medical-super
于 2015-02-06 发布
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This work introduces two variants of unsupervised color segmentation methods. The underlying idea is to segment the input image several times, each time focussing on a different salient part of the image and to subsequently merge all obtained results into one composite segmentation. As a first step salient parts have to be identified in the image, which is done by a simple local color clustering approach.
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