Title :
Bounded gray-level morphology and its applications to image representation
Author :
Wang, Demin ; Ronsin, Joseph
fDate :
6/1/1996 12:00:00 AM
Abstract :
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 gray-level morphology is used to improve their performances for gray-level image representation. Experimental results show that bounded gray-level morphology efficiently reduces the number of skeleton points and the entropy of morphological decomposition
Keywords :
entropy; image representation; mathematical morphology; binary image representation; bounded gray-level morphology; entropy; morphological decomposition; morphological skeletonization; performance; skeleton points; Entropy; Image coding; Image representation; Lattices; Morphological operations; Shape; Skeleton; Surface morphology; Surface treatment;
Journal_Title :
Image Processing, IEEE Transactions on
