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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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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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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 works better
than Otsu s methold which outp
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Magnetic resonance (MR) images can be used to detect lesions in the brains of multiple sclerosis (MS)
patients and is essential for diagnosing the disease and monitoring its progression. An automatic method is
presented for segmentation of MS les
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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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