Similarity-based and perception-based image segmentation

In this paper, we present a segmentation method that provides perceptually relevant partitions without any a priori knowledge of the image content: first a local homogeneity analysis detects the image areas that have to be segmented. Then segmentation using a similarity criterion is locally performed. At last, segmented regions are grouped using Gestalt criteria. The whole method is presented in a hierarchical framework.