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Volumn 18, Issue 5, 2009, Pages 632-643

Automated bridge coating defect recognition using adaptive ellipse approach

Author keywords

Adaptive ellipse approach (AEA); Coating defect recognition; Color configuration; Image processing; K Means

Indexed keywords

ADAPTIVE ELLIPSE APPROACH (AEA); CIVIL ENGINEERS; COATING DEFECT RECOGNITION; COATING DEFECTS; COLOR SPACE; K-MEANS; K-MEANS METHOD; NEW APPROACHES; NON-UNIFORM ILLUMINATION; ROBUST METHODS; STEEL BRIDGE COATINGS; SURFACE COATINGS;

EID: 67349103061     PISSN: 09265805     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.autcon.2008.12.007     Document Type: Article
Times cited : (43)

References (10)
  • 1
    • 0038823665 scopus 로고    scopus 로고
    • Artificial intelligence application to bridge painting assessment
    • Chen P.H., and Chang L.M. Artificial intelligence application to bridge painting assessment. Automation in Construction 12 4 (2003) 431-445
    • (2003) Automation in Construction , vol.12 , Issue.4 , pp. 431-445
    • Chen, P.H.1    Chang, L.M.2
  • 4
    • 13244299266 scopus 로고    scopus 로고
    • Performance comparison of bridge coating defect recognition methods
    • Lee S., Chang L.M., and Chen P.H. Performance comparison of bridge coating defect recognition methods. Corrosion 61 1 (2005) 12-20
    • (2005) Corrosion , vol.61 , Issue.1 , pp. 12-20
    • Lee, S.1    Chang, L.M.2    Chen, P.H.3
  • 5
    • 0035546355 scopus 로고    scopus 로고
    • Color image segmentation: advances and prospects
    • Cheng H.D., et al. Color image segmentation: advances and prospects. Pattern Recognition 34 12 (2001) 2259-2281
    • (2001) Pattern Recognition , vol.34 , Issue.12 , pp. 2259-2281
    • Cheng, H.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.