Strip steel surface defect recognition based on Boosting optimized decision tree

Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering

Volumn 39, Issue 5, 2010, Pages 954-958

  Yang, Shui Shan ^a   He, Yong Hui ^a   Zhao, Wan Sheng ^b  

^a BAOSTEEL RESEARCH INSTITUTE   (China)

^b SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Boosting; Image recognition; Strip steel; Surface defects

Indexed keywords

ADAPTIVE WEIGHTS; AUTOMATIC INSPECTION SYSTEM; BOOSTING; BOOSTING ALGORITHM; BREADTH-FIRST; CLASSIFICATION TECHNOLOGY; DATA SETS; DEFECT RECOGNITION; DEFECTS RECOGNITION; IMAGE INFORMATION; KEY TECHNOLOGIES; ONE STEP; RECOGNITION PERFORMANCE; STRIP STEEL; WEIGHTED VOTING;

CLASSIFIERS; DATA HANDLING; DECISION TREES; IMAGE RECOGNITION; LEARNING ALGORITHMS; OPTIMIZATION;

SURFACE DEFECTS;

EID: 78650330315     PISSN: 10072276     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. Wu Ping-Chuan, Lu Tong-Jun, Wang Yan. Development and perspective of automatic strips surface inspection system[J]. Iron and Steel, 2000, 35(6): 70-75.
2. Keesug Choi, Kyungmo Koo, LEE J S. Development of defect classification algorithm for POSCO rolling strip surface inspection system [C]// SICE-ICASE International Joint Conference, 2006: 2499-2502.
3. Wang Hong-Bo, Zhuang Zhi-Hong, Zhang Qing-Tai. Study on recognition of aircraft status based on dynamic infrared images[J]. Infrared and Laser Engineering, 2003, 32(1): 8-12.
4. Li Min, Zhou Zhen-Hua, Zhang Gui-Lin. Image measures in the evaluation of ATR algorithm performance[J]. Infrared and Laser Engineering, 2007, 36(3): 412-416.
5. Quinlan J R. C4.5: Programs for Machine Learning[M]. San Francisco, CA: Morgan Kaufmann Publishers, 1993.
6. Mehta M, Agrawal R, Rissanen J. SLIQ: a fast scalable classifier for data mining[J]. Lecture Notes in Computer Science, 1996, 1057: 18-30.
7. Valiant L G. A theory of the learnable[J]. Communication of ACM, 1984, 27(11): 1134-1142.
8. Schapire R E. The strength of weak leaning ability[J]. Machine Learning, 1990, 5(2): 197-227.
9. Freund Y, Schapire R E. Experiments with a new Boosting algorithm[C]// Machine Learning: Proceedings of 13th Interactional Conference, 1996: 148-156.
10. Freund Y. Boosting a weak algorithm by majority[J]. Information and Computation, 1995, 121(2): 256-285.