Peng Taile
School of Film and TV Arts and Technology,Shanghai University, 200072, Shanghai, China
Zhang Wenjun
School of Film and TV Arts and Technology,Shanghai University, 200072, Shanghai, China
ABSTRACT
In view of medical image segmentation greatly influenced by noise and low segmentation accuracy, a image segmentation algorithm based on genetic clustering is put forward. Firstly, according to sliding window we divide image into several sub-domains and using genetic algorithm searches the optimal population in each sub-domain. The following thing is the most optimal population is treated as clustering initial value of fuzzy c-means clustering algorithm for image segmentation. Finally, we obtain a number of better result of image segmented. Experimental results show that the algorithm has significant improvement to image segmentation relative to Otsu algorithm.
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How to cite this article
Peng Taile and Zhang Wenjun, 2013. Medical Image Segmentation Based on Genetic Clustering Algorithm. Information Technology Journal, 12: 7489-7494.
DOI: 10.3923/itj.2013.7489.7494
URL: https://scialert.net/abstract/?doi=itj.2013.7489.7494
DOI: 10.3923/itj.2013.7489.7494
URL: https://scialert.net/abstract/?doi=itj.2013.7489.7494
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