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- W2376454761 abstract "Aiming at the problem of the conventional FCM algorithm is noise sensitive because of not taking into account the spatial informations.An image segmentation method via fuzzy c-means clustering algorithm with spatial information is presented.The method combines the standard fuzzy c-means clustering algorithm with two-dimensional histogram of the image,and modifies the membership function of the FCM for taking into account the spatial information of image data.Fuzzy membership matrix and clustering center is determined according to the principle of minimum square error sum.Finally,the optimal threshold is obtained by the principle of maximum membership,and the image pixels can be categorized into different regions.The experimental results show that the proposed method can segment the image effectively and properly,and the new algorithm is shown to be effective and more sensitive to noise." @default.
- W2376454761 created "2016-06-24" @default.
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- W2376454761 date "2009-01-01" @default.
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- W2376454761 title "A new algorithm for image segmentation based on the combination of fuzzy C-means clustering and spatial information" @default.
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