Noise-robust binary segmentation based on ant colony system and modified fuzzy C-means algorithm
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
The relative potential field as a novel physics-inspired method for image analysis
WSEAS Transactions on Computers
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An image segmentation approach based on modified fuzzy c-mean clustering algorithm is developed. This method deals with the global and local image information at a gross scene level, which incorporates the local information including edge map and spatial relation-ship of the pixels into the parameters of its objective function. But the current clustering based segmentation methods usually incorporate the local information into the feature space, or integrate the global and local information at local level. In addition, we also pro-pose a fuzzy Gaussian basis function neural network to complete fuzzy clustering on grey histogram of image as the initial solution, which can automatically deter-mine the number of clusters, and has stong robust.