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 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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Conference Information
Committee CS
Conference Date 1996/12/13(1days)
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Registration To Communication Systems (CS)
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