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Image segmentation algorithm based on improved fuzzy clustering
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DOI：10.1007/s10586-018-2128-9.png)
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Fuzzy clustering algorithm is the main method of image segmentation, but it can't be widely used in various fields. Therefore, an image segmentation algorithm based on improved fuzzy clustering was proposed in this paper. The fuzzy clustering theory and analysis method were described in detail, and the research of image segmentation algorithm was discussed in this paper. And then the method of sub graph decomposition and region merging was used to improve the clustering method of fuzzy C mean clustering image segmentation algorithm and the algorithm was verified by an example. The results showed that the algorithm was feasible. Compared with other existing algorithms, the algorithm had more advantages in running time and image segmentation accuracy.
Keyword:
Fuzzy clustering
Image segmentation algorithm
Improvement
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4.1
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