文件名称:fuzzy
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Fuzzy c-means clustering (FCM) with spatial constraints (FCM_S) is an
effective algorithm suitable for image segmentation. Its effectiveness contributes not
only to introduction of fuzziness for belongingness of each pixel but also to
exploitation of spatial contextual information. Although the contextual information
can raise its insensitivity to noise to some extent, FCM_S (1) still lacks enough
robustness to noise and outliers and (2) is not suitable for revealing non-Euclidean
structure of the input data due to the use of Euclidean distance (L2 norm).
effective algorithm suitable for image segmentation. Its effectiveness contributes not
only to introduction of fuzziness for belongingness of each pixel but also to
exploitation of spatial contextual information. Although the contextual information
can raise its insensitivity to noise to some extent, FCM_S (1) still lacks enough
robustness to noise and outliers and (2) is not suitable for revealing non-Euclidean
structure of the input data due to the use of Euclidean distance (L2 norm).
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下载文件列表
fuzzy\FLAIRimage.jpg
.....\Fuzzy2images.m
.....\GADOimage.jpg
.....\license.txt
fuzzy