Multi-view fuzzy C-means clustering with kernel metric and local information for color image segmentation
Xiumei Cai,
Xi Yang,
Chengmao Wu
Abstract:PurposeMulti-view fuzzy clustering algorithms are not widely used in image segmentation, and many of these algorithms are lacking in robustness. The purpose of this paper is to investigate a new algorithm that can segment the image better and retain as much detailed information about the image as possible when segmenting noisy images.Design/methodology/approachThe authors present a novel multi-view fuzzy c-means (FCM) clustering algorithm that includes an automatic view-weight learning mechanism. Firstly, this… Show more
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