An Experiment with Ant Colony Optimization for Edge Detection in Images
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- 山村, 明弘
- 秋田大学
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- Yamamura, Akihiro
- 秋田大学
書誌事項
- タイトル別名
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- An Experiment with Ant Colony Optimization for Edge Detection in Images (Algebras, logics, languages and related areas)
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説明
Ant colony optimization (ACO) is a simulation of the natural behavior of ant species; where ants find the shortest path between its nest and food source. Image edge detection is a basic image processing task, where the outlines of the objects in an image are identified, and then extracted. We present the results of an experiment conducted with the ACO algorithm applied to the edge detection problem.
収録刊行物
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- 数理解析研究所講究録
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数理解析研究所講究録 2096 90-101, 2018-12
京都大学数理解析研究所
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詳細情報 詳細情報について
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- CRID
- 1050848249740878208
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- NII論文ID
- 120006861354
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- NII書誌ID
- AN00061013
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- ISSN
- 18802818
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- HANDLE
- 2433/251741
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- NDL書誌ID
- 029623954
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- 本文言語コード
- en
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- 資料種別
- departmental bulletin paper
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- データソース種別
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- IRDB
- NDLサーチ
- CiNii Articles