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Volumn 47, Issue 3-4, 2007, Pages 570-579

The influence of component inclination on surface finish evaluation using digital image processing

Author keywords

Artificial neural networks; Machine vision; Shadow removal; Surface roughness

Indexed keywords

COMPUTER VISION; IMAGE PROCESSING; IMAGE QUALITY; NEURAL NETWORKS; PARAMETER ESTIMATION; ROUGHNESS MEASUREMENT;

EID: 33845416719     PISSN: 08906955     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijmachtools.2006.05.005     Document Type: Article
Times cited : (58)

References (13)
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    • Surface quality assessment using computer vision methods
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    • (1991) Journal of Materials Processing Technology , vol.28 , Issue.1-2 , pp. 265-274
    • Hoy, D.E.P.1    Yu, F.2
  • 8
    • 0036815452 scopus 로고    scopus 로고
    • Prediction of surface roughness in CNC face milling using neural networks and Taguchi's design of experiments
    • Benardos P.G., and Vosniakos G.C. Prediction of surface roughness in CNC face milling using neural networks and Taguchi's design of experiments. Robotics and Computer Integrated Manufacturing 18 5-6 (2002) 343-354
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    • Benardos, P.G.1    Vosniakos, G.C.2
  • 10
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  • 11
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    • Image shadow removal using pulse coupled neural network
    • Gu X., Yu D., and Zhang L. Image shadow removal using pulse coupled neural network. IEEE Transactions on Neural Networks 16 3 (2005) 692-698
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  • 13
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    • J.M. Scanlan, D.M. Chabries, R.W. Christiansen, A shadow detection and removal algorithm for 2-D images, in: Proceedings of the International Conference on Acoustics, Speech and Signal Processing, vol. 4, 1990, pp. 2057-2060.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.