一种基于一致性邻域超图模型的图象分割方法

耿伯英; 杨静宇

doi:10.11834/jig.20000404

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一种基于一致性邻域超图模型的图象分割方法
An Approach for Image Segmentation Based onthe Homogeneous Neighborhood Hypergraph
2000年5卷第4期页码：288
纸质出版：2000
DOI： 10.11834/jig.20000404
稿件说明：

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耿伯英, 杨静宇. 一种基于一致性邻域超图模型的图象分割方法[J]. 中国图象图形学报, 2000,5(4):288. DOI： 10.11834/jig.20000404.

An Approach for Image Segmentation Based onthe Homogeneous Neighborhood Hypergraph[J]. Journal of Image and Graphics, 2000, 5(4): 288. DOI： 10.11834/jig.20000404.

摘要

提出了一种将超图理论与图象的空-频域特征分析相结合的图象分割方法.该方法是基于图象的多分辨率小波分析及高斯-马尔可夫随机场理论

在抽取一组反映图象局部空间结构信息的特征矢量基础上

根据同一区域的象素具有相似的特征矢量的原则

将图象转换为一个关于特征相似性测度的邻域超图

再利用覆盖-选择算法对该超图进行分割的方法.实验证明

该方法具有较好的稳定性和适应性

尤其对于一些信噪比较低的图象

也具有良好的分割效果.

Abstract

In this paper

an approach for image segmentation incorporating the theory of hypergraph with the spatial-frequency features of image is proposed. Based on the multiresolution wavelet analysis and the theory of Gaussian-Markov random field

the features characterizing the local spatial structure of image are extracted

a neighborhood 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.