| Presentation | 2003/1/28 Segmentation of Color Images Using Texture Features and Clustering Method Kazunori MORI, Junji MAEDA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We present the segmentation method of color images which controls an excessive partition. Segmentation of images including both man-made objects and natural objects sometimes produces the excessive partition due to the texture regions such as trees, leaves and walls. The purpose of the proposed method is to provide rough segmentation of texture regions in natural objects while maintaining precise segmentaion of important edge regions in man-made objects. The experimental results demonstrate the effectiveness of the proposed method in comparison with the conventional method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Image Segmentation / Texture / Fractal / SGF / Clustering |
| Paper # | ITS2002-96,IE2002-237 |
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| Conference Information | |
| Committee | IE |
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| Conference Date | 2003/1/28(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Image Engineering (IE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Segmentation of Color Images Using Texture Features and Clustering Method |
| Sub Title (in English) | |
| Keyword(1) | Image Segmentation |
| Keyword(2) | Texture |
| Keyword(3) | Fractal |
| Keyword(4) | SGF |
| Keyword(5) | Clustering |
| 1st Author's Name | Kazunori MORI |
| 1st Author's Affiliation | Department of Computer Science and Systems Engineering, Faculty of Engineering, Muroran Institute() |
| 2nd Author's Name | Junji MAEDA |
| 2nd Author's Affiliation | Department of Computer Science and Systems Engineering, Faculty of Engineering, Muroran Institute |
| Date | 2003/1/28 |
| Paper # | ITS2002-96,IE2002-237 |
| Volume (vol) | vol.102 |
| Number (no) | 632 |
| Page | pp.pp.- |
| #Pages | 5 |
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