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Image thresholding has played an important role in image segmentation. In this paper, we present a novel spatially weighted fuzzy c-means (SWFCM) clustering algorithm for image thresholding. The algorithm is formulated by incorporating the spatial ne
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Fuzzy c-means thresholding
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模糊分割，基于混沌粒子群以及二维直方图的斜分阈值分割-Fuzzy partition, based on chaotic particle swarm and the oblique two-dimensional histogram thresholding
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Fuzzy c-means thresholding用于图像分割，有示例图，可以运行-FCMTHRESH Thresholding by 3-class fuzzy c-means clustering
[bw,level]=fcmthresh(IM,sw) outputs the binary image bw and threshold level of image IM using a 3-class fuzzy c-means clustering. It often wo
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利用严格等价函数构建模糊相似度进行图像分割，效果很好-Use strict equivalent functions to build fuzzy similarity for image segmentation, good effect
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