An Approach for Image Segmentation Based on the Homogeneous Neighborhood Hypergraph
一种基于一致性邻域超图模型的图象分割方法

In this paper, an approach for image segmentation incorporating the theory of hypergraph with the spa- tial-frequency features of image is proposed. Based on the multiresolution wavelet analysis and the theory of Gaus- sian-Markov random field, the features characterizing the local spatial structure of image are extracted, a neigh- borhood hypergraph with respect to the similarities of the features is constructed, segmentation is implemented via the adapted Covering-Selection algorithm.The adaptability and reliability have been tested through simulations. The approach is effective for segmentation of images with low SNR.