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Through semantically grouping pixels in local neighborhoods, superpixels can capture image redundancy and significantly improve the performance of post-processing algorithms. In this paper, we investigate the application of superpixels in FCM framework, and propose a modified FCM algorithm SPFCM which utilizes superpixels as clustering objects instead of pixels. Superpixel and its neighborhood increase...
Conventional fuzzy C-means (FCM) algorithm does not consider spatial information in the clustering, which makes it sensitive to noise and inefficient. In order to overcome these problems, we propose a fast anti-noise FCM algorithm for image segmentation, which constructs a new spatial function by combining pixel gray value similarity and membership. This spatial function is used to update the membership...
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