A cooperative network for contour grouping

A new iterative algorithm for edge intensity image enhancement is proposed. It uses local cooperation-inhibition processes to produce an edge image in which the most relevant contours have reached maximal activation, and small gaps and junctions have been filled in. Implementation on a massively parallel machine has provided high speed performances, and results of experimentations with real scene images are presented. The algorithm is robust in complex edge image context, and is perfectly stable under any number of iterations