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Volumn , Issue , 2005, Pages 1215-1219

The classification algorithm of defects in weld image based on asymmetrical SVMs

Author keywords

[No Author keywords available]

Indexed keywords

DISTRIBUTED COMPUTER SYSTEMS; IMAGE ANALYSIS; PATTERN RECOGNITION; WELDS;

EID: 27844445412     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (7)
  • 1
    • 0032095135 scopus 로고    scopus 로고
    • An automated radiographic NDT system for weld inspection-Flaw detection
    • T Warren, JiaWei Ni, "An automated radiographic NDT system for weld inspection-Flaw detection," NDT & E international, Vol 31, no.3, 1998,pp. 183-192.
    • (1998) NDT & E international , vol.31 , Issue.3 , pp. 183-192
    • Warren, T.1    Ni, J.2
  • 2
    • 4444223076 scopus 로고
    • Research and application of automatic recognition system to weld defects
    • Zhou wei, Wang chengxun, "Research and application of automatic recognition system to weld defects," Transactions of the China Welding Institution, Vol 13, no.1, 1992,pp. 45-50.
    • (1992) Transactions of the China Welding Institution , vol.13 , Issue.1 , pp. 45-50
    • Zhou, W.1    Wang, C.2
  • 3
    • 0035484352 scopus 로고    scopus 로고
    • Radiographics pattern recognition of welding defects using linear classifiers
    • R R da Silva,M H S Siqueira,L P Caloba etc, "Radiographics Pattern Recognition of Welding Defects Using Linear Classifiers," Insight, Vol 43, no. 10, 2001, pp. 669-674.
    • (2001) Insight , vol.43 , Issue.10 , pp. 669-674
    • Da Silva, R.R.1    Siqueira, M.H.S.2    Caloba, L.P.3
  • 6
    • 0000667930 scopus 로고    scopus 로고
    • Training nu-support vector classifiers: Theory and algorithms
    • Chang Chih-Chung, Lin Chih-Jen, "Training nu-support vector classifiers: theory and algorithms," Neural Computation, Vol.13, no.9, 2001,pp. 2119-2147.
    • (2001) Neural Computation , vol.13 , Issue.9 , pp. 2119-2147
    • Chang, C.-C.1    Lin, C.-J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.