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Volumn 6, Issue 11, 1998, Pages 1389-1395

A tool condition recognition system using image processing

Author keywords

Crater wear; Flank wear; Image processing; Neural network

Indexed keywords

ALGORITHMS; BACKPROPAGATION; IMAGE PROCESSING; MACHINING; MULTILAYER NEURAL NETWORKS; PATTERN RECOGNITION SYSTEMS; WEAR OF MATERIALS;

EID: 0032207658     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0967-0661(98)00117-8     Document Type: Article
Times cited : (10)

References (11)
  • 1
    • 0004117631 scopus 로고
    • Prentice Hall, Englewood Cliffs, NJ
    • Ballard, H.D., Brown, C.M. (1982). Computer Vision (pp. 102-113). Prentice Hall, Englewood Cliffs, NJ.
    • (1982) Computer Vision , pp. 102-113
    • Ballard, H.D.1    Brown, C.M.2
  • 3
    • 0018715301 scopus 로고
    • Recognition and control of the morphology of tool failures
    • Matsushima, K., Kawabata, T., & Sata, T. (1979). Recognition and control of the morphology of tool failures, Annals of the CIRP, 28/(1), 43-47
    • (1979) Annals of the CIRP , vol.28 , Issue.1 , pp. 43-47
    • Matsushima, K.1    Kawabata, T.2    Sata, T.3
  • 4
    • 0025536629 scopus 로고
    • Tool wear and failure monitoring techniques for turning - A review
    • Dan, L., & Matthew, J. (1990). Tool wear and failure monitoring techniques for turning - a review, International Journal of Machine Tools Manufacturing, 30(4), 579-598.
    • (1990) International Journal of Machine Tools Manufacturing , vol.30 , Issue.4 , pp. 579-598
    • Dan, L.1    Matthew, J.2
  • 5
    • 0024096011 scopus 로고
    • Scope of in-process measurement, monitoring and control techniques in machining processes part 1: In-process techniques for tools
    • Shiraishi, M. (1988). Scope of in-process measurement, monitoring and control techniques in machining processes part 1: in-process techniques for tools. Precision Engineering, 10(4), 179-189.
    • (1988) Precision Engineering , vol.10 , Issue.4 , pp. 179-189
    • Shiraishi, M.1
  • 6
    • 0040677015 scopus 로고    scopus 로고
    • Crater wear measurement using computer vision and automatic focusing
    • Yang, M.Y., & Kwon, O.D. (1996). Crater wear measurement using computer vision and automatic focusing, Material Processing Technology, 162, 1200-1207.
    • (1996) Material Processing Technology , vol.162 , pp. 1200-1207
    • Yang, M.Y.1    Kwon, O.D.2
  • 7
    • 0018306059 scopus 로고
    • A threshold selection method from gray level histograms
    • Otsu, N. (1979). A threshold selection method from gray level histograms, IEEE Trans, System Man Cybernet, 9, 62-66.
    • (1979) IEEE Trans, System Man Cybernet , vol.9 , pp. 62-66
    • Otsu, N.1
  • 9
    • 0027150409 scopus 로고
    • Estimation of cutting tool life by processing tool image data with neural network
    • Teshima, T., Shibasaka, T., Takuma, M., & Yamamo, A. (1993). Estimation of cutting tool life by processing tool image data with neural network, Annals of the CIRP, 42/(1), 59-62.
    • (1993) Annals of the CIRP , vol.42 , Issue.1 , pp. 59-62
    • Teshima, T.1    Shibasaka, T.2    Takuma, M.3    Yamamo, A.4
  • 10
    • 0026399259 scopus 로고
    • Tool management: The present and the future
    • Eversheim, W. (1991). Tool management: The present and the future. Annals of CIRP, 40/(2), 631-639.
    • (1991) Annals of CIRP , vol.40 , Issue.2 , pp. 631-639
    • Eversheim, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.