关键词: 图像分割, 蚁群算法, FCM聚类

Abstract: With the fuzzy Cmeans clustering (FCM) algorithm it is difficult to determine the number of clusters in the research of medical image segmentation, which is easy to get into a local optimum. To overcome these shortcomings，a fuzzy Cmeans clustering algorithm is presented for image segmentation based on the ant colony algorithm. First, the overall robustness advantages of the ant colony algorithm are used to get the cluster center and the number of the clusters of the image. Then the results are obtained as the initial cluster centers and the number of clusters of fuzzy Cmeans clustering algorithm. This algorithm overcomes the shortcomings of traditional ones and gets better results. Analysis of the examples is given to prove the effectiveness and practicality of this algorithm.

Key words: ant colony algorithm, FCM clustering , image segmentation