Image Segmentation Using Artificial Bee Colony and Fast Fuzzy C-Means Algorithms
Fuzzy c-means (FCM) has found a variety of applications in image segmentation. Unfortunately, traditional FCM algorithms tend to be relatively high cost. In this letter, we present a novel image segmentation approach based on Fast Fuzzy c-means (FFCM) and artificial bee colony algorithm (ABC). The proposed approach yields superior subjectivity and objective evaluation with traditional fast FCM algorithm (T-FFCM), fast FCM based on genetic algorithm (GA-FFCM), and fast FCM based on particle swarm optimization (PSO-FFCM) as verified by experimental results.
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Document Type: Research Article
Publication date: March 1, 2012
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