Presentation | 2001/1/12 Feature extraction of texture image using morphorogical pattern spectrum Miho Miyagawa, Akira Asano, Mitsuhiko Fujio, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The efficiency of the pattern spectrum analysis method for texture classification is investigated in this paper. The pattern spectrum is a mathematical morphological method to describe the size distribution of objects in an image. We have proposed a method to extract the shape of an elementary particle of textures by optimizing the structuring element to reduce the variance of pattern spectrum that is calculated using this structuring element. In this paper we showed the texture discrimination efficiency of our method by comparing the distances between structuring elements extracted from similar as well as distinctive pairs of textures. Other evaluation functions than reducing the variance of pattern spectrum are also compared. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | texture analysis / feature extraction / pattern spectrum / optimization / mathematical morphology |
Paper # | PRMU2000-177 |
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Committee | PRMU |
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Conference Date | 2001/1/12(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Feature extraction of texture image using morphorogical pattern spectrum |
Sub Title (in English) | |
Keyword(1) | texture analysis |
Keyword(2) | feature extraction |
Keyword(3) | pattern spectrum |
Keyword(4) | optimization |
Keyword(5) | mathematical morphology |
1st Author's Name | Miho Miyagawa |
1st Author's Affiliation | Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology() |
2nd Author's Name | Akira Asano |
2nd Author's Affiliation | Faculty of Integrated Arts and Sciences, Hiroshima University |
3rd Author's Name | Mitsuhiko Fujio |
3rd Author's Affiliation | Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology |
Date | 2001/1/12 |
Paper # | PRMU2000-177 |
Volume (vol) | vol.100 |
Number (no) | 566 |
Page | pp.pp.- |
#Pages | 6 |
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