人工智能
马尔可夫随机场
模式识别(心理学)
小波
判别式
计算机科学
图像分割
四叉树
树形结构
分割
树(集合论)
数学
计算机视觉
算法
二叉树
数学分析
作者
Guoying Liu,Qianqing Qin,Tiancan Mei,Wei Xie,Leiguang Wang
出处
期刊:IEEE Geoscience and Remote Sensing Letters
[Institute of Electrical and Electronics Engineers]
日期:2009-10-01
卷期号:6 (4): 850-854
被引量:14
标识
DOI:10.1109/lgrs.2009.2026719
摘要
In the tree-structured Markov random field (TS-MRF) model, a sequence of MRFs was hierarchically defined on the single spatial resolution in the format of a tree structure which might suffer from the deficiency of modeling the nonstationary property of a given image. In order to overcome such a problem and motivated by nonredundant directional selectivity and highly discriminative nature of the wavelet representation, we attempt to introduce the TS-MRF model into the wavelet domain and propose a new image modeling method-WTS-MRF, in which each MRF is defined over a multiresolution subset of the lattice sites corresponding to the wavelet decomposition. Based on WTS-MRF, a supervised image segmentation algorithm is carried out, and experiment on a remotely sensed image proves the better performance than the supervised segmentation algorithm based on the TS-MRF model.
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