Hausdorff distance based PCB inspection system with defect classification

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6000, Issue , 2005, Pages

  Chen, Chun Jen ^a   Lai, Shang Hong ^a   Lee, Win How ^a   Lin, Chun Yu ^b   Ku, Terry ^b   Chen, Chiu Hui ^b   Chung, Yueh Ching ^b  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

^b INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE   (Taiwan)

Author keywords

Coarse to fine search; Defect classification; Defect detection; Hausdorff distance; Image alignment; Metal classification; Support vector machine

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; DEFECTS; METAL ANALYSIS; PRINTED CIRCUIT BOARDS;

COARSE-TO-FINE SEARCH; DEFECT CLASSIFICATION; DEFECT DETECTION; HAUSDORFF DISTANCE; IMAGE ALIGNMENT; METAL CLASSIFICATION; SUPPORT VECTOR MACHINES (SVM);

INSPECTION;

EID: 33644649419     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.639586     Document Type: Conference Paper

References (5)

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4. Moganti M., Ercal F., Dagli C. H., and Tsunekawa S. (1996). Automatic PCB Inspection Algorithms: A Survey. Computer Vision and Image Understanding. 63(2), March, 287-313.
5. Thorsten Joachims (1999). Transductive Inference for Text Classification using Support Vector Machines. Proceedings of the 16th International Conference on Machine Learning (ICML). 200-209.