Computer Science ›› 2016, Vol. 43 ›› Issue (10): 297-303.doi: 10.11896/j.issn.1002-137X.2016.10.056

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Fast Fuzzy Local Information C-means Clustering Segmentation Algorithm

HOU Xiao-fan and WU Cheng-mao   

  • Online:2018-12-01 Published:2018-12-01

Abstract: A fast fuzzy local information C-means clustering segmentation algorithm was proposed because the fuzzy local information C-means clustering algorithm is time-consuming.In this algorithm,co-occurrence matrix is introduced which is constituted by the target pixel and its neighboring pixels,the new cluster membership and the cluster center expressions are obtained.To improve the noise immunity of the algorithm,neighborhood pixels membership is used for filter processing in pixel classification.The experimental results demonstrate that the proposed algorithm meets the needs of the effectiveness of image segmentation.Compared with fuzzy local information C-means clustering algorithm,the proposed algorithm has advantages of better segmentation performance and real time.

Key words: Image segmentation,Fuzzy C-means clustering,Histogram,Co-occurrence matrix

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