메뉴 건너뛰기




Volumn 2, Issue , 2010, Pages 298-302

Surface roughness measure based on average texture cycle

Author keywords

Average texture cycle; Binary generalization; Image processing; Surface roughness measure

Indexed keywords

AVERAGE TEXTURE CYCLE; BINARY GENERALIZATION; IDENTIFICATION ACCURACY; MATLAB- SOFTWARE; ROUGHNESS LEVEL; SURFACE IMAGE; TESTING METHOD;

EID: 78449311643     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IHMSC.2010.174     Document Type: Conference Paper
Times cited : (11)

References (5)
  • 1
    • 0035400976 scopus 로고    scopus 로고
    • Surface roughness inspection by computer vision in turning operations
    • PII: S0890-6955(01)00023-2
    • B. Y. Lee, Y. S. Tarng. "Surface roughness inspection by computer vision in turning operations," International Journal of Machine Tools & Manufacture, vol. 41, 2001, pp, 1251-1263, PII: S0890-6955(01)00023-2.
    • (2001) International Journal of Machine Tools & Manufacture , vol.41 , pp. 1251-1263
    • Lee, B.Y.1    Tarng, Y.S.2
  • 2
    • 0036783510 scopus 로고    scopus 로고
    • Accurate Modeling and Prediction of Surface Roughness by Computer Vision in Turning Operations Using an Adaptive Neuro-fuzzy Inference System
    • PII: S0890-6955(02)00078-0
    • S. Y. Ho, K .C. Lee, S. S. Chen, S. J. Ho. "Accurate Modeling and Prediction of Surface Roughness by Computer Vision in Turning Operations Using an Adaptive Neuro-fuzzy Inference System," International Journal of Machine Tools and Manufacture, vol. 42, 2002, pp. 1441-1446, PII: S0890-6955(02)00078- 0.
    • (2002) International Journal of Machine Tools and Manufacture , vol.42 , pp. 1441-1446
    • Ho, S.Y.1    Lee, K.C.2    Chen, S.S.3    Ho, S.J.4
  • 3
    • 9944223156 scopus 로고    scopus 로고
    • Accurate Estimation of Surface Roughness from Texture Features of the Surface Image using an Adaptive Neuro-fuzzy Inference System
    • doi:10.1016/j.precisioneng.2004.05.002
    • K. C. Lee, S. J. Ho, S. Y. Ho, S. Y. Ho. "Accurate Estimation of Surface Roughness from Texture Features of the Surface Image using an Adaptive Neuro-fuzzy Inference System," Precision Engineering, vol. 29, 2005, pp. 95-100, doi:10.1016/j.precisioneng.2004.05.002.
    • (2005) Precision Engineering , vol.29 , pp. 95-100
    • Lee, K.C.1    Ho, S.J.2    Ho, S.Y.3    Ho, S.Y.4
  • 4
    • 2942642475 scopus 로고    scopus 로고
    • A Vision System for Surface Roughness Characterization Using the Gray Level Cooccurrence Matrix
    • doi:10.1016/j.ndteint.2004.03.004
    • E. S. Gadelmawla. "A Vision System for Surface Roughness Characterization Using the Gray Level Cooccurrence Matrix," NDT & E International, vol. 37, 2004, pp. 577-588, doi:10.1016/j.ndteint.2004.03.004.
    • (2004) NDT & E International , vol.37 , pp. 577-588
    • Gadelmawla, E.S.1
  • 5
    • 8344233309 scopus 로고    scopus 로고
    • Application of Digital Image Magnification for Surface Roughness Evaluation Using Machine Vision
    • doi:10.1016/j.ijmachtools.2004.07.001
    • Rajneesh Kumar, P. Kulashekar, B. Dhanasekar, B. Ramamoorthy. "Application of Digital Image Magnification for Surface Roughness Evaluation Using Machine Vision," International Journal of Machine Tools and Manufacture, vol. 45, 2005, pp. 228-234, doi:10.1016/j.ijmachtools.2004.07. 001.
    • (2005) International Journal of Machine Tools and Manufacture , vol.45 , pp. 228-234
    • Kumar, R.1    Kulashekar, P.2    Dhanasekar, B.3    Ramamoorthy, B.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.