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- W4385992742 abstract "Fuzzy C-means (FCM) clustering algorithm is widely used in automatic image segmentation, but the standard FCM algorithm has the problems of large computation and slow computation speed. This paper improves the FCM algorithm, A fast FCM image segmentation algorithm (FFCM) is proposed. The algorithm maps the image from the pixel space to its gray histogram feature space. On this basis, the membership function is improved by making full use of the neighborhood characteristics of pixels. Experimental results show that the algorithm can segment the image quickly and effectively and has good anti-noise capability." @default.
- W4385992742 created "2023-08-19" @default.
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- W4385992742 date "2022-03-01" @default.
- W4385992742 modified "2023-10-14" @default.
- W4385992742 title "Fast Fuzzy C-means Clustering Method for Image Segmentation" @default.
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- W4385992742 doi "https://doi.org/10.1109/icitbs55627.2022.00033" @default.
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