Bounded gray-level morphology and its applications to image representation

Morphological skeletonization and decomposition are two well-known schemes for binary image representation, but they are not compact for gray-level images. In this correspondence, bounded graylevel morphology is used to improve their performances for gray-level image representation. Experimental results show that hounded gray-level morphology efficiently reduces the number of skeleton points and the entropy of morphological decomposition.