FCM Image Segmentation and Its Performance Verification Based on AFSA Optimization
In order to further provide image segmentation capability,an adaptive artificial fish swarm algorithm(AFSA)is designed and applied to image segmentation by FCM algorithm.Compared with FCM algorithm,the proposed algorithm has fewer iterations and the operation time is reduced by 50%～55%on average.The image segmentation accuracy of this algorithm is about 7%higher than FCM algorithm and about 10%higher than FCM algorithm.The proposed AFSA algorithm achieves the purpose of FCM image segmentation,and can complete the image segmentation work in a shorter time under the premise of improving the segmentation quality,especially for more complicated images,which can fully demonstrate its advantages.
image segmentationfuzzy C-meansadaptive artificial fish swarm algorithmaccuracy
万方数据
维普
