Presentation 2000/2/3
Image Analysis by using Local Texture Feature
Jun-ichi Okuyama, Wataru Mitsuhashi,
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Abstract(in English) A new approach to segment images composed of different textures is presented in this paper. We modified Texture Spectral Method, proposed by Wang et al., to decrease the number of spectral components by considering the geometrical meaning for a local change of image intensities. The number of spectral components is considerably reduced and the local strucute of image intensities can be clearly recognized by this approach. We applied the proposed approach to extract different types of image features and the experimental results on various images are presented.
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Keyword(in English) Image Analysis / Texuture / Local Texture Feature / Texture Spectral Method
Paper # EID99-135, IE99-131
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Committee EID
Conference Date 2000/2/3(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Image Analysis by using Local Texture Feature
Sub Title (in English)
Keyword(1) Image Analysis
Keyword(2) Texuture
Keyword(3) Local Texture Feature
Keyword(4) Texture Spectral Method
1st Author's Name Jun-ichi Okuyama
1st Author's Affiliation Graduate School of Electro-Communications, Course in Communications and Systems, University of Electro-Communications()
2nd Author's Name Wataru Mitsuhashi
2nd Author's Affiliation Graduate School of Electro-Communications, Course in Communications and Systems, University of Electro-Communications
Date 2000/2/3
Paper # EID99-135, IE99-131
Volume (vol) vol.99
Number (no) 608
Page pp.pp.-
#Pages 6
Date of Issue