A Statistical Approach to Snakes for Bimodal and Trimodal Imagery
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In this paper, we describe a new region-based approach to active contours for segmenting images com- posed of two or three types of regions characterizable by a given statistic. The essential idea is to derive curve evolutions which separate two or more values of a pre- determined set of statistics computed over geometrically determined subsets of the image. Both global and local image information is used to evolve the active contour. Image derivatives, however, are avoided, thereby giving rise to a further degree of noise robust- ness compared to most edge-based snake algorithms.