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High Resolution Sonar Image Segmentation by PSO Based Fuzzy Cluster Method

机译:基于PSO的模糊聚类法高分辨率声纳图像分割

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In this paper, we manage to use the clustering method realize sonar image segmentation. A particle swarm optimization (PSO) based FCM algorithm (PSO-FCM) is proposed which PSO incorporate with Fuzzy Clustering Method(FCM). The algorithm takes the clustering result of PSO as the initialization of the FCM, and uses fuzzy measures and fuzzy integrals to express the adapt function. At last, the algorithm is applied to the high resolution sonar image segmentation. Segmentation results of FCM and PSO-FCM for several sonar images are compared, which show that the PSO-FCM algorithm has better performance and fit for the sonar image segmentation better than the FCM does.
机译:在本文中,我们设法使用聚类方法实现声纳图像分割。提出了一种基于粒子群优化(PSO)的FCM算法(PSO-FCM),该算法结合了模糊聚类方法(FCM)。该算法将PSO的聚类结果作为FCM的初始化,并使用模糊测度和模糊积分表示自适应函数。最后将该算法应用于高分辨率声纳图像分割。比较了FCM和PSO-FCM对多个声纳图像的分割结果,表明PSO-FCM算法比FCM具有更好的性能,更适合于声纳图像分割。

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