Entropy Thresholding and Its Parallel Algorithm on the Reconfigurable Array of Processors with Wider Bus Networks

Thresholding is the most commonly used technique in image segmentation. In this paper, we first propose an efficient sequential algorithm to improve the relative entropy-based thresholding technique. This algorithm combines the concepts of the relative entropy with that of the local entropy and also includes the quadtree hierarchical structure in it. Second, we derive a constant time parallel algorithm to solve this problem on the reconfigurable array of processors with wider bus networks (RAPWBN)