Presentation 2003/1/28
A Note on Features Based on a Multiscale Analysis for Texture Classification
Tomoya ISHIDA, Miki HASEYAMA, Hideo KITAJIMA,
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Abstract(in English) This paper presents a novel approach to texture analysis using the features which are based on a niultiscalc analysis. Since edges or line elements in an image have been utilized as texture elements in the traditional approach, they cannot accurately analyze contaminated images by blur, additive noise, etc. In the proposed method, Features of convex and concave surfaces obtained by applying Gaussian filters are defined as texture elements. Even when the texture images including the contamination arc observed; the proposed method can provide the accurate analysis results, since the elements are robust against the contamination. Therefore, some experimental results are shown for the high performance of the proposed method to be verified.
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Keyword(in English) texture analysis / texture elements / convex and concave surfaces / multiscale analysis
Paper # ITS2002-95,IE2002-236
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Committee IE
Conference Date 2003/1/28(1days)
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Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Note on Features Based on a Multiscale Analysis for Texture Classification
Sub Title (in English)
Keyword(1) texture analysis
Keyword(2) texture elements
Keyword(3) convex and concave surfaces
Keyword(4) multiscale analysis
1st Author's Name Tomoya ISHIDA
1st Author's Affiliation School of Engineering, Hokkaido University()
2nd Author's Name Miki HASEYAMA
2nd Author's Affiliation School of Engineering, Hokkaido University
3rd Author's Name Hideo KITAJIMA
3rd Author's Affiliation School of Engineering, Hokkaido University
Date 2003/1/28
Paper # ITS2002-95,IE2002-236
Volume (vol) vol.102
Number (no) 632
Page pp.pp.-
#Pages 6
Date of Issue