Automatic recognition of tissues and their structures

Tissue analysis needs a stage of segmentation which consists in separating the various tissular structures. In the following example, a segmentation is applied to small intestine section. The original image is separated in 3 classes. The white class represents the area of low cellular density, the area in dark gray corresponds to the villosities and area in light gray corresponds to the connective tissue.