Optimal-selection-based suppressed fuzzy c-means clustering algorithm with self-tuning non local spatial information for image segmentation
作者：
Highlights：
• We propose a modified suppressed FCM with spatial information.
• The membership function is modified by an optimal-selection-based suppressed method.
• The self-tuning non local spatial information is used.
• A gray level histogram is constructed by using the proposed spatial information.
• The experiments on noisy images demonstrate the superiority of the proposed method.
摘要
•We propose a modified suppressed FCM with spatial information.•The membership function is modified by an optimal-selection-based suppressed method.•The self-tuning non local spatial information is used.•A gray level histogram is constructed by using the proposed spatial information.•The experiments on noisy images demonstrate the superiority of the proposed method.
论文关键词：Image segmentation,Fuzzy clustering,Suppressed fuzzy c-means algorithm,Non local spatial information,Self-tuning strategy
论文评审过程：Available online 10 January 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.01.003
