Presentation | 2007-12-13 Graph Cuts by using Local Texture Features of Wavelet Coefficient for Image Segmentation Keita FUKUDA, Tetsuya TAKIGUCHI, Yasuo ARIKI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a approach to image segmentation using Graph Cuts based on local texture features of wavelet coefficient. Using Multiresolution Analysis based on Haar Wavelet, low-frequency range (scaling image) is used for n-link and high-frequency range (local texture features) is used for t-link with color histogram. Iterated Graph Cuts, the propose method can segment the region of object for images with a lot of edge, with colors similar to foreground and background, and with heavy texture change. Experimental results showed our method (Err : 1.57%) reduced segmentation error rates by approximately 35.1% compared to previous methods (Err : 2.42%). |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Image Segmentation / Graph Cuts / Multiresolution Analysis / Local Texture Feature |
Paper # | PRMU2007-138 |
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Committee | PRMU |
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Conference Date | 2007/12/6(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) | Graph Cuts by using Local Texture Features of Wavelet Coefficient for Image Segmentation |
Sub Title (in English) | |
Keyword(1) | Image Segmentation |
Keyword(2) | Graph Cuts |
Keyword(3) | Multiresolution Analysis |
Keyword(4) | Local Texture Feature |
1st Author's Name | Keita FUKUDA |
1st Author's Affiliation | Graduate School of Engineering, Kobe University() |
2nd Author's Name | Tetsuya TAKIGUCHI |
2nd Author's Affiliation | Faculty of Engineering, Kobe University |
3rd Author's Name | Yasuo ARIKI |
3rd Author's Affiliation | Faculty of Engineering, Kobe University |
Date | 2007-12-13 |
Paper # | PRMU2007-138 |
Volume (vol) | vol.107 |
Number (no) | 384 |
Page | pp.pp.- |
#Pages | 6 |
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