A Fuzzy Segmentation Approach for Images Application

Segmentation is a fundamental step in image description or classification. In recent years, several computational models have been used to implement segmentation methods but without establishing a single analytic solution. In this paper, the problem of textured images segmentation upon an unsupervised scheme is addressed. Until recently, there has been few interest in segmenting images involving possible complex random texture patterns. To overcome these adversities, we proposed a cascade clustering method combining a statistical features and fuzzy cmeans (FCM) clustering algorithm. For textured image segmentation, the performance of the proposed approach is compared to the standard FCM.