書誌事項
- タイトル別名
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- Automatic Construction of Image Inspection System by Using Image Processing Network Programming
抄録
In this paper, we discuss a method for automatic programming of inspection image processing. In the industrial field, an automatic program generator or expert system are expected to shorten the time form order ing of individually designed and manufactured appearance inspection systems to delivery completion. So-called “image processing expert system” have been studied for over the nearly 30 years. We are convinced of the need to adopt a new idea. Recently, a novel type of evolutionary algorithms, called genetic network programming (GNP), has been proposed. Consequently, we use GNP as a method to create an inspection image processing logic. GNP develops a distinguished directed graph structure for its individual representations, consequently showing an excellent expressive ability for modeling a range of complex problems. We have converted this network program model to Image Processing Network Programming (IPNP). IPNP selects an appropriate image processing command based on some characteristics of input image data and history process information. It is verified from experiments that the proposed method is able to create some inspection image processing programs. In a basic experiment with 200 test images, the success rate of detection of target region was 93.5%.
収録刊行物
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- 精密工学会誌
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精密工学会誌 81 (12), 1193-1197, 2015
公益社団法人 精密工学会
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詳細情報 詳細情報について
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- CRID
- 1390001204828610688
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- NII論文ID
- 130005111868
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- ISSN
- 1882675X
- 09120289
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可