Adaptive-fuzzy-K-means-

  在本文中，我们提出了一个 所谓自适应模糊-K-均值聚类新方法 （AFKM）聚类的图像分割这可能是 适用于一般的图像和/或特定的图象（即 医疗和显微图像），采用不同的拍摄的 消费类电子产品，即，例如，在 普通数码相机和CCD相机(In this paper, we present a new clustering algorithm called Adaptive Fuzzy-K-means (AFKM) clustering for image segmentation which could be applied on general images and/or specific images (i.e., medical and microscopic images), captured using different consumer electronic products namely, for example, the common digital cameras and CCD cameras)