基于改进模糊C均值聚类的图像分割算法

Image Segmentation Based on Improved Fuzzy C-Means Algorithm

  • 摘要: 提出了一种基于模糊C均值算法和粒子群算法的混合算法.该算法利用PSO算法全局性和鲁棒性的特点,将PSO优化聚类结果作为后续FCM算法的初始值,有效地克服了FCM对初始值敏感,易陷入局部最优和PSO算法局部搜索较弱的问题.算法中使用基于统计直方图的快速FCM算法进行初始化,收敛速度大大提高.实验结果表明该算法具有较高的分割速度及其对噪声的较强的鲁棒性.

     

    Abstract: A new hybrid clustering algorithm based on particle swarm optimization and FCM algorithm is proposed.By incorporating the robust and global search and taking the clustering result of PSO as the initialized value of the FCM,the algorithm eliminates FCM trapped local optimum and being sensitive to initial value effectively,and solves weaker local search of PSO.The algorithm is initialized by a statistical histogram based FCM algorithm,which can speed up the convergence of the algorithm.Experimental results sh...

     

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