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Volumn 213, Issue 4, 1999, Pages 231-245

Automated visual inspection of wood boards: Selection of features for defect classification by a neural network

Author keywords

Automated visual inspection; Classification; Feature extraction; Neural networks; Veneer boards

Indexed keywords

AUTOMATED INSPECTION; CLASSIFICATION; DEFECT; NEURAL NETWORK; VISUAL INSPECTION; WOOD;

EID: 0033399519     PISSN: 09544089     EISSN: None     Source Type: Journal    
DOI: 10.1243/0954408991529852     Document Type: Article
Times cited : (18)

References (20)
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  • 7
    • 0030351640 scopus 로고    scopus 로고
    • Self-organising feature extraction in recognition of wood surface defects and colour images
    • Lampinen, J. and Smolander, S. Self-organising feature extraction in recognition of wood surface defects and colour images. Int. J. Pattern Recognition Artificial Intell., 1996, 10(2), 97-113.
    • (1996) Int. J. Pattern Recognition Artificial Intell. , vol.10 , Issue.2 , pp. 97-113
    • Lampinen, J.1    Smolander, S.2
  • 10
    • 0025799190 scopus 로고
    • Automated optical grading of timber
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    • Sobey, P.J.1
  • 12
    • 0024877465 scopus 로고
    • Detection and sizing visual features in wood using tonal measures and a classification algorithm
    • Sobcy, P. J. and Semple, E. C. Detection and sizing visual features in wood using tonal measures and a classification algorithm. Pattern Recognition, 1989, 22(4), 367-380.
    • (1989) Pattern Recognition , vol.22 , Issue.4 , pp. 367-380
    • Sobcy, P.J.1    Semple, E.C.2
  • 15
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    • A computer vision system for automated grading of rough hardwood lumber using a knowledge-based approach
    • Cambridge, Massachusetts, IEEE, New York.
    • Cho, T. H., Conners, R. W. and Araman, P. A. A computer vision system for automated grading of rough hardwood lumber using a knowledge-based approach. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Cambridge, Massachusetts, 1990, pp. 345-350 (IEEE, New York).
    • (1990) Proceedings of the IEEE International Conference on Systems, Man and Cybernetics , pp. 345-350
    • Cho, T.H.1    Conners, R.W.2    Araman, P.A.3
  • 16
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    • Computer vision system for locating and identifying defects in hardwood lumber
    • Orlando, Florida, SPIE, Bellingham, Washington.
    • Conners, R. W., Ng, C. T., Cho, T. H. and McMillin, C. W. Computer vision system for locating and identifying defects in hardwood lumber. In Applications of Artificial Intelligence VII, Proceedings of the SPIE, Vol. 1095, Orlando, Florida, 1989, pp. 48-63 (SPIE, Bellingham, Washington).
    • (1989) Applications of Artificial Intelligence VII, Proceedings of the SPIE , vol.1095 , pp. 48-63
    • Conners, R.W.1    Ng, C.T.2    Cho, T.H.3    McMillin, C.W.4
  • 17
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    • Automatic recognition of defects in wood
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    • Tatari, S. and Haettich, W. Automatic recognition of defects in wood. In Advances in Image Processing, Proceedings of the SPIE, Vol. 804, The Hague, 1987, pp. 229-236 (SPIE, Bellingham, Washington).
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    • Tatari, S.1    Haettich, W.2
  • 19
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    • (1994) Best Practice Guidelines for Developing Neural Computing Applications


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.