【摘要】 针对目前还没有较好的方法确定模糊C均值FCM聚类中C值和各个初始聚类中心这一问题,提出一种先用进化聚类快速确定初始聚类中心和聚类个数C,后用模糊C均值FCM聚类的算法,算法时间复杂度和空间复杂度与C均值FCM基本相当。应用该算法在人物图像和遥感图像中进行了分割实验验证,算法在分割的准确性和模糊边界的分隔上取得令人满意的效果。更多还原

【Abstract】 For there is no better way to make certain the initial each center of clusters and the value of C in fuzzy C-means method in the issue of image color clustering segmentation,a new method is introduced.Firstly,pixels of the image are segmented quickly based on the value of RGB by evolving clustering.At the same time the value of C is confirmed.Secondly the center of clustering that has been segmented is optimized by Fuzzy C-Means(FCM).Finally,the image is segmented by FCM.The time complexity factor and space complexity factor of this method and the FCM are much the same.The FCM method is equivalent to this method which is proved by experiment.The method is applied to segment the remote sensing images and characters image.The results of the expriment indicate that this method is good at segmentation-accuracy and vague boundary region segmentation.更多还原