Publications

Quantitative Imaging


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Articles in journal or book chapters
2024
  1. D. Acharya, M. Farazi, V. Rolland, L. Petersson, U. Rosebrock, D. Smith, J. Ford, D. Wang, G. Tuck, R. Little, and C. Wilcox. Towards automatic anomaly detection in fisheries using electronic monitoring and automatic identification system. Fisheries Research, 272(106939), April 2024. [DOI] [bibtex-entry]

  2. D. Acharya, M. Saqib, C. Devine, C. Untiedt, R. Little, D. Wang, and G. Tuck. Using deep learning to automate the detection of bird scaring lines on fishing vessels. Biological Conservation, 296:1--9, August 2024. [DOI] [bibtex-entry]

  3. M. Alam, D. Wang, and A. Sowmya. AMFP-net: Adaptive multi-scale feature pyramid network for diagnosis of pneumoconiosis from chest X-ray images. Artificial Intelligence in Medicine, 154:1--11, August 2024. [DOI] [bibtex-entry]

  4. M. Alam, D. Wang, and A. Sowmya. DLA-Net: Dual Lesion Attention Network for classification of pneumoconiosis using chest X-Ray images. Scientific Reports, 14:1--12, May 2024. [DOI] [bibtex-entry]

  5. Q. Jin, H. Cui, C. Sun, Y. Song, J. Zheng, L. Cao, L. Wei, and R. Su. Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation. Expert Systems with Applications, 238(D):122093, March 2024. [DOI] [bibtex-entry]

  6. X. Li, T. Zhang, Z. Liu, B. Liu, S. u. Rehman, B. Rehman, and C. Sun. Saliency Guided Siamese Attention Network for Infrared Ship Target Tracking. IEEE Transactions on Intelligent Vehicles, 2024. [DOI] [bibtex-entry]

  7. K. Lin, W. Wen, D. Lipnick, L. Mewton, R. Chen, J. Du, D. Wang, I. Skoog, R. Sterner, J. Najar, K. Kim, J. Han, J. Kim, T. Ng, R. Ho, D. Chua, K. Anstey, N. Cherbuin, M. Mortby, H. Brodaty, N. Kochan, P. Sachdev, and J. Jiang. Risk factors and cognitive correlates of white matter hyperintensities in ethnically diverse populations without dementia: the COSMIC consortium. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 16(1):1--11, March 2024. [DOI] [bibtex-entry]

  8. C. Liu, P. Li, L. Li, Z. Huang, D. Wang, and X. Yu. BAVS: Bootstrapping Audio-Visual Segmentation by Integrating Foundation Knowledge. IEEE Transactions on Multimedia, pp 1--13, May 2024. [DOI] [bibtex-entry]

  9. Z. Liu, X. Li, T. Zhang, X. Zhang, C. Sun, S. u. Rehman, and J. Ahmad. A Two-branch Edge Guided Lightweight Network for Infrared Image Saliency Detection. Computers and Electrical Engineering, 118(A):109296, August 2024. [DOI] [bibtex-entry]

  10. J. Ren, C. Li, Y. An, W. Zhang, and C. Sun. Few-Shot Fine-Grained Image Classification: A Comprehensive Review. AI, 5(1):405--425, 6 March 2024. [DOI] [bibtex-entry]

  11. M. Saqib, M. R. Khokher, X. Yuan, B. Yan, D. Bearham, C. Devine, C. Untiedt, T. Cannard, K. Maguire, G. N. Tuck, R. Little, and D. Wang. Fishing Event Detection and Species Classification using Computer Vision and Artificial Intelligence for Electronic Monitoring. Fisheries Research, 280(107141):1-16, December 2024. [DOI] [bibtex-entry]

  12. J. Song, A. Sowmya, J. Kato, and C. Sun. Efficient Masked Feature and Group Attention Network for Stereo Image Super-Resolution. Image and Vision Computing, 151:105252, November 2024. [DOI] [bibtex-entry]

  13. J. Song, A. Sowmya, and C. Sun. Efficient Hybrid Feature Interaction Network for Stereo Image Super-Resolution. IEEE Transactions on Multimedia, 26:10094--10105, 27 May 2024. [DOI] [bibtex-entry]

  14. R. Su, J. Han, C. Sun, D. Zhang, J. Geng, P. Wang, and X. Zeng. Prediction of anti-cancer drug synergy based on cross-matching network and cancer molecular subtypes. Computers in Biology and Medicine, 175:108441, June 2024. [DOI] [bibtex-entry]

  15. R. Wu, M. Wang, Z. Li, J. Zhou, F. Chen, X. Wang, and C. Sun. Few-shot Stereo Matching with High Domain Adaptability Based on Adaptive Recursive Network. International Journal of Computer Vision, 132(5):1484--1501, May 2024. [DOI] [bibtex-entry]

  16. W. Zhang, Y. Zhao, Y. Gao, and C. Sun. Re-abstraction and Perturbing Support Pair Network for Few-Shot Fine-Grained Image Classification. Pattern Recognition, 148:110158, April 2024. [DOI] [bibtex-entry]

  17. Q. Zheng, D. Liu, C. Wang, J. Zhang, D. Wang, and D. Tao. ESceme: Vision-and-Language Navigation with Episodic Scene Memory. International Journal of Computer Vision, pp 1--21, July 2024. [DOI] [bibtex-entry]

2023
  1. D. Ahmedt-Aristizabal, C. Nguyen, L. Tychsen-Smith, A. Stacey, S. Li, J. Pathikulangara, L. Petersson, and D. Wang. Monitoring of Pigmented Skin Lesions Using 3D Whole Body Imaging. Computer Methods and Programs in Biomedicine, 232:107451, March 2023. [bibtex-entry]

  2. M. S. Alam, D. Wang, Q. Liao, and A. Sowmya. A Multi-scale Context aware Attention Model for Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics, pp 1--10, 2023. [DOI] [bibtex-entry]

  3. T.-N. Doan and C. Nguyen. A low-cost digital 3D insect scanner. Information Processing in Agriculture, 2023. [DOI] [bibtex-entry]

  4. J. Jing, T. Gao, W. Zhang, Y. Gao, and C. Sun. Image Feature Information Extraction for Interest Point Detection: A Comprehensive Review. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(4):4694--4712, April 2023. [DOI] [bibtex-entry]

  5. J. Jing, C. Liu, W. Zhang, Y. Gao, and C. Sun. ECFRNet: Effective corner feature representations network for image corner detection. Expert Systems with Applications, 211:118673, January 2023. [DOI] [bibtex-entry]

  6. Y. Jing, T. Zhang, Z. Liu, Y. Hou, and C. Sun. Swin-ResUNet+: An edge enhancement module for road extraction from remote sensing images. Computer Vision and Image Understanding, 237:103807, December 2023. [DOI] [bibtex-entry]

  7. M. R. Khokher, Q. Liao, A. Smith, C. Sun, D. Mackenzie, M. R. Thomas, D. Wang, and E. Edwards. Early Yield Estimation in Viticulture based on Grapevine Inflorescence Detection and Counting in Videos. IEEE Access, 2023. [DOI] [bibtex-entry]

  8. H. Liu, D. Wang, K. Xu, P. Zhou, and D. Zhou. Lightweight convolutional neural network for counting densely piled steel bars. Automation in Construction, 146(104692):1--14, 2023. [DOI] [bibtex-entry]

  9. J. Lu, G. Peng, W. Zhang, and C. Sun. Track-before-detect Algorithm based on Cost-reference Particle Filter Bank for Weak Target Detection. IEEE Access, 11:121688--121701, November 2023. [DOI] [bibtex-entry]

  10. J. Song, K. Liu, A. Sowmya, and C. Sun. Super-resolution phase retrieval network for single-pattern structured light 3D imaging. IEEE Transactions on Image Processing, 32:537--549, January 2023. [DOI] [bibtex-entry]

  11. R. Su, H. He, C. Sun, X. Wang, and X. Liu. Prediction of drug-induced hepatotoxicity based on histopathological whole slide images. Methods, 212:31--38, April 2023. [DOI] [bibtex-entry]

  12. L. Sun, J. Bockman, and C. Sun. A Framework for Leveraging Interimage Information in Stereo Images for Enhanced Semantic Segmentation in Autonomous Driving. IEEE Transactions on Instrumentation and Measurement, 72:5033112, October 2023. [DOI] [bibtex-entry]

  13. M. Xi, A. Rahman, C. Nguyen, S. Arnold, and J. McCulloch. Smart Headset, Computer Vision and Machine Learning for Efficient Prawn Farm Management. Aquacultural Engineering, 102:102339, 2023. [bibtex-entry]

  14. W. Zhang, C. Sun, and Y. Gao. Image intensity variation information for interest point detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(8):9883--9894, August 2023. [DOI] [bibtex-entry]

  15. Q. Zheng, C. Wang, D. Wang, and D. Tao. Visual superordinate abstraction for robust concept learning. Machine Intelligence Research, 20(1):79--91, February 2023. [DOI] [bibtex-entry]

2022
  1. L. Devnath, Z. Fan, S. Luo, P. Summons, and D. Wang. Detection and Visualisation of Pneumoconiosis Using an Ensemble of Multi-Dimensional Deep Features Learned from Chest X-rays. International Journal of Environmental Research and Public Health, 19(18):1-21, September 2022. [DOI] [bibtex-entry]

  2. L. Devnath, S. Luo, P. Summons, and D. Wang. Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker's Chest X-ray Radiography. Journal of Clinical Medicine, 11(18), September 2022. [DOI] [bibtex-entry]

  3. L. Devnath, P. Summons, S. Luo, D. Wang, K. Shaukat, I. Hameed, and H. Aljuaid. Computer-aided diagnosis of coal workers pneumoconiosis in chest X-ray radiographs using machine learning: A systematic review. International Journal of Environmental Research and Public Health, 19(4):1--23, May 2022. [DOI] [bibtex-entry]

  4. J. Jiang, D. Wang, Y. Song, P. Sachdev, and W. Wen. Computer-aided extraction of select MRI markers of cerebral small vessel disease: A systematic review. NeuroImage, 261(119528):1--18, August 2022. [DOI] [bibtex-entry]

  5. J. Jing, S. Liu, G. Wang, W. Zhang, and C. Sun. Recent advances on image edge detection: A comprehensive review. Neurocomputing, 503:259--271, September 2022. [DOI] [bibtex-entry]

  6. T. Liu, R. Su, C. Sun, X. Li, and L. Wei. EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological Images. Expert Systems with Applications, 206:117643, November 2022. [DOI] [bibtex-entry]

  7. J. Lu, Y. Zhao, W. Zhang, and C. Sun. Image Local Structure Information Learning for Fine-Grained Visual Classification. Scientific Reports, 12:19205, 10 November 2022. [DOI] [bibtex-entry]

  8. L. Sun, W. Yin, E. Xie, Z. Li, C. Sun, and C. Shen. Improving Monocular Visual Odometry Using Learned Depth. IEEE Transactions on Robotics, 38(5):3173--3186, October 2022. [DOI] [bibtex-entry]

  9. M. Wang, C. Sun, and A. Sowmya. Efficient Corner Detection Based on Corner Enhancement Filters. Digital Signal Processing, 122:103364, April 2022. [DOI] [bibtex-entry]

  10. M. Wang, C. Sun, and A. Sowmya. Complex Shearlets and Rotary Phase Congruence Tensor for Corner Detection. Pattern Recognition, 128:108606, August 2022. [DOI] [bibtex-entry]

  11. Y. Xu, X. Yu, J. Zhang, L. Zhu, and D. Wang. Weakly Supervised RGB-D Salient Object Detection With Prediction Consistency Training and Active Scribble Boosting. IEEE Transactions on Image Processing, 31:2148--2161, March 2022. [DOI] [bibtex-entry]

  12. Z. Zheng, T. Zhang, Z. Liu, B. Liu, Y. Li, and C. Sun. Arbitrarily Oriented Object Detection in Remote Sensing Images Based on Improved YOLOv4-CSP. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15:9355--9368, October 2022. [DOI] [bibtex-entry]

2021
  1. S. Amirgholipour, W. Jia, L. Liu, X. Fan, D. Wang, and X. He. PDANet: Pyramid Density-aware Attention based Network for Accurate Crowd Counting. Neurocomputing, pp 1--16, April 2021. [DOI] [bibtex-entry]

  2. S. A. H. Chowdhury, C. Nguyen, H. Li, and R. Hartley. Fixed-Lens camera setup and calibrated image registration for multifocus multiview 3D reconstruction. Neural Computing and Applications, 33:7421--7440, 2021. [bibtex-entry]

  3. Q. Jin, H. Cui, C. Sun, Z. Meng, and R. Su. Free-form tumor synthesis in computed tomography images via richer generative adversarial network. Knowledge-Based Systems, 218:106753, April 2021. [DOI] [bibtex-entry]

  4. Q. Jin, H. Cui, C. Sun, Z. Meng, and R. Su. Cascade knowledge diffusion network for skin lesion diagnosis and segmentation. Applied Soft Computing, 99:106881, February 2021. [DOI] [bibtex-entry]

  5. Q. Jin, H. Cui, C. Sun, Z. Meng, L. Wei, and R. Su. Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images. Expert Systems with Applications, 176:114848, August 2021. [DOI] [bibtex-entry]

  6. J. Ke, Y. Lu, Y. Shen, J. Deng, J. Wright, Y. Zhang, H. Qin, D. Wang, X. Liang, and F. Jiang. Quantitative Analysis of Abnormalities in Gynecologic Cytopathology with Deep Learning. Laboratory Investigation, 101:513--524, February 2021. [DOI] [bibtex-entry]

  7. M. R. Khokher, L. R. Little, G. N. Tuck, D. V. Smith, M. Qiao, C. Devine, H. O'Neill, J. Pogonoski, R. Arangio, and D. Wang. Early lessons in deploying cameras and artificial intelligence technology for fisheries catch monitoring: where machine learning meets commercial fishing. Canadian Journal of Fisheries and Aquatic Sciences, July 2021. [DOI] [bibtex-entry]

  8. D. Li, P. Tang, R. Zhang, C. Sun, Y. Li, J. Qian, Y. Liang, J. Yang, and L. Zhang. Robust Blood Cell Image Segmentation Method Based on Neural Ordinary Differential Equations. Computational and Mathematical Methods in Medicine, 2021:5590180, August 2021. [DOI] [bibtex-entry]

  9. Q. Liao, D. Wang, and M. Xu. Category Attention Transfer for Efficient Fine-Grained Visual Categorization. Pattern Recognition Letter, pp 1-7, November 2021. [DOI] [bibtex-entry]

  10. S. Lopez-Marcano, E. Jinks, C. J. Brown, D. Wang, B. Kusy, E. Ditria, and R. Connolly. Automatic detection of fish and tracking of movement for ecology. Ecology and Evolution, pp 1--10, May 2021. [DOI] [bibtex-entry]

  11. L. Mo, L. Zhu, J. Ma, D. Wang, and H. Wang. MDRSteg: large-capacity image steganography based on multi-scale dilated ResNet and combined chi-square distance loss. Journal of Electronic Imaging, 30(1):013018, February 2021. [DOI] [bibtex-entry]

  12. G. Wang, C. Sun, and A. Sowmya. Context-enhanced Representation Learning for Single Image Deraining. International Journal of Computer Vision, 129(5):1650--1674, May 2021. [DOI] [bibtex-entry]

  13. G. Wang, C. Sun, and A. Sowmya. Attentive Feature Refinement Network for Single Rainy Image Restoration. IEEE Transactions on Image Processing, 30:3734--3747, March 2021. [DOI] [bibtex-entry]

  14. M. Zhang, Y. Gao, C. Sun, and M. Blumenstein. Robust Tensor Decomposition for Image Representation based on Generalized Correntropy. IEEE Transactions on Image Processing, 30:150--162, 2021. [DOI] [bibtex-entry]

  15. W. Zhang and C. Sun. Corner detection using second-order generalized Gaussian directional derivative representations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(4):1213--1224, April 2021. [DOI] [bibtex-entry]

  16. L. Zhu, X. Wen, L. Mo, J. Ma, and D. Wang. Robust location-secured high-definition image watermarking based on key-point detection and deep learning. Optik, 248, December 2021. [DOI] [bibtex-entry]

  17. X. Zong, Z. Chen, and D. Wang. Local-CycleGAN: A General End-to-End Network for Visual Enhancement. Applied Intelligence, 51:1947--1958, April 2021. [DOI] [bibtex-entry]

2020
  1. M. Dai, G. Xiao, S. Cheng, D. Wang, and X. He. Structural Correlation Filters Combined with a Gaussian Particle Filter for Hierarchical Visual Tracking. Neurocomputing, February 2020. [DOI] [bibtex-entry]

  2. L. Devnath, S. Luo, P. Summons, and D. Wang. Automated Detection of Pneumoconiosis with Multilevel Deep Features Learned from Chest X-Ray Radiographs. Computers in Biology and Medicine, 2020. [bibtex-entry]

  3. T. Gao, J. Jing, C. Liu, W. Zhang, Y. Gao, and C. Sun. Fast corner detection using approximate form of second-order Gaussian directional derivative. IEEE Access, 8:194092--194104, October 2020. [DOI] [bibtex-entry]

  4. Q. Jin, Z. Meng, C. Sun, H. Cui, and R. Su. RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans. Frontiers in Bioengineering and Biotechnology, 8:605132, December 2020. [DOI] [bibtex-entry]

  5. D. Li, C. Sun, S. Wei, Y. Yu, and J. Yang. Robust Cell Image Segmentation via Improved Markov Random Field based on a Chinese Restaurant Process Model. Journal of Advanced Computational Intelligent and Intelligent Informatics, 24(7):963--971, December 2020. [DOI] [bibtex-entry]

  6. Y. Li, Y. Bi, W. Zhang, and C. Sun. Multi-scale Anisotropic Gaussian Kernels for Image Edge Detection. IEEE Access, 8:1803--1812, 2020. [DOI] [bibtex-entry]

  7. M. Qiao, D. Wang, G. Tuck, L. Little, A. Punt, and M. Gerner. Deep learning methods applied to electronic monitoring data: Automated catch event detection for longline fishing. ICES Journal of Marine Science, 2020. [bibtex-entry]

  8. S. Rahman, L. Wang, C. Sun, and L. Zhou. Deep Learning for HEp-2 Image Classification: A Comprehensive Review. Medical Image Analysis, 65:101764, October 2020. [DOI] [bibtex-entry]

  9. H. Sanicola, C. Stewart, M. Mueller, F. Ahmadic, D. Wang, S. Powell, K. Sarkar, K. Cutbush, M. Woodruff, and D. Brafman. Guidelines for Establishing a 3-D Printing Biofabrication Laboratory. Biotechnology Advances, 2020. [bibtex-entry]

  10. C. E. Stewart, C. Kan, B. R. Stewart, H. W. 3rd Sanicola, J. P. Jung, O. Sulaiman, and D. Wang. Machine intelligence for nerve conduit design and production. Journal of Biological Engineering, 14:25, 2020. [DOI] [bibtex-entry]

  11. R. Su, T. Liu, C. Sun, Q. Jin, R. Jennane, and L. Wei. Fusing convolutional neural network features with hand-crafted features for osteoporosis diagnoses. Neurocomputing, 385:300--309, April 2020. [DOI] [bibtex-entry]

  12. G. Wang, C. Sun, and A. Sowmya. Multi-weighted co-occurrence feature encoding for vein recognition. IEEE Transactions on Information Forensics and Security, 15:375--390, 2020. [DOI] [bibtex-entry]

  13. G. Wang, C. Sun, and A. Sowmya. Learning a compact vein discrimination model with GANerated samples. IEEE Transactions on Information Forensics and Security, 15:635--650, 2020. [DOI] [bibtex-entry]

  14. G. Wang, C. Sun, and A. Sowmya. Cascaded Attention Guidance Network for Single Rainy Image Restoration. IEEE Transactions on Image Processing, 29:9190--9203, September 2020. [DOI] [bibtex-entry]

  15. M. Wang, W. Zhang, C. Sun, and A. Sowmya. Corner Detection Based on Shearlet Transform and Multi-directional Structure Tensor. Pattern Recognition, 103:107299, July 2020. [DOI] [bibtex-entry]

  16. M. Zhang, Y. Gao, C. Sun, and M. Blumenstein. A Robust Matching Pursuit Algorithm Using Information Theoretic Learning. Pattern Recognition, 107:107415, November 2020. [DOI] [bibtex-entry]

  17. W. Zhang and C. Sun. Corner detection using multi-directional structure tensor with multiple scales. International Journal of Computer Vision, 128(2):438--459, February 2020. [DOI] [bibtex-entry]

2019
  1. X. Bai, C. Sun, and C. Sun. Cell segmentation based on FOPSO combined with shape information improved intuitionistic FCM. IEEE Journal of Biomedical and Health Informatics, 23(1):449--459, January 2019. [DOI] [bibtex-entry]

  2. Y.-F. Chen, C.-S. Lin, C.-F. Hong, D.-J. Lee, C. Sun, and H.-H. Lin. Design of a Clinical Decision Support System for Prediction of Erectile Dysfunction in Men. IEEE Journal of Biomedical and Health Informatics, 23(5):2127--2137, September 2019. [DOI] [bibtex-entry]

  3. D. He, K. Xu, and D. Wang. Design of multi-scale receptive field convolutional neural network for surface inspection of hot rolled steels. Image and Vision Computing, 89:12--20, September 2019. [bibtex-entry]

  4. D. Li, L. Zhang, C. Sun, T. Yin, C. Liu, and J. Yang. Robust Retinal Image Enhancement via Dual-tree Complex Wavelet Transform and Morphology-based Method. IEEE Access, 7:47303--47316, April 2019. [DOI] [bibtex-entry]

  5. Y. Liu, G. Liu, C. Liu, and C. Sun. A novel color-texture descriptor based on local histograms for image segmentation. IEEE Access, 7:160683--160695, December 2019. [DOI] [bibtex-entry]

  6. B. Wang, Y. Gao, C. Sun, M. Blumenstein, and J. La Salle. Chord Bunch Walks for Recognizing Naturally Self-overlapped and Compound Leaves. IEEE Transactions on Image Processing, 28(12):5963--5976, December 2019. [DOI] [bibtex-entry]

  7. W. Zhang, C. Sun, T. Breckon, and N. Alshammari. Discrete Curvature Representations for Noise Robust Image Corner Detection. IEEE Transactions on Image Processing, 28(9):4444--4459, September 2019. [DOI] [bibtex-entry]

  8. J. Zhao, Z. Meng, L. Wei, C. Sun, Q. Zou, and R. Su. Supervised brain tumor segmentation based on gradient and context-sensitive features. Frontiers in Neuroscience, 13:144, March 2019. [WWW] [DOI] [bibtex-entry]

  9. Y. Zheng, F. Zhou, L. Li, X. Bai, and C. Sun. Mutual Guidance-based Saliency Propagation for Infrared Pedestrian Images. IEEE Access, 7:113355--113371, December 2019. [DOI] [bibtex-entry]

2018
  1. M. Dai, S. Cheng, X. He, and D. Wang. Object tracking in the presence of shaking motions. Neural Computing and Applications, 2018. [bibtex-entry]

  2. L. Devnath, S. Luo, P. Summons, and D. Wang. Tuberculosis (TB) Classification in Chest Radiographs Using Deep Convolutional Neural Networks. International Journal of Advances in Science, Engineering, and Technology, 6(3), 2018. [bibtex-entry]

  3. M. Li and C. Sun. Refinement of LiDAR point clouds using a super-voxel-based approach. ISPRS Journal of Photogrammetry and Remote Sensing, 14:213--221, September 2018. [DOI] [bibtex-entry]

  4. Y. Liu, K. Xu, and D. Wang. Online Surface Defect Identification of Cold Rolled Strips Based on Local Binary Pattern and Extreme Learning Machine. Metals, 8(3):1--18, March 2018. [DOI] [bibtex-entry]

  5. Z. Liu, X. Bai, C. Sun, F. Zhou, and Y. Li. Multi-modal ship target image smoothing based on adaptive mean shift. IEEE Access, 6:12573--12586, March 2018. [DOI] [bibtex-entry]

  6. S. Zhang, G. Tang, X. Liu, S. Luo, and D. Wang. Retinex based low-light image enhancement using guided filtering and variational framework. Optoelectronics Letters, 14(2):156--160, March 2018. [DOI] [bibtex-entry]

  7. Y. Zhang, G. Tang, X. Liu, and C. Sun. Disparity-based Error Concealment for Stereoscopic Images with Superpixel Segmentation. KSII Transactions on Internet and Information Systems, 12(9):4375--4388, September 2018. [DOI] [bibtex-entry]

  8. P. Zhou, K. Xu, and D. Wang. Rail Profile Measurement Based on Line-structured Light Vision. IEEE Access, 2018. [DOI] [bibtex-entry]

2017
  1. M. Berman, L. Bischof, R. Lagerstrom, Y. Guo, J. Huntington, P. Mason, and A. Green. A Comparison Between Three Sparse Unmixing Algorithms Using a Large Library of Shortwave Infrared Mineral Spectra. IEEE Transactions on Geoscience and Remote Sensing, 55(6):3588--3610, June 2017. [DOI] [bibtex-entry]

  2. Y. Jiang, C. Sun, Y. Zhao, and L. Yang. Fog Density Estimation and Image Defogging Based on Surrogate Modeling for Optical Depth. IEEE Transactions on Image Processing, 26(7):3397--3409, July 2017. [DOI] [bibtex-entry]

  3. Y. Jiang, C. Sun, Y. Zhao, and L. Yang. Image Dehazing Using Adaptive Bi-Channel Priors on Superpixels. Computer Vision and Image Understanding, 165:17--32, December 2017. [DOI] [bibtex-entry]

  4. D. Li, C. Sun, J. Yang, H. Liu, J. Peng, and L. Zhang. Robust Multi-frame Adaptive Optics Image Restoration Algorithm Using Maximum Likelihood Estimation with Poisson Statistics. Sensors, 17(4):785, April 2017. [DOI] [bibtex-entry]

  5. X. Tan, C. Sun, F. Shen, and K.-Y. Wong. Efficient Message Passing Methods with Fully Connected Models for Early Vision. IEEE Transactions on Image Processing, 26(12):5994--6005, December 2017. [DOI] [bibtex-entry]

  6. L. Zhu, M. Ma, Z. Zhang, P. Zhang, W. Wu, D. Wang, D. Zhang, X. Wang, and H. Wang. Hybrid deep learning for automated lepidopteran insect image classification. Oriental Insects, 51(2):79--91, 2017. [DOI] [bibtex-entry]

2016
  1. R. Balez, N. Steiner, M. Engel, S. Sanz Munoz, J. Lum, Y. Wu, D. Wang, P. Vallotton, P. Sachdev, M. O'Connor, K. Sidhu, G. Münch, and L. Ooi. Neuroprotective effects of apigenin against inflammation, neuronal excitability and apoptosis in an induced pluripotent stem cell model of Alzheimer's disease. Scientific Reports, 6:31450, August 2016. [DOI] [bibtex-entry]

  2. L. Bischof, M. Prevorovsky, C. Rallis, D. C. Jeffares, Y. Arzhaeva, and J. Bähler. Spotsizer: High-throughput quantitative analysis of microbial growth. BioTechniques, 2016. [bibtex-entry]

  3. E. Gates-Stuart, C. Nguyen, M. Adcock, J. Bradley, M. Morell, and D. Lovell. Art and science as creative catalysts. Leonardo, 49(5):452--453, 2016. [bibtex-entry]

  4. Y. Jiang, C. Sun, X. Tan, and L. Yang. Orientation-Guided Geodesic Weighting for PatchMatch-based Stereo Matching. Information Sciences, 334-335:293--306, March 2016. [DOI] [bibtex-entry]

  5. R. Lagerstrom, Y. Arzhaeva, P. Szul, O. Obst, R. Power, B. Robinson, and T. Bednarz. Image Classification to Support Emergency Situation Awareness. Frontiers in Robotics and AI, 3:54, 2016. [DOI] [bibtex-entry]

  6. J. Li, J. K. Ward, J. Tong, L. Collins, and G. Platt. Machine Learning for Solar Irradiance Forecasting of Photovoltaic System. Journal of Renewable Energy, 90:542--553, May 2016. [DOI] [bibtex-entry]

  7. M. Li, Z. Sun, S. Liu, Y. Ma, H. Ma, C. Sun, and Y. Jia. Stereo Vision Technologies for China's Lunar Rover Exploration Mission. International Journal of Robotics and Automation, 31(2):128--136, March 2016. [DOI] [bibtex-entry]

  8. X. Li, S. Luo, Q. Hu, J. Li, D. Wang, and F. Chiong. Automatic Lung Field Segmentation in X-ray Radiographs Using Statistical Shape and Appearance Models. Journal of Medical Imaging and Health Informatics, 6(2):338--348, April 2016. [DOI] [bibtex-entry]

  9. Z. Liu, X. Bai, C. Sun, F. Zhou, and Y. Li. Infrared ship target segmentation through integration of multiple feature maps. Image and Vision Computing, 48-49:14--25, April-May 2016. [DOI] [bibtex-entry]

  10. R. Su, C. Zhang, T. D. Pham, R. Davey, L. Bischof, P. Vallotton, D. Lovell, S. Hope, S. Schmoelzl, and C. Sun. Detection of Tubule Boundaries based on Circular Shortest Path and Polar-Transformation of Arbitrary Shape. Journal of Microscopy, 264(2):127--142, November 2016. [DOI] [bibtex-entry]

  11. H. Tan, Y. Fu, D. Wang, X. Zhang, and T. Xiao. Quantitative analysis of 3D vasculature for evaluation of angiogenesis in liver fibrosis with SR-uCT. Nuclear Science and Techniques, 27(125):1--9, September 2016. [DOI] [bibtex-entry]

  12. H. Tan, D. Wang, R. Li, C. Sun, R. Lagerstrom, Y. He, Y. Xue, and T. Xiao. A robust method for high-precision quantification of the complex three-dimensional vasculatures acquired by X-ray microtomography. Journal of Synchrotron Radiation, 23(5):1216--1226, September 2016. [DOI] [bibtex-entry]

  13. X. Tan, C. Sun, and T. D. Pham. Stereo Matching based on Multi-Direction Polynomial Model. Signal Processing: Image Communication, 44:44--56, May 2016. [DOI] [bibtex-entry]

  14. X. Tan, C. Sun, and T. D. Pham. Edge-aware Filtering with Local Polynomial Approximation and Rectangle-based Weighting. IEEE Transactions on Cybernetics, 46(12):2693--2705, December 2016. [DOI] [bibtex-entry]

  15. X. Tan, C. Sun, K.-Y. K. Wong, and T. D. Pham. Guided Image Completion by Confidence Propagation. Pattern Recognition, 50:210--222, February 2016. [DOI] [bibtex-entry]

  16. D. Wang, L. Bischof, R. Lagerstrom, V. Hilsenstein, A. Hornabrook, and G. Hornabrook. Automated Opal Grading by Imaging and Statistical Learning. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 46(2):185--201, February 2016. [DOI] [bibtex-entry]

  17. F. Westling, C. Sun, D. Wang, and F. I. Alam. Fish Counting and Measurement: A Modular Framework and Implementation. In J. Zhou, X. Bai, and T. Caelli, editors,Computer Vision and Pattern Recognition in Environmental Informatics, chapter 3, pages 41--57. IGI Global, 2016. [DOI] [bibtex-entry]

  18. X. Xiong, F. Zhou, X. Bai, B. Xue, and C. Sun. Semi-automated Infrared Simulation on Real Urban Scenes from Multi-view Images. Optics Express, 24(11):11345--11375, May 2016. [DOI] [bibtex-entry]

  19. L. Zhu, X. Wang, D. Wang, and H. Wang. Single image depth estimation based on Convolutional Neural Network and sparse connected Conditional Random Field. Optical Engineering, 55(10):103101, October 2016. [DOI] [bibtex-entry]

2015
  1. M. Adcock and C. Gunn. Using Projected Light for Mobile Remote Guidance. Computer Supported Cooperative Work, 24(6):591--611, 2015. [bibtex-entry]

  2. N. M. Altarawneh, S. Luo, B. Regan, and C. Sun. A Modified Distance Regularized Level Set Model for Liver Segmentation from CT Images. Signal and Image Processing: An International Journal, 6(1):1--11, February 2015. [DOI] [bibtex-entry]

  3. I. Arganda-Carreras, D. Berger, D. Ciresan, A. Giusti, L. M. Gambardella, J. Schmidhuber, D. Laptev, S. Dwivedi, J. Buhmann, T. Liu, M. Seyedhosseini, T. Tasdizen, L. Kamentsky, R. Burget, V. Uher, X. Tan, C. Sun, T. D. Pham, E. Bas, M. G. Uzunbas, S. Turaga, A. Cardona, J. Schindelin, and H. S. Seung. Crowdsourcing the creation of image segmentation algorithms for connectomics. Frontiers in Neuroanatomy, 9:142, November 2015. [DOI] [bibtex-entry]

  4. X. Bai, P. Wang, C. Sun, F. Zhou, Y. Zhang, and C. Meng. Finding Splitting Lines for Touching Cell Nuclei with a Shortest Path Algorithm. Computers in Biology and Medicine, 63:277--286, August 2015. [DOI] [bibtex-entry]

  5. T. Bednarz, D. Wang, Y. Arzhaeva, R. Lagerstrom, P. Vallotton, N. Budett, A. Khassapov, P. Szul, S. Chen, C. Sun, L. Domanski, D. Thompson, T. Gureyev, and J. Taylor. Cloud Based Toolbox for Image Analysis, Processing and Reconstruction Tasks. In C. Sun, T. Bednarz, T. D. Pham, P. Vallotton, and D. Wang, editors,Signal and Image Analysis for Biomedical and Life Sciences, chapter 11, pages 191--205. Springer, 2015. [DOI] [bibtex-entry]

  6. D. C. Jeffares, C. Rallis, A. Rieux, D. Speed, M. Prevorovsky, T. Mourier, F. X. Marsellach, Z. Iqbal, W. Lau, T. M. K. Cheng, R. Pracana, M. Mulleder, J. L. D. Lawson, A. Chessel, S. Bala, G. Hellenthal, B. O'Fallon, T. Keane, J. T. Simpson, L. Bischof, B. Tomiczek, D. A. Bitton, T. Sideri, S. Codlin, J. E. E. U. Hellberg, L. van Trigt, L. Jeffery, J.-J. Li, S. Atkinson, M. Thodberg, M. Febrer, K. McLay, N. Drou, W. Brown, J. Hayles, R. E. Salas, M. Ralser, N. Maniatis, D. J. Balding, F. Balloux, R. Durbin, and J. Bahler. The genomic and phenotypic diversity of Schizosaccharomyces pombe. Nat Genet, 47(3):235--241, March 2015. [DOI] [bibtex-entry]

  7. R. Lagerstrom, K. Holt, Y. Arzhaeva, L. Bischof, S. Haberle, F. Hopf, and D. Lovell. Pollen Image Classification Using the Classifynder System: Algorithm Comparison and a Case Study on New Zealand Honey. In C. Sun, T. Bednarz, T. D. Pham, P. Vallotton, and D. Wang, editors,Signal and Image Analysis for Biomedical and Life Sciences, chapter 12, pages 207--226. Springer, 2015. [DOI] [bibtex-entry]

  8. M. Li, S. Liu, Z. Sun, C. Sun, and Y. Jia. Descent Images Based Landing Area Terrain Reconstruction Technology for China's Chang'e-3 Lunar Exploration Mission. The Imaging Science Journal, 63(8):440--446, November 2015. [DOI] [bibtex-entry]

  9. R. Li, D. Wang, C. Sun, R. Lagerstrom, H. Tan, Y. He, and T. Xiao. Towards Automated Quantitative Vasculature Understanding via Ultra High-Resolution Imagery. In C. Sun, T. Bednarz, T. D. Pham, P. Vallotton, and D. Wang, editors,Signal and Image Analysis for Biomedical and Life Sciences, chapter 10, pages 177--189. Springer, 2015. [DOI] [bibtex-entry]

  10. H. Rezatofighi, S. Gould, B. T. Vo, B.-N. Vo, K. Mele, and R. Hartley. Multi-Target Tracking With Time-Varying Clutter Rate and Detection Profile: Application to Time-Lapse Cell Microscopy Sequences. IEEE Transactions on Medical Imaging, 34(6):1336--1348, June 2015. [DOI] [bibtex-entry]

  11. H. Tan, D. Wang, Y. Xue, Y. Wang, Y. Yang, and T. Xiao. Implementation of Parallel Computation and Accelerating Analysis for 3D Thinning Skeletonisation Based on OpenMP. ACTA Optica Sinica, 35(11):1117003, 2015. [bibtex-entry]

  12. X. Tan, C. Sun, X. Sirault, R. Furbank, and T. D. Pham. Feature Matching in Stereo Images Encouraging Uniform Spatial Distribution. Pattern Recognition, 48(8):2530--2542, August 2015. [DOI] [bibtex-entry]

  13. P. Vallotton, B. Angel, M. McCall, M. Osmond, and J. Kirby. Imaging nanoparticle-algae interactions in three dimensions using Cytoviva microscopy. Journal of Microscopy, 257(2):166--169, 2015. [DOI] [bibtex-entry]

  14. M. Yuwono, Y. Guo, J. Wall, J. Li, S. West, G. Platt, and S. W Su. Unsupervised Feature Selection using Swarm Intelligence and Consensus Clustering for Automatic Fault Detection and Diagnosis in Heating Ventilation and Air Conditioning Systems. Journal of Applied Soft Computing, 34:402--425, September 2015. [DOI] [bibtex-entry]

  15. C. Zhang, C. Sun, R. Su, and T. D. Pham. Clustered nuclei splitting via curvature information and gray-scale distance transform. Journal of Microscopy, 259(1):36--52, July 2015. [DOI] [bibtex-entry]

  16. L. Zhu, Y. Zhou, D. Zhang, D. Wang, H. Wang, and X. Wang. Parallel multi-level 2D-DWT on CUDA GPUs and its application in ring artifact removal. Concurrency and Computation: Practice and Experience, 27(17):5188--5202, December 2015. [DOI] [bibtex-entry]

2014
  1. N. M. Altarawneh, S. Luo, B. Regan, C. Sun, and F. Jia. Global Threshold and Region-based Active Contour Model for Accurate Image Segmentation. Signal and Image Processing: An International Journal, 5(3):1--11, June 2014. [DOI] [bibtex-entry]

  2. Z. Liu, F. Zhou, X. Chen, X. Bai, and C. Sun. Iterative infrared ship target segmentation based on multiple features. Pattern Recognition, 47(9):2839--2852, September 2014. [DOI] [bibtex-entry]

  3. K. Mele, B. M. T. Lekamge, V. Fazio, and J. Newman. Using Time-Courses to Enrich the Information Obtained from Images of Crystallization Trials. Crystal Growth & Design, 14(1):261--269, 2014. [DOI] [bibtex-entry]

  4. K. Mele, R. Li, V. Fazio, and J. Newman. Quantifying the quality of the experiments used to grow protein crystals: the iQC suite. Journal of Applied Crystallography, 47(3):1097--1106, June 2014. [DOI] [bibtex-entry]

  5. C. Nguyen, D. Lovell, M. Adcock, and J. La Salle. Capturing natural-colour 3D models of insects for species discovery and diagnostics. PLoS One, 9(4):e94346, 2014. [DOI] [bibtex-entry]

  6. M. Payne, D. Wang, C. Sinclair, R. Kapsa, A. Quigley, G. Wallace, J. Razal, R. Baughman, G. Münch, and P. Vallotton. Automated quantification of neurite outgrowth orientation distributions on patterned surfaces. Journal of Neural Engineering, 11(4):046006, 2014. [DOI] [bibtex-entry]

  7. S. Rueda, S. Fathima, C. Knight, M. Yaqub, A. T. Papageorghiou, B. Rahmatullah, A. Foi, M. Maggioni, A. Pepe, J. Tohka, R. V. Stebbing, J. E. McManigle, A. Ciurte, X. Bresson, M. B. Cuadra, C. Sun, G. V. Ponomarev, M. S. Gelfand, M. D. Kazanov, C.-W. Wang, H.-C. Chen, C.-W. Peng, C.-M. Hung, and J. A. Noble. Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge. IEEE Transactions on Medical Imaging, 33(4):797--813, April 2014. [DOI] [bibtex-entry]

  8. R. Su, C. Sun, C. Zhang, and T. D. Pham. A New Method for Linear Feature and Junction Enhancement in 2D Images based on Morphological Operation, Oriented Anisotropic Gaussian Function and Hessian Information. Pattern Recognition, 47(10):3193--3208, October 2014. [DOI] [bibtex-entry]

  9. R. Su, C. Sun, C. Zhang, and T. D. Pham. A Novel Method for Dendritic Spines Detection Based on Directional Morphological Filter and Shortest Path. Computerized Medical Imaging and Graphics, 38(8):793--802, December 2014. [DOI] [bibtex-entry]

  10. X. Tan, C. Sun, X. Sirault, R. Furbank, and T. D. Pham. Stereo Matching using Cost Volume Watershed and Region Merging. Signal Processing: Image Communication, 29(10):1232--1244, November 2014. [DOI] [bibtex-entry]

  11. H. Vindin, L. Bischof, P. Gunning, and J. Stehn. Validation of an Algorithm to Quantify Changes in Actin Cytoskeletal Organization for High-Throughput Analysis. Journal of Biomolecular Screening, 19(3):354--368, 2014. [DOI] [bibtex-entry]

  12. D. Wang, D. Bourke, L. Domanski, and P. Vallotton. Speeding up the Analysis of Neuron Morphology using Parallel Processing. Journal of Molecular Imaging & Dynamics, 4:115, 2014. [DOI] [bibtex-entry]

  13. A. Whan, A. Smith, C. Cavanagh, J.-P. Ral, L. Shaw, C. Howitt, and L. Bischof. GrainScan: a low cost, fast method for grain size and colour measurements. Plant Methods, 10(1):23, 2014. [DOI] [bibtex-entry]

  14. L. Zhu and D. Wang. Suppression of Ring artifacts in Synchrotron Radiation Images Using Heterogeneous Computing based on Improved Wavelet. Journal of Computational Information Systems, 10(2):523--530, 2014. [bibtex-entry]

  15. L. Zhu, D. Wang, and H. Wang. An improved method for the removal of ring artifacts in synchrotron radiation images by using GPGPU computing with compute unified device architecture. Concurrency and Computation: Practice and Experience, 26(18):2880--2892, December 2014. [DOI] [bibtex-entry]

2013
  1. L. Bennett, C. Kersaitis, S. L. Macaulay, G. Münch, G. Niedermayer, J. Nigro, M. Payne, P. Sheean, P. Vallotton, D. Zabaras, and M. Bird. Vitamin D2-Enriched Button Mushroom (Agaricus bisporus) Improves Memory in Both Wild Type and APPswe/PS1dE9 Transgenic Mice. PLOS ONE, 2013. [DOI] [bibtex-entry]

  2. J. G. Burchfield, J. Lu, D. J. Fazakerley, S. X. Tan, Y. Ng, K. Mele, M. J. Buckley, W. Han, W. E. Hughes, and D. E. James. Novel Systems for Dynamically Assessing Insulin Action in Live Cells Reveals Heterogeneity in the Insulin Response. Traffic, 14(3):259--273, March 2013. [DOI] [bibtex-entry]

  3. L. Domanski, T. Bednarz, T. Gureyev, L. Murray, B. E. Huang, Ya. I. Nesterets, D. Thompson, E. Jones, C. Cavanagh, D. Wang, P. Vallotton, C. Sun, A. Khassapov, A. Stevenson, S. Mayo, M. Morell, A. W. George, and J. A. Taylor. Applications of Heterogeneous Computing in Computational and Simulation Science. International Journal of Computational Science and Engineering, 8(3):240--252, 2013. [DOI] [bibtex-entry]

  4. E. S. Gloag, L. Turnbull, A. Huang, P. Vallotton, H. Wang, L. M. Nolan, L. Mililli, C. Hunt, J. Lua, S. R. Osvath, L. G. Monahan, R. Cavaliere, I. G. Charles, M. P. Wand, M. L. Geed, R. Prabhakar, and C. B. Whitchurch. Self-organization of bacterial biofilms is facilitated by extracellular DNA. PNAS, 110(28):11541--11546, 2013. [DOI] [bibtex-entry]

  5. Y. Guo, J. Wall, J. Li, and S. West. Intelligent Model Based Fault Detection and Diagnosis for HVAC System Using Statistical Machine Learning Methods. ASHRAE Transactions, 119:1--8, 2013. [DOI] [bibtex-entry]

  6. L. Jiang, S. Luo, and J. Li. Intelligent electrical appliance event recognition using multi-load decomposition. Advanced Materials Research, 805-806:1039--1045, September 2013. [DOI] [bibtex-entry]

  7. J. Li, Y. Guo, G. Platt, and J. K Ward. Renewable Energy Aggregation with Intelligent Battery Controller. Journal Renewable Energy, 4:220--228, November 2013. [DOI] [bibtex-entry]

  8. J. Li, G. Platt, and G. James. Demand Management of Distributed Energy Resources Based on GA Optimization. Journal of Dynamic Systems, Measurement and Control, 136:0210141--0210147, March 2013. [DOI] [bibtex-entry]

  9. J. Li, S. West, and G. Platt. Power Signature Based NonIntrusive Load Disaggregation. International Journal of Modelling, Identification and Control, 20:16--24, 2013. [DOI] [bibtex-entry]

  10. R. Li and P. K. Robertson. Towards Perceptual Control of Markov Random Field Textures. In G. Grinstein and H. Levkowitz, editors,Perceptual Issues in Visualization, chapter 10 . Springer Science Business Media, 2013. [bibtex-entry]

  11. X. Li, S. Luo, and J. Li. Liver Segmentation from CT Image Using Fuzzy Clustering and Level Set. Journal of Signal and Information Processing, 4:36--42, August 2013. [DOI] [bibtex-entry]

  12. S. Luo and J. Li. Nonrigid Object Modelling and Visualization for Hepatic Surgery Planning in e-Health. Advances in Multimedia Modeling, 7733:521--524, January 2013. [DOI] [bibtex-entry]

  13. C. Nickson, Y. Arzhaeva, Z. Aitken, T. Elgindy, M. Buckley, M. Li, D. R. English, and A. M. Kavanagh. AutoDensity: An automated method to measure mammographic breast density that predicts breast cancer risk and screening outcomes. Breast Cancer Research, 15:R80, 2013. [DOI] [bibtex-entry]

  14. P. Vallotton. Size matters: Filamentous bacteria drive interstitial vortex formation and colony expansion in Paenibacillus vortex. Cytometry A, 83(12):1105--1112, December 2013. [DOI] [bibtex-entry]

  15. P. Vallotton and S. Olivier. Tri-track: free software for large scale particle tracking. Microscopy and Microanalysis, 19(2):451--460, April 2013. [DOI] [bibtex-entry]

  16. J. Wall, J. Li, and G. Platt. An Application of a Soft Real-Time Genetic Algorithm for HVAC System Control. International Journal of Emerging Trends and Technology in Computer Science, 2:424--434, May-June 2013. [DOI] [bibtex-entry]

  17. C. Zhang, C. Sun, and T. D. Pham. Segmentation of Clustered Nuclei Based on Concave Curve Expansion. Journal of Microscopy, 251(1):57--67, July 2013. [DOI] [bibtex-entry]

  18. C. Zhang, C. Sun, P. Vallotton, M. Fenech, and T. D. Pham. Automatic Nuclear Bud Detection Using Ellipse Fitting, Moving Sticks, or Top-hat Transformation. Journal of Microscopy, 252(2):122--134, November 2013. [DOI] [bibtex-entry]

2012
  1. Y. Guo and J. Li. Maximal Margin Algorithms for Pose Estimation. Computational Intelligence and its Applications: Evolutionary Computation, Fuzzy Logic, Neural Network and Support Vector Machine Techniques, Book Chapter 1, 2012. [DOI] [bibtex-entry]

  2. L. Jiang, J. Li, S. Luo, S. West, and G. Platt. Power Load Event Detection and Classification Based on Edge Symbol Analysis and Support Vector Machine. Applied Computational Intelligence and Soft Computing, 2012:Article ID 742461, 2012. [DOI] [bibtex-entry]

  3. R. Lagerstrom and M. Buckley. An Attribute Weighted Distance Transform. Pattern Recognition Letters, 33(16):2141--2147, December 2012. [DOI] [bibtex-entry]

  4. C. Leung, B. Appleton, M. Buckley, and C. Sun. Embedded Voxel Colouring with Adaptive Threshold Selection using Globally Minimal Surfaces. International Journal of Computer Vision, 99(2):215--231, September 2012. [DOI] [bibtex-entry]

  5. J. Newman, E. E. Bolton, J. Müller-Dieckmann, V. J. Fazio, D. T. Gallagher, D. Lovell, J. R. Luft, T. S. Peat, D. Ratcliffe, R. A. Sayle, E. H. Snell, K. Taylor, P. Vallotton, S. Velanker, and F. von Delft. On the need for an international effort to capture, share and use crystallization screening data. Acta Crystallographica Section F: Structural Biology and Crystallization Communications, 68(3):253--258, March 2012. [bibtex-entry]

  6. R. Su, C. Sun, and T. D. Pham. Junction Detection for Linear Structures Based on Hessian, Correlation and Shape Information. Pattern Recognition, 45(10):3695--3706, October 2012. [DOI] [bibtex-entry]

  7. Y. Sun, C. J. Lambrides, V. N. Arief, I. H. DeLacy, P. T. Jackway, and I. D. Godwin. Factors Controlling Self-fertility in Sunflower: The Role of SCA Effects, S Alleles and Floret Characteristics. Crop Science, 52(1):128--135, 2012. [DOI] [bibtex-entry]

2011
  1. M. H. Abreu, R. Lyons, W. Hughes, K. Mele, P. Vallotton, and R. Daly. Gab2 regulates cytoskeletal organization and migration of mammary epithelial cells by modulating RhoA activation. Molecular Biology of the Cell, 22(1):105--116, January 2011. [bibtex-entry]

  2. J. Wall andY. Guo, J. Li, and S. West. A Dynamic Machine Learning-based Technique for Automated Fault Detection in HVAC Systems. ASHRAE Transactions, 117:1--8, 2011. [DOI] [bibtex-entry]

  3. L. Domanski, C. Sun, R. Lagerstrom, D. Wang, L. Bischof, M. Payne, and P. Vallotton. High Throughput Detection of Linear Features: Selected Applications in Biological Imaging. In G. Dougherty, editor, Medical Image Processing: Techniques and Applications, chapter 8, pages 167--191. Springer, 2011. [DOI] [bibtex-entry]

  4. Y. Guo and R. Li. A Multi-Agent Machine Learning Framework for Intelligent Energy Demand Management. In G. Trajkovski, editor,Developments in Intelligent Agent Technologies and Multi-Agent Systems: Concepts and Applications, chapter 13 , pages 198--212. IGI, 2011. [bibtex-entry]

  5. C. A. James, K. Haustein, T. Bednarz, L. Alem, C. Caris, and A. Castleden. Remote Operation of Mining Equipment Using Panoramic Display Systems: Exploring the Sense of Presence. The Ergonomics Open Journal, 4:93--102, 2011. [bibtex-entry]

  6. C. Lau, R. O'Shea, B. Broberg, L. Bischof, and P. Beart. The Rho kinase inhibitor Fasudil up-regulates astrocytic glutamate transport subsequent to actin remodelling in murine cultured astrocytes. British Journal of Pharmacology, 163(3):533-545, 2011. [bibtex-entry]

  7. F. Li, S. Brown, T. Cornwell, and F. De Hoog. The application of compressive sampling to radio astronomy II: Faraday rotation measure synthesis. Astronomy and Astrophysics, 531:A126, 2011. [DOI] [bibtex-entry]

  8. F. Li, T. Cornwell, and F. De Hoog. The Application of Compressive Sampling to Radio Astronomy I: Deconvolution. Astronomy and Astrophysics, 528:A31, 2011. [bibtex-entry]

  9. P. Vallotton, C. Sun, D. Lovell, M. Savelsbergh, M. Payne, and G. Muench. Identifying weak linear features with the 'Coalescing Shortest Path Image Transform'. Microscopy and Microanalysis, 17(6):911--914, December 2011. [DOI] [bibtex-entry]

2010
  1. J. G. Burchfield, J. A. Lopez, K. Mele, P. Vallotton, and W. E. Hughes. Exocytotic Vesicle Behaviour Assessed by Total Internal Reflection Fluorescence Microscopy. Traffic, 11(4x):429--439, April 2010. [DOI] [bibtex-entry]

  2. J. Li, S. Luo, and J. S. Jin. Sensor Data Fusion for Accurate Cloud Presence Prediction Using Dempster-Shafer Evidence Theory. Sensors, 10:9384--9396, October 2010. [DOI] [bibtex-entry]

  3. J. Li, G. Platt, G.Poulton, J. Wall, and G. James. Dynamic Zone Modelling for HVAC System Control. International Journal of Modelling and Identification and Control, 9:5--14 , 2010. [bibtex-entry]

  4. J. Li, G. Poulton, and Geoff James. Coordination of Distributed Energy Resource Agents. Journal of Applied Artificial Intelligence, 24:351--380, May 2010. [DOI] [bibtex-entry]

  5. G. Platt, J. Li, R. Li, G. Poulton, G. James, and J. Wall. Adaptive HVAC Zone Modeling for Sustainable Buildings. Journal of Energy and Buildings, 42:412--421, April 2010. [DOI] [bibtex-entry]

  6. G. Platt, J. Li, Li R., G. Poulton, G. James, and J. Wall. Adaptive HVAC Zone Modeling for Sustainable Buildings. Energy and Buildings, 42(4):412--421 , 2010. [bibtex-entry]

  7. I.-M. Sintorn, L. Bischof, P.T. Jackway, S. Haggarty, and M. Buckley. Gradient based intensity normalization. Journal of Microscopy, 240(3):249-258, December 2010. [bibtex-entry]

  8. P. Vallotton and L. Soon. Selected Applications of Graph-Based Tracking Methods for Cancer Research. In Tuan Pham, editor,Computational Biology: Issues and Applications in Oncology, chapter 8, pages 193--203. Springer, 2010. [bibtex-entry]

  9. P. Vallotton, C. Sun, D. Lovell, V. J. Fazio, and J. Newman. DroplIT, An Improved Image Analysis Method for Droplet Identification in High-Throughput Crystallization Trials. Journal of Applied Crystallography, 43(6):1548--1552, December 2010. [DOI] [bibtex-entry]

  10. D. Wang, R. Lagerstrom, C. Sun, L. Bischof, P. Vallotton, and M. Götte. HCA-Vision: Automated Neurite Outgrowth Analysis. Journal of Biomolecular Screening, 15(9):1165--1170, October 2010. [DOI] [bibtex-entry]

  11. M. H. F. Wilkinson, E. Urbach, A. C. Jalba, and J. B. T. M. Roerdink. Identification de diatomées. In L. Najman and H. Talbot, editors,Morphologie mathématique, volume 2, pages 183--192. Lavoisier, Paris, 2010. [bibtex-entry]

2009
  1. P.G. Allingham, W. Barris, A. Reverter, V. Hilsenstein, R. van de Ven, and D.L. Hopkins. Sire and growth-path effects on sheep meat production. 3. Fascicular structure of lamb loin muscle (m. longissimus lumborum) and the impact on eating quality. Animal Production Science, 49(3):239--247, 2009. [bibtex-entry]

  2. X. Bai, C. Sun, and F. Zhou. Splitting touching cells based on concave points and ellipse fitting. Pattern Recognition, 42(11):2434--2446, November 2009. [DOI] [bibtex-entry]

  3. M. Berman, A. Phatak, R. Lagerstrom, and B.R. Wood. ICE: A new method for the multivariate curve resolution of hyperspectral images. Journal of Chemometrics, 23(2):101--116, February 2009. [bibtex-entry]

  4. Y. Guo, A. Zeman, and R. Li. A Reinforcement Learning Approach to Setting. International Journal of Agent Technologies and Systems, 1(2):55--70 , 2009. [bibtex-entry]

  5. J. La Salle, Q. Wheeler, P.T. Jackway, S. Winterton, D. Hobern, and D. Lovell. Accelerating Taxonomic Discovery Through Automated Character Extraction. Zootaxa, 2217:43--55, 2009. [bibtex-entry]

  6. M. Li, J. Xu, J. Yang, D. Yang, and D. Wang. Multiple Manifolds Analysis and Its Application to Fault Diagnosis. Mechanical Systems and Signal Processing, 23(8):2500--2509, November 2009. [bibtex-entry]

  7. J. A. Lopez, J. G. Burchfield, D. H. Blair, K. Mele, Y. Ng, P. Vallotton, D. E. James, and W. E. Hughes. Identification of a Distal GLUT4 Trafficking Event Controlled by Actin Polymerisation. Molecular Biology of the Cell, 20(17):3918--3929, September 2009. [bibtex-entry]

  8. K. Mele, J. G. Burchfield, D. E. James, W. E. Hughes, and P. Vallotton. Towards fully automated Identification of Vesicle-Membrane Fusion Events in TIRF Microscopy. IJCAET Special Issue on Engineering and Computational Technologies in the Life Sciences, 1(4):502--515, 2009. [bibtex-entry]

  9. C. Sun, R. Beare, K. Cheong, B. J. Jung, and M. Kim. Stereoscopic Flatbed Scanner. Journal of Electronic Imaging, 18(1):013002, January-March 2009. [DOI] [bibtex-entry]

  10. C. Sun, P. Vallotton, D. Wang, J. Lopez, Y. Ng, and D. James. Membrane Boundary Extraction Using Circular Multiple Paths. Pattern Recognition, 42(4):523--530, April 2009. [DOI] [bibtex-entry]

  11. C. Sun and P. Vallotton. Fast Linear Feature Detection Using Multiple Directional Non-Maximum Suppression. Journal of Microscopy, 234(2):147--157, May 2009. [DOI] [bibtex-entry]

  12. P. Vallotton, A. Phatak, and M. Berman. Spectral Imaging and Unmixing. In Ewa Goldys, editor,Fluorescence Applications in Biotechnology and Life Sciences, pages 117--139. Wiley, 2009. [bibtex-entry]

  13. P. Vallotton and J. V. Small. Shifting views on the leading role of the lamellipodium in cell migration: Speckle tracking revisited. Journal of Cell Science, 122(12):1955--1958, June 2009. [bibtex-entry]

2008
  1. L. Hoang, R. Li, S. Ourselin, and J. M. Potter. A Visual Dataflow Language for Image Segmentation and Registration. In J. Filipe, B. Shishkov, M. Helfert, and L. A. Maciaszek, editors,Software and Data Technologies, chapter 9, pages 60--72. Berlin: Springer, 2008 . [bibtex-entry]

  2. L Hoang, Li R., and Ourselin S. andPotter J. M.. A Visual Dataflow Language for Image Segmentation and Registration. In J. Filipe, B. Shishkov, M. Helfert, and L. A. Maciaszek, editors,Software and Data Technologies, chapter 9, pages 60--72. Springer Berlin, 2008 . [bibtex-entry]

  3. R. Lagerstrom, C. Sun, and P. Vallotton. Boundary Extraction of Linear Features Using Dual Paths through Gradient Profiles. Pattern Recognition Letters, 29(12):1753--1757, September 2008. [DOI] [bibtex-entry]

  4. C. Leung, B. Appleton, and C. Sun. Iterated Dynamic Programming and Quadtree Subregioning for Fast Stereo Matching. Image and Vision Computing, 26(10):1371--1383, October 2008. [DOI] [bibtex-entry]

  5. P. Vallotton. Differential Aberration Correction (DAC) Microscopy: a New Molecular Ruler. Journal of Microscopy, 232(2):235--239, November 2008. [bibtex-entry]

  6. P. Vallotton and N. Thomas. Automated body hair counting and length measurement. Skin Research and Technology, 14(4):493--497, November 2008. [bibtex-entry]

  7. L. Zhang, J. Xu, J. Yang, D. Yang, and D. Wang. Multiscale morphology analysis and its application to fault diagnosis. Mechanical Systems and Signal Processing, 22(3):597--610, April 2008. [bibtex-entry]

2007
  1. M. Berman, P. M. Connor, L. B. Whitbourn, D. A. Coward, B. G. Osborne, and M. D. Southan. Classification of sound and stained wheat grains using visible and near infrared hyperspectral image analysis. Journal of Near Infrared Spectroscopy, 15(6):351--358, 2007. [bibtex-entry]

  2. M. Berman, D. A. Coward, L. W. Whitbourn, B. G. Osborne, C. J. Evans, P. M. Connor, R. J. Beare, R. N. Phillips, and R. Quodling. A profilometry method for the estimation of wheat grain thickness. Cereal Chemistry, 84:282-284, 2007. [bibtex-entry]

  3. R. Li and S. Ourselin. Toward Consistently Behaving Deformable Models for Improved Automation in Image Segmentation. In A. A. Farag and and J. S. Suri, editors,Deformable Models - Biomedical and Clinical Applications, chapter 9 , pages 259--292. Springer, 2007. [bibtex-entry]

  4. C. Sun, M. Berman, D. Coward, and B. Osborne. Thickness Measurement and Crease Detection of Wheat Grains Using Stereo Vision. Pattern Recognition Letters, 28(12):1501--1508, September 2007. [DOI] [bibtex-entry]

  5. A.C.J. Timmers, P. Vallotton, C. Heym, and D. Menzel. Microtubule Dynamics in Root Hairs of Medicago Truncatula. European Journal of Cell Biology, 86(2):69--83, February 2007. [bibtex-entry]

  6. P. Vallotton, R. Lagerstrom, C. Sun, M. Buckley, D. Wang, M. De Silva, S.-S. Tan, and J. Gunnersen. Automated Analysis of Neurite Branching in Cultured Cortical Neurons Using HCA-Vision. Cytometry, Part A, 71A(10):889--895, October 2007. [DOI] [bibtex-entry]

2006
  1. L. Chung, D. Clifford, M.J. Buckley, and R.C. Baxter. Novel Biomarkers of Human Growth Hormone Action from Serum Proteomic Profiling using Protein Chip Mass Spectrometry. The Journal of Clinical Endocrinology and Metabolism, 91(2):671--677, February 2006. [bibtex-entry]

  2. C. Sun. Moving Average Algorithms for Diamond, Hexagon and General Polygonal Shaped Window Operations. Pattern Recognition Letters, 27(6):556--566, April 2006. [DOI] [bibtex-entry]

  3. C. Sun, R. Beare, V. Hilsenstein, and P.T. Jackway. Mosaicing of Microscope Images with Global Geometric and Radiometric Corrections. Journal of Microscopy, 224(2):158--165, November 2006. [DOI] [bibtex-entry]

  4. C. Sun, R. Jones, H. Talbot, X. Wu, K. Cheong, R. Beare, M.J. Buckley, and M. Berman. Measuring the Distance of Vegetation from Powerlines Using Stereo Vision. ISPRS Journal of Photogrammetry and Remote Sensing, 60(4):269--283, June 2006. [DOI] [bibtex-entry]

2005
  1. H. Heijmans, M.J. Buckley, and H. Talbot. Path openings and closings. Journal of Mathematical Imaging and Vision, 22(2-3):107--119, May 2005. [bibtex-entry]

  2. S. Menzies, L. Bischof, H. Talbot, A. Gutenev, M. Avramidis, L. Wong, S. K. Lo, G. Mackellar, V. Skladnev, W. McCarthy, J. Kelly, B. Cranney, P. Lye, H. Rabinovitz, M. Oliviero, A. Blum, A. Virol, B. DeAmbrosis, R. McCleod, H. Koga, C. Grin, R. Braun, and R. Johr. The Performance of SolarScan: An Automated Dermoscopy Image Analysis Instrument for the Diagnosis of Primary Melanoma. Archives of Dermatology, 141(11):1388-1396, November 2005. [bibtex-entry]

  3. C. Sun and B. Appleton. Multiple Paths Extraction in Images using a Constrained Expanded Trellis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(12):1923--1933, December 2005. [DOI] [bibtex-entry]

  4. M. van Droogenbroeck and M.J. Buckley. Morphological erosions and openings: Fast algorithms based on anchors. Journal of Mathematical Imaging and Vision, 22(2-3):121--142, May 2005. [bibtex-entry]

2004
  1. M. Berman, H. Kiiveri, R. Lagerstrom, A. Ernst, R. Dunne, and J. Huntington. ICE: A statistical approach to identifying endmembers. IEEE Transactions on Geoscience and Remote Sensing, 42:2085-2095, 2004. [bibtex-entry]

  2. C. Sun and S. Peleg. Fast Panoramic Stereo Matching Using Cylindrical Maximum Surfaces. IEEE Transactions on Systems, Man, and Cybernetics, Part B, 34(1):760--765, February 2004. [DOI] [bibtex-entry]

2003
  1. B. Appleton and C. Sun. Circular Shortest Paths by Branch and Bound. Pattern Recognition, 36(11):2513--2520, November 2003. [DOI] [bibtex-entry]

  2. C. Sun. Uncalibrated Three-View Image Rectification. Image and Vision Computing, 21(3):259--269, March 2003. [DOI] [bibtex-entry]

  3. C. Sun and S. Pallottino. Circular Shortest Path in Images. Pattern Recognition, 36(3):711--721, March 2003. [DOI] [bibtex-entry]

  4. R.F. Walker, P.T. Jackway, and I.D. Longstaff. Genetic Algorithm Optimisation of Adaptive Multi-scale GLCM Features. International Journal of Pattern Recognition and Artificial Intelligence, 17(1):17--39, 2003. [bibtex-entry]

  5. D. L. Wilson, M.J Buckley, C. A. Helliwell, and I. W. Wilson. New Normalization Methods for cDNA Microarray Data. Bioinformatics, 19(11):1325--1332, July 2003. [bibtex-entry]

2002
  1. C. Evans, R. Jones, I. Svalbe, and M. Berman. Segmenting multispectral Landsat TM images into field units. IEEE Transactions on Geoscience and Remote Sensing, 40:1054-1064, 2002. [bibtex-entry]

  2. C. Sun. Fast Stereo Matching Using Rectangular Subregioning and 3D Maximum-Surface Techniques. International Journal of Computer Vision, 47(1/2/3):99--117, May 2002. [DOI] [bibtex-entry]

  3. C. Sun. Fast Optical Flow Using 3D Shortest Path Techniques. Image and Vision Computing, 20(13/14):981--991, December 2002. [DOI] [bibtex-entry]

  4. J. Yang, M.J Buckley, S. Dudoit, and T. Speed. Comparison of methods for image analysis on cDNA microarray data. Journal of Computational and Graphical Statistics, 11(1):108--136, 2002. [bibtex-entry]

2001
  1. M. Berman. Invited discussion on ``A penalized likelihood approach to image warping''. Journal of the Royal Statistical Society: Series B, 63(3):499, 2001. [bibtex-entry]

  2. P. Soille and H. Talbot. Directional Morphological Filtering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(11):1313--1329, 2001. [bibtex-entry]

  3. C. Sun and M.J. Buckley. Discussion on ``A penalized likelihood approach to image warping''. Journal of the Royal Statistical Society: Series B, 63(3):506--507, 2001. [bibtex-entry]

  4. C. Sun. Fast Algorithm for Local Statistics Calculation for N-Dimensional Images. Journal of Real-Time Imaging, 7(6):519--527, December 2001. [DOI] [bibtex-entry]

  5. C. Sun and X. Wu. Automatic Segmentation of Fiducial Marks Using Attribute-based Mathematical Morphology. Journal of Electronic Imaging, 10(2):560--566, April 2001. [DOI] [bibtex-entry]

  6. C. Sun. De-Interlacing of Video Images Using A Shortest Path Technique. IEEE Transactions on Consumer Electronics, 47(2):225--230, May 2001. [DOI] [bibtex-entry]

  7. Y.H. Yang, M.J Buckley, and T. Speed. Analysis of cDNA microarray images. Briefings in Bioinformatics, 2(4):341--349, 2001. [bibtex-entry]

2000
  1. M. Berman. Invited discussion on ``Practical maximum pseudolikelihood for spatial point patterns''. Australian and New Zealand Journal of Statistics, 42:318--320, 2000. [bibtex-entry]

  2. E.J. Breen, R. Jones, and H. Talbot. Mathematical morphology: a useful set of tools for image analysis. Statistics and Computing, 10:105-120, 2000. [bibtex-entry]

  3. C. Sun. 2-Point Linear Algorithm for Camera Translation Vector Estimation with Known Rotation. Robotica, 18(5):557--561, September 2000. [DOI] [bibtex-entry]

  4. H. Talbot, T. Lee, D. Jeulin, D. Hanton, and L. W. Hobbs. Image Analysis of Insulation Mineral Fibres. Journal of Microscopy, 200(3):251-268, December 2000. [bibtex-entry]

1999
  1. R. Beare and A. Bouzerdoum. Biologically inspired local motion detector architecture. Journal of the Optical Society of America, 16(9):2059-2068, 1999. [bibtex-entry]

  2. R. Jones. Connected Filtering and Segmentation using Component Trees. Computer Vision and Image Understanding, 75(3):215--228, September 1999. [bibtex-entry]

  3. C. Sun and D. Si. Fast Reflectional Symmetry Detection Using Orientation Histograms. Journal of Real-Time Imaging, 5(1):63--74, February 1999. [DOI] [bibtex-entry]

1998
  1. M. Berman and M.J. Buckley. Automated inspection, measurement and prediction using image analysis. The Quality Magazine, 7:69-72, 1998. [bibtex-entry]

  2. E.J. Breen. Morphological Segmentation on Non-image data: The Closing Function. In Henk J.A.M. Heijmans and Jos B.T.M. Roerdink, editors, Mathematical Morphology and its Applications to Image and Signal Processing, Computational imaging and vision, pages 223--230. Kluwer, 1998. [bibtex-entry]

  3. M. S. Brown, L. S. Wilson, B. D. Doust, R. W. Gill, and C. Sun. Knowledge-Based Method for Segmentation and Analysis of Lung Boundaries in Chest X-ray Images. Computerized Medical Imaging and Graphics, 22(6):463--477, November-December 1998. [DOI] [bibtex-entry]

  4. C. A. Glasbey, M. Berman, and H. M. Hudson. Image analysis and tomography. In P. Armitage and T. Colton, editors,Encyclopaedia of Biostatistics, pages 1980--1998. John Wiley and Sons, New York, 1998. [bibtex-entry]

1997
  1. E. Breen, R. Jones, and H. Talbot. The morphological approach to industrial image analysis applications. Acta Stereologica, 16(3):233--240, 1997. [bibtex-entry]

  2. M.J. Buckley and J Yang. Regularised shortest-path extraction. Pattern Recognition Letters, 18:621--629, 1997. [bibtex-entry]

  3. C. Glasbey and R. Jones. Fast computation of moving average and related filters in octagonal windows. Pattern Recognition Letters, 18(6):555-565, June 1997. [bibtex-entry]

  4. T.C.M. Lee and M. Berman. Nonparametric estimation and simulation of two-dimensional Gaussian image textures. Graphical Models and Image Processing, 59(6):434-445, 1997. [bibtex-entry]

  5. C. Sun and J. Sherrah. 3D Symmetry Detection Using Extended Gaussian Image. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(2):164--168, February 1997. [DOI] [bibtex-entry]

  6. C. Sun. Fast Recovery of Rotational Symmetry Parameters Using Gradient Orientation. Optical Engineering, 36(4):1073--1077, April 1997. [DOI] [bibtex-entry]

1996
  1. M. Berman, M.L. Bason, F. Ellison, G. Peden, and C.W. Wrigley. Image analysis of whole grains to screen for flour-milling yield in wheat breeding. Cereal Chemistry, 73:323-327, 1996. [bibtex-entry]

  2. E. J. Breen and R. Jones. Attribute Openings, Thinnings and Granulometries. Computer Vision and Image Understanding, 64(3):377-389, November 1996. [bibtex-entry]

  3. C. A. Glasbey and M. Berman. A review of image analysis in biometry. In P. Armitage and H.A. David, editors,Advances in Biometry, pages 385-403. John Wiley and Sons, New York, 1996. [bibtex-entry]

  4. R. Jones and P. Soille. Periodic Lines: Definition, cascades, and application to granulometries. Pattern Recognition Letters, 17:1057-1063, 1996. [bibtex-entry]

  5. P. Soille, E. Breen, and R. Jones. Recursive implementation of erosions and dilation along discrete lines at arbitrary angles. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(5):562-567, May 1996. [bibtex-entry]

  6. H. Talbot, D. Jeulin, and D. Hanton. Image analysis of insulation mineral fibres. Microscopy, microanalysis and microstructures, 7:361-368, October-December 1996. [bibtex-entry]

  7. M. van Droogenboeck and H. Talbot. Fast Computation of Morphological Operations with Arbitrary Structuring Elements. Pattern Recognition Letters, 17:1451-1460, 1996. [bibtex-entry]

1995
  1. R. Jones and I. D. Svalbe. Basis algorithms in mathematical morphology. Advances in Electronics and Electron Physics, 87:325-390, 1995. [bibtex-entry]

  2. A. Lipton and E.J. Breen. On the use of local statistical properties in focusing microscopy images. Microscopy Research and Technique, 31:326-333, 1995. [bibtex-entry]

  3. C. Sun. Symmetry Detection Using Gradient Information. Pattern Recognition Letters, 16(9):987--996, September 1995. [DOI] [bibtex-entry]

1994
  1. R. Adams and L. Bischof. Seeded region growing. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16:641-647, 1994. [bibtex-entry]

  2. M. Berman. Automated smoothing of image and other regularly spaced data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16:460-468, 1994. [bibtex-entry]

  3. M. Berman, L. Bischof, E.J. Breen, and G.M. Peden. Image Analysis. Materials Forum, 18:1-19, 1994. [bibtex-entry]

  4. M. Berman, L. Bischof, S.J. Davies, A.A. Green, and M. Craig. Estimating band-to-band misregistrations in aliased imagery. CVGIP: Graphical Models and Image Processing, 56(6):479-493, 1994. [bibtex-entry]

  5. E.J. Breen and D. Monro. An evaluation of priority queues for mathematical morphology. In J. Serra and P. Soille, editors,Mathematical morphology and its applications to image processing, pages 249--256. Kluwer Academic Publishers, 1994. [bibtex-entry]

  6. E.J. Breen. Regression methods for automated colour image classification and thresholding. J. Microsc., 174, 1994. [bibtex-entry]

  7. E.J. Breen and K.L. Williams. Optical flow analysis of the ventral cellular layer of the migrating Dictyostelium discoideum slug. Microbiology, 140:1241--1251, 1994. [bibtex-entry]

  8. J. Broerse, R. Li, and R. Ashton. Ambiguous pictorial depth cues and perceptions of nonrigid motion in the three-loop figure. Perception, 23(9):1049--1062, 1994 . [bibtex-entry]

  9. M.J. Buckley. Fast computation of a discretized thin-plate smoothing spline for image data. Biometrika, 81:247--258, 1994. [bibtex-entry]

  10. R. Jones and I. D. Svalbe. Algorithms for the decomposition of gray-scale morphological operations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(16):581-588, 1994. [bibtex-entry]

  11. R. Jones and I. D. Svalbe. Morphologic filtering as template matching. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16:438-443, 1994. [bibtex-entry]

1993
  1. M. Smyth and M.J. Buckley. Statistical analysis of the microlithotype sequences in the Bulli Seam, Australia, and relevence to permeability for coal gas. Int. J. Coal Geology, 22:167--187, 1993. [bibtex-entry]

1992
  1. M. Berman and T.R. Turner. Approximating point process likelihoods with GLIM. Applied Statistics, 41:31-38, 1992. [bibtex-entry]

1991
  1. M.J. Buckley. Detecting smooth signal : optimality of cusum based procedures. Biometrika, 78:253--62, 1991. [bibtex-entry]

  2. C. Sun, O. S. Sezgin, A. K. Forrest, and B. L. Davies. Use of vision in dispensing control and inspection of adhesives. Robotica, 9(4):371--377, October-December 1991. [bibtex-entry]

1990
  1. J.B. Lee, A.S. Woodyatt, and M. Berman. Enhancement of high spectral resolution remote sensing data by a noise-adjusted principal components transform. IEEE Transactions on Geoscience and Remote Sensing, 28:295-304, 1990. [bibtex-entry]

1989
  1. M. Berman. Large sample bias in least squares estimators of a circular arc center and its radius. Computer Vision, Graphics and Image Processing, 45:126-128, 1989. [bibtex-entry]

  2. M. Berman. The asymptotic statistical behaviour of some estimators for a circular structural model. Statistics and Probability Letters, 7:413-416, 1989. [bibtex-entry]

  3. M. Berman and P. Diggle. Estimating weighted integrals of the second-order intensity of a spatial point process. Journal of the Royal Statistical Society, Series B, 51:81-92, 1989. [bibtex-entry]

1988
  1. A.A. Green, M. Berman, P.Switzer, and M. D. Craig. A transformation for ordering multispectral data in terms of image quality with implications for noise removal. IEEE Transactions on Geoscience and Remote Sensing, 26:65-74, 1988. [bibtex-entry]


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