基于改进演化策略的图像FCM聚类分割方法

提出图像分割算法在充分利用演化策略全局搜索能力的基础上，根据图像的灰度分布，按照模糊聚类的分割策略实现图像的分割。为了保证搜索到更优解，提出了一种新的演化策略改进方法，以提高其全局寻优能力，并将其应用到分割算法。实验结果表明，算法的分割效果很好。

Approach of FCM clustering image segmentation based on improved evolution strategies

An approach based on evolution strategies is proposed for image segmentation. Taking full advantage of the global searching capability of evolution strategies, based on gray distribution of image and segmentation strategy of fuzzy clustering, the algorithm proposed implements the procedure of segmentation. To make sure that the algorithm can reach the global optimized resolution, a novel method is proposed to improve the globally researching capability of canonical evolution strategy. The experiments indicate that the algorithm proposed can get very good effect of segmentation.