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An Improved Segmentation Algorithm for Medical Image

Hao Zhang, Jiongzhao Yang, Jiangyan Zheng, Guohuan Lou, Yanfei Han

Abstract


In this paper, the current widely used image segmentation methods have been summarized, of which the characteristics and the scope of application have been analyzed, and a new algorithm of image segmentation, namely the algorithm of fuzzy connectivity on the basis of regional competition, has been proposed. In the beginning, the initial image segmentation is done with the method of regional growing in the confidence interval. Then the segmentation of the overlapping part of the initial segmentation results is done with the improved algorithm of fuzzy connectivity so that the pixel area of the overlapping part is defined in order to obtain the final segmentation results of the lesion area. This method gathers the advantages of the regional growing method, the fuzzy connectivity algorithm and the regional competition algorithm so that the computing time is greatly reduced. Besides, got through the difficulty of seed selection, this method is verified to be practical through experiments.

Keywords


medical image, image segmentation, regional competition.

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