| Presentation | 1998/11/13 Figure-Ground Segmentation method based on Contrast of Regions Shoji Tanaka, Yuichi Iwadate, Seiji Inokuchi, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Detecting interesting regions from images has become important in order to reduce the computational complexity associated with time-consuming processes such as object recognition. In this paper, a method for detecting figure regions from picture is presented. The method detects the figure regions based on the level of contrast between a region and its surroundings. Contrast parameters are defined by the color difference and the texture difference between a region and its surroundings, as well as, the focus of the region. A neural network is employed for learning the figure-ground selectivity the in human visual system. Some results of the proposed menthod are also presented. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Attractive Region / Image Segmentation / Neural Network |
| Paper # | HIP98-34 |
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| Committee | HIP |
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| Conference Date | 1998/11/13(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Human Information Processing (HIP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Figure-Ground Segmentation method based on Contrast of Regions |
| Sub Title (in English) | |
| Keyword(1) | Attractive Region |
| Keyword(2) | Image Segmentation |
| Keyword(3) | Neural Network |
| 1st Author's Name | Shoji Tanaka |
| 1st Author's Affiliation | ATR Media Integration & Communications Research Laboratories:Department of Systems and Human Science, Osaka University() |
| 2nd Author's Name | Yuichi Iwadate |
| 2nd Author's Affiliation | ATR Media Integration & Communications Research Laboratories |
| 3rd Author's Name | Seiji Inokuchi |
| 3rd Author's Affiliation | Department of Systems and Human Science, Osaka University |
| Date | 1998/11/13 |
| Paper # | HIP98-34 |
| Volume (vol) | vol.98 |
| Number (no) | 397 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |