Optimal-selection-based suppressed fuzzy c-means clustering algorithm with self-tuning non local spatial information for image segmentation
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.
non local spatial information image segmentation fuzzy clustering suppressed fuzzy c-means algorithm self-tuning strategy