Image analysis software allows computers to do many tasks normally carried out by eye. We specialise in fast, automated and quantitative analysis of complex images and spectrums.
Extracting high quality data from images
Images and videos are becoming ubiquitous due to the advances in digital imaging devices. However, mining information from large volume and complex images or videos are challenging. With rapid advances in imaging technology, new imaging modalities, from high resolution stereo cameras, hyperspectral to synchrotron, produce multi-dimensional images and videos that cannot even be loaded on standard machines.
The ability to extract high quality information from such images coming from high throughput imaging systems through to multi-camera systems, and turn the information into insights for decision making is critical for many application domains such as digital health, smart cities, precision agriculture and consumer technology space. Addressing these scientific challenges and developing real world applications in these domains will thus have important social impacts and economic benefits.
The Quantitative Imaging Team strives to maximise human understanding of image data. We are tasked with developing advanced image analysis algorithms and software solutions to maximise the quantity and quality of information that can be extracted from the images and videos, automatically and objectively while boosting throughput, reliability and reproducibility.
Automating image analysis
We specialise in fast, automated and quantitative analysis of complex images by developing tools to maximise the quantity and quality of information that can be extracted from these images.
Like the human eye, our image analysis software can not only recognise and discriminate between objects but is also able to make detailed, accurate measurements. We can create stunning 3D models by fusing multiple views of objects and scenes. We can apply these techniques in plant and insect phenotyping as well as biological imaging.
We are also able to analyse time-lapse imaging sequences to characterise and understand processes including cell migration and tissue development. Some applications include:
- high throughput image characterisation
- image based phenomics for plants and animals
- hyperspectral image analysis
- cellular image quantification
- digitising our natural and cultural heritage collections
- 3D segmentation and analysis of microstructures and vasculatures
- product quality inspection
- Mixed Reality for training, education and medical diagnosis
We also strive to maximise human understanding of data by creating immersive environments for interactive data visualisation. We match the algorithmic, graphics and imaging power of computers with the needs of users, from novice to expert. More information can be found at: Immersive Environments Lab.
You can view our capabilities, R&D areas, software and projects in this website using the menu provided above.
Looking for PhD Students
Our research team is looking for outstanding candidates to carry out research in Image Analysis, Computer Vision, Augmented Reality & Virtual Reality. Please send me your CV and your research idea/short proposal if interested.
For any additional Information regarding Quantitative Imaging, please contact:
Research Team Leader, Quantitative Imaging
PO Box 76, Epping, NSW 1710, AUSTRALIA