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Volumn , Issue , 2011, Pages 405-408

An adaptive threshold segmentation method based on BP neural network for paper defect detection

Author keywords

adaptive threshold; BP neural network; image segmentation; paper defect detection

Indexed keywords

ADAPTIVE THRESHOLD SEGMENTATION; ADAPTIVE THRESHOLDS; BP NEURAL NETWORK; BP NEURAL NETWORK MODEL; BP NEURAL NETWORKS; DARK SPOTS; DEFECT DETECTION; DEFECT INSPECTION SYSTEM; DEFECT-DETECTION SYSTEMS; IMAGE LUMINANCE; LIGHT SPOT; SEGMENTATION THRESHOLD; THRESHOLD SEGMENTATION;

EID: 80052503012     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSESS.2011.5982338     Document Type: Conference Paper
Times cited : (7)

References (10)
  • 1
    • 0034314680 scopus 로고    scopus 로고
    • Web inspection Technology and application in paper making
    • Guan Jianhua, "Web inspection Technology and application in paper making", China Pulp & Paper, No. 6, 2000, pp. 32-35
    • (2000) China Pulp & Paper , Issue.6 , pp. 32-35
    • Jianhua, G.1
  • 3
    • 80052443546 scopus 로고    scopus 로고
    • New development of the web inspection system and its typical application
    • Wen Xidong, "New development of the web inspection system and its typical application". China Pulp & Paper, No.2, 2002, pp. 61-64.
    • (2002) China Pulp & Paper , Issue.2 , pp. 61-64
    • Wen, X.1
  • 4
    • 38349079017 scopus 로고    scopus 로고
    • Computer-vision-based fabric defect detection: A survey
    • January
    • Ajay Kumar, "Computer-vision-based fabric defect detection: a survey", IEEE Transactions on Industrial Electronics, Vol. 55, No. 1, January 2008.
    • (2008) IEEE Transactions on Industrial Electronics , vol.55 , Issue.1
    • Kumar, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.