Research on Surface Defect Detection of Aluminum based on Image Processing
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- Liu Xuemin
- China petroleum engineering & construction corporation
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- Bian Ce
- Tianjin Tianke Intelligent and Manufacture Technology CO., LTD.
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- Yin Di
- Tianjin University of Science and Technology Advanced Structural Integrity International Joint Research Centre, Tianjin University of Science and Technology
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- Zhu Yuxuan
- Tianjin University of Science and Technology Advanced Structural Integrity International Joint Research Centre, Tianjin University of Science and Technology
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- Yuan Yasheng
- Tianjin University of Science and Technology Advanced Structural Integrity International Joint Research Centre, Tianjin University of Science and Technology
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- Wang Hao
- Tianjin University of Science and Technology
説明
Aluminum material is relatively smooth. Aluminum surface engender scratches and bruises easily when collide with other metal. Surface defect detection of aluminum products is particularly important. It is very convenient to use machine vision method for defect detection. Defect contour extraction is an important part of machine vision for defect detection. The surface of aluminum metal is very reflective and shallow scratches are easily mistaken for defects. There are many kinds of filtering, such as the mean filtering, gauss filtering, median filtering and directed filtering. With the help of filtering, dynamic threshold can achieve a good effect. The severe scratch defect and the slight scratch can be clearly separated from the surface of the aluminum product.
収録刊行物
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- 人工生命とロボットに関する国際会議予稿集
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人工生命とロボットに関する国際会議予稿集 25 822-825, 2020-01-13
株式会社ALife Robotics
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詳細情報 詳細情報について
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- CRID
- 1390002184876608768
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- ISSN
- 21887829
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
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- 抄録ライセンスフラグ
- 使用不可