Abstract
A watershed segmentation algorithm based on fuzzy C-means clustering () was proposed in this paper , which can solve the problem of over-segmentation in sonar image processing. Firstly, the original image was transformed to be gray image and then segmented by watershed algorithm. Secondly, the improved particle swarm optimization () was used to find the accurate original clustering centers of . Finally, with the accurate centers and the improved target function, the small regions of the initial segmented image was clustered by . The iterating number was controlled to increase segmenting speed. Additionally, the high sonar image segmentation efficiency is testified in the experiment and the problem of over-segmentation is restricted.
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