A Shape Detection Method Using Improved Genetic Algorithm
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- Kawanishi Hiroyuki
- Keio University
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- Hagiwara Masafumi
- Keio University
Bibliographic Information
- Other Title
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- 遺伝的アルゴリズムを用いた複数図形の検出
- イデンテキ アルゴリズム オ モチイタ フクスウ ズケイ ノ ケンシュツ
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Abstract
A novel method to detect plural kinds of shapes such as lines, circles, ellipses, and parabolas has been proposed. It is based on improved Genetic Algorithm (GA). We have developed the following techniques to detect those shapes: 1) each chromosome is interpreted differently: each chromosome represents plural kinds of shapes; 2) detected shapes are eliminated from the original image for efficient detection; and 3) initialization of the chromosomes is carried out during the process for fast detection. We confirmed validity and superior performance of the proposed method by computer simulations.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 116 (8), 891-897, 1996
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390001204608610432
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- NII Article ID
- 130006844254
- 10000085069
- 10001786565
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 4003800
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed