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In order to solve the problems of the fuzzy C-means (FCM) clustering algorithm when it is applied to the image segmentation such as making itself easily traps into local optimum and huge calculation, an image segmentation algorithm based on the modified particle swarm optimization(MPSO) and FCM clustering algorithm is proposed. The simulation results and the comparison between the proposed algorithm...
To solve the problem of poor anti-noise performance of the traditional fuzzy C-means (FCM) algorithm in image segmentation, a novel two-dimensional FCM clustering algorithm for image segmentation was proposed. In this method, the image segmentation was converted into an optimization problem. The fitness function containing neighbor information was set up based on the gray information and the neighbor...
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