Presentation | 1996/12/13 Picture Segmentation Using a Genetic Algorithm and an MRF Model Toshihiro Miyamoto, Miki Haseyama, Hideo Kitajima, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a method of picture segmentation using a Genetic algorithm (GA). One of the picture segmentation methods is derived with a Markov random field (MRF). It anodizes the texture of a picture and segments it into some regions. However, if the picture has gradation regions, the method can not segment it accurately. Further, a total number of the regions need to be known before execution. The proposed method estimates the parameters and can segment a picture of which the brightness is gradually changed. In this paper, the performance of the proposed method is verified by some simulations. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | picture segmentation / region growing / genetic algorithm / Makov random field |
Paper # | CS96-130 |
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Committee | CS |
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Conference Date | 1996/12/13(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Communication Systems (CS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Picture Segmentation Using a Genetic Algorithm and an MRF Model |
Sub Title (in English) | |
Keyword(1) | picture segmentation |
Keyword(2) | region growing |
Keyword(3) | genetic algorithm |
Keyword(4) | Makov random field |
1st Author's Name | Toshihiro Miyamoto |
1st Author's Affiliation | Faculty of Engineering, Hokkaido University() |
2nd Author's Name | Miki Haseyama |
2nd Author's Affiliation | Faculty of Engineering, Hokkaido University |
3rd Author's Name | Hideo Kitajima |
3rd Author's Affiliation | Faculty of Engineering, Hokkaido University |
Date | 1996/12/13 |
Paper # | CS96-130 |
Volume (vol) | vol.96 |
Number (no) | 402 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |