跳到主要导航 跳到搜索 跳到主要内容

A new accurate segmentation way for high resolution images

  • Northwestern Polytechnical University Xian

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

In this paper, an accurate segmentation approach to high resolution images based on wavelet-domain Gaussian Markov Random Field(GMRF) Tree Models is proposed. The novel wavelet decomposition algorithm and multi-scale segmentation of textured image are presented. This method captures the dependencies across the wavelet subbands and the interscale dependencies that are useful for texture analysis. The power of our technique lies in effective extraction of texture information in high resolution images. Experiments' prove the efficiency of the approach in the segmentation of high resolution images.

源语言英语
主期刊名2004 7th International Conference on Signal Processing Proceedings (ICSP'04)
出版商Institute of Electrical and Electronics Engineers Inc.
721-724
页数4
ISBN(印刷版)0780384067
DOI
出版状态已出版 - 2004
活动7th International Conference on Signal Processing, ICSP 2004 - Beijing, 中国
期限: 31 8月 20044 9月 2004

丛书

姓名International Conference on Signal Processing Proceedings, ICSP
1
ISSN(印刷版)2164-5221
ISSN(电子版)2164-523X

会议

会议7th International Conference on Signal Processing, ICSP 2004
国家/地区中国
Beijing
时期31/08/044/09/04

学术指纹

探究 'A new accurate segmentation way for high resolution images' 的科研主题。它们共同构成独一无二的学术指纹。

引用此