Presentation | 1999/2/2 An Accuracy Evaluation of the Figure Extraction Method Shoji Tanaka, Yuichi Iwadate, Seiji Inokuchi, |
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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, we assume that the a figure-ground segmentation of a picture is necessary to extract attractive regions as the first process. On this assumption, a method for detecting figure regions from picture utilizing the feature of V4 cortex in the visual system 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. In our experiments, the proposed method could extract figure regions at the rate of 80% accuracy. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Attractive Region / Image Segmentation / Figure-Ground |
Paper # | EID98-154 |
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Committee | EID |
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Conference Date | 1999/2/2(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Electronic Information Displays (EID) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An Accuracy Evaluation of the Figure Extraction Method |
Sub Title (in English) | |
Keyword(1) | Attractive Region |
Keyword(2) | Image Segmentation |
Keyword(3) | Figure-Ground |
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 | 1999/2/2 |
Paper # | EID98-154 |
Volume (vol) | vol.98 |
Number (no) | 573 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |