红外与毫米波学报2011，Vol.30Issue(1)：91-96,6.
基于小波域TS-MRF模型的监督图像分割方法
Supervised image segmentation method based on tree-structured Markov random field in wavelet domain
摘要
Abstract
The tree-structured Markov Random Field (TS-MRF) model defined on a single spatial resolution, which is capable of expressing the hierarchical structure implied in the image to be segmented, fails to describe its non-stationary property. In order to solve this problem, a new image modeling method in Wavelet domain-WTS-MRF was proposed. In this model, a sequence of MRFs were hierarchically defined in the format of the classification tree structure. Each node was associated with a set of MRFs defined on different resolutions, wherein the correlation between neighbor MRFs with different resolutions was considered in the form of conditional probability. The child MRF was nested in the region of the parent one on the same resolution. Based on the WTS-MRF model, a supervised recursive segmentation algorithm was proposed. The classification hierarchical tree was manually set as the priori information, and the corresponding statistics for each leaf node were obtained by the training data on each resolution. The implementation of this algorithm was both on the inner-scale and inter-scale level. The inner-scale recursion was executed on the lowest resolution, where the MRF corresponding to each node was sequentially and reeursively estimated by the ICM algorithm from the root to leaves. The inter-scale reeursion was implemented on the next finer resolution, in which the estimation of MRFs was sequentially initialized by the direct projection from the next lower resolution and recursively refined by the ICM algorithm. The final .segmentation was obtained when the MRFs were estimated on the primary resolution. Two experiments verify the validity of the proposed method in terms of both visual quality and quantitative indicators (e. g. overall accuracy and Kappa coefficient).关键词
小波变换/图像分割/树结构马尔可夫场/小波域树结构马尔可夫场Key words
wavelet transform/ image segmentation/ tree-structured Markov Random Field (TS-MRF)/ tree-structured Markov Random Field in wavelet domain (WTS-MRF)PACS: 45.05. +x分类
信息技术与安全科学引用本文复制引用
刘国英,王爱民,陈荣元,秦前清..基于小波域TS-MRF模型的监督图像分割方法[J].红外与毫米波学报,2011,30(1):91-96,6.基金项目
国家973项目(2006CB701303) （2006CB701303）
国家自然科学基金项目(41001251 （）
40971219) （）
测绘国家重点实验室开放研究基金(遥感数据高性能处理的理论与方法研究) （遥感数据高性能处理的理论与方法研究）
遥感软件体系架构及标准规范研究(904170803) （904170803）
湖南省自然科学基金资助项目(10jj2050) （10jj2050）
