Adaptive Double Suppressed Fuzzy C-means Clustering Image Segmentation Algorithm Based on Regional Information Entropy and Fuzzy Partition

2021 3rd International Conference on Natural Language Processing (ICNLP)(2021)

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摘要
Aiming at the pixel misclassification and poor convergence performance of the suppressed fuzzy C-means clustering algorithm in image segmentation, an adaptive double suppressed fuzzy C-means clustering image segmentation algorithm based on regional information entropy and fuzzy partition is proposed. Firstly, the regional information entropy of each region is calculated by dividing and judging the...
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关键词
suppressed fuzzy C-means clustering,suppression factor,regional information entropy,fuzzy partition
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