Proceedings of the Korean Society of Precision Engineering Conference (한국정밀공학회:학술대회논문집)
- 2005.10a
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- Pages.379-383
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- 2005
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- 2005-8446(pISSN)
Classification of Surface Defects on Steel Strip by KNN Classifier
KNN 분류기에 의한 강판 표면 결함의 분류
Abstract
This paper proposes a new steel strip surface inspection system. The system acquires bright and dark field images of defects by using a stroboscopic IR LED light and area camera system and the defect images are preprocessed and segmented in real time for feature extraction. 4113 defect samples of cold roll steel strips are used to develop KNN (k-Nearest Neighbor) classifier which classifies the defects into 8 different types. The developed KNN classifier demonstrates about 85% classifying performance which is considered very plausible result.
Keywords