| Presentation | 2003/1/28 Automatic Detection of Perceptually Important Regions in a Color Image Takasi YAHARA, Junji MAEDA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Humans generally focus on a few areas in an image rather than scan all areas of a scene. Extraction of perceptully important regions is useful for a wide applications such as object recognition, image compression and machine vision. We present a method to automatically produce an importance map, that predicts the perceptual importance for each segmented region in the image, using various factors which influence human visual attention. We used region growing algorithm as image segmentation technique. By using fuzzzy inference to develop an importance map, we obtained the results that coincide with human sence. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Image Segmentation / Region Growing / Importance Map / Fuzzy Inference |
| Paper # | ITS2002-94,IE2002-235 |
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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) | Automatic Detection of Perceptually Important Regions in a Color Image |
| Sub Title (in English) | |
| Keyword(1) | Image Segmentation |
| Keyword(2) | Region Growing |
| Keyword(3) | Importance Map |
| Keyword(4) | Fuzzy Inference |
| 1st Author's Name | Takasi YAHARA |
| 1st Author's Affiliation | Department of Computer Science and Systems Engineering, Faculty of Enginnering, Muroran Institute of technology() |
| 2nd Author's Name | Junji MAEDA |
| 2nd Author's Affiliation | Department of Computer Science and Systems Engineering, Faculty of Enginnering, Muroran Institute of technology |
| Date | 2003/1/28 |
| Paper # | ITS2002-94,IE2002-235 |
| Volume (vol) | vol.102 |
| Number (no) | 632 |
| Page | pp.pp.- |
| #Pages | 5 |
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