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Multiple Distribution Driven Active Contour for Natural Image Segmentation
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417k
资源说明：Abstract—In this paper, an active contour model is proposed
for image segmentation based on multiple distribution on each
region with adaptive weight between them. The distribution are
drawn from different filtering results of original gray image in
the region, referred as projections under different filters. The
energy associated to a region is described as the weighted sum
of the entropy of all projection distributions on it. The weight
coefficient for each d
for image segmentation based on multiple distribution on each
region with adaptive weight between them. The distribution are
drawn from different filtering results of original gray image in
the region, referred as projections under different filters. The
energy associated to a region is described as the weighted sum
of the entropy of all projection distributions on it. The weight
coefficient for each d
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