The segmentation of objects in images by computational approaches is very challenging, and it can be tackled using, for example, thresholding, deformable models built on statistical, geometrical or physical principles, registration, and/or machine learning-based approaches. Examples of current applications of object segmentation include the identification of regions and structures of Engineering and the delineation of lesions and tissues in Biomedicine.

In this lecture, techniques we have developed to segment images acquired using different imaging modalities will be described, and their use in engineering and medicine applications will be discussed.