Variational Properties of a Model for Image Segmentation with Overlapping Regions
Giovanni Bellettini, Riccardo March · Birkhäuser Basel eBooks · 2002
We introduce a functional for image segmentation which takes into account the occlusions between objects in the image which are located at different depths in space. By minimizing the functional, we try to reconstruct both a piecewise smooth approximation of the input image g and the contours of the objects together with their hidden portions. Some variational properties of the involved functionals are then studied. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.