An active contour algorithm for continuous-time cellular neural networks

A CNN-based algorithm for image segmentation by active contours is proposed here. The algorithm is based on an iterative process of expansion of the c ontour and its subsequent thinning guided by external and internal energy. The proposed strategy allows for a high level of control over contour evolu tion making their topologic transformations easier. Therefore processing of multiple contours for segmenting several objects can be carried out simult aneously.