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)
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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