Research on Clustering Methods for Color Image Segmentation


  • Qingzhen Gong



Color image segmentation, Fuzzy clustering, Fuzzy C-Means, K-Means.


The research of image segmentation mainly includes: how to select the appropriate color space, reduce the complexity of segmentation algorithm, improve the noise resistance and universality of segmentation algorithm, etc. Fuzzy clustering is an unsupervised classification method, which can classify samples with similar properties without prior knowledge. This paper briefly describes the working principle and performance comparison of these algorithms.


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13 November 2022

How to Cite

Gong, Q. (2022). Research on Clustering Methods for Color Image Segmentation. Academic Journal of Science and Technology, 3(3), 70–72.