A new accurate segmentation way for high resolution images

F. Y. Hu, Yan Ning Zhang, Guang Peng Zhang, Jing Wang

科研成果: 会议稿件论文同行评审

1 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
721-724
页数4
出版状态已出版 - 2004
活动2004 7th International Conference on Signal Processing Proceedings (ICSP'04) - Beijing, 中国
期限: 31 8月 20044 9月 2004

会议

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

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