Algorithm of C-V model combined with image entropy
WU Xiao-ming · Journal of Computer Applications · 2009
C-V model,as a classical one in the level set segmentation methods,also has a weak self-adaptive capability. The medical segmentation objects have diversified complex topologic structures and changes. According to the adaptive requirements of medical segmentation algorithm,the article introduced image information entropy algorithm based on the research on C-V model algorithm of the level set picture segmentation methods,solved the iterated parameters setting issue in the curve evolvement,and enhanced the adaptive capability of C-V model segmentation algorithm. The experiments show the algorithm,C-V model combined with image entropy,could have good adaptability to different objects.