A new accurate segmentation way for high resolution images

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

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Pages721-724
Number of pages4
StatePublished - 2004
Event2004 7th International Conference on Signal Processing Proceedings (ICSP'04) - Beijing, China
Duration: 31 Aug 20044 Sep 2004

Conference

Conference2004 7th International Conference on Signal Processing Proceedings (ICSP'04)
Country/TerritoryChina
CityBeijing
Period31/08/044/09/04

Keywords

  • GMRF tree models
  • Segmentation
  • Wavelet decomposition

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