Segmentation is the process of automatically identifying objects of interest in digital images, a key and often limiting step in computer vision.
In biological imaging, the segmentation task is complicated by the great variability in appearance that functionally identical objects may take as a result of e.g. their flexibility and plasticity or their orientation in space. The task is further complicated when objects are in close proximity to other objects, and by the conspicuous presence of image noise.
We have great experience in applying tools such as mathematical morphology, level sets, attribute morphology, graph morphology, and colour morphology to the segmentation problem.
|Image Capture||Object Segmentation|