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Volumn 4841 LNCS, Issue PART 1, 2007, Pages 403-413

Visual print quality evaluation using computational features

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE SYSTEMS; COMPUTATION THEORY; INFORMATION DISSEMINATION; VISUALIZATION;

EID: 38149043488     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-76858-6_40     Document Type: Conference Paper
Times cited : (5)

References (13)
  • 1
    • 0942278011 scopus 로고    scopus 로고
    • Robust digital image analysis method for counting missing dots in gravure printing
    • Atlanta, GA, USA, pp
    • Heeschen, W., Smith, D.: Robust digital image analysis method for counting missing dots in gravure printing. In: Proc. Int. Printing & Graphic Arts Conference, Atlanta, GA, USA, pp. 29-35 (2000)
    • (2000) Proc. Int. Printing & Graphic Arts Conference , pp. 29-35
    • Heeschen, W.1    Smith, D.2
  • 8
    • 38149135876 scopus 로고    scopus 로고
    • Niskanen, K.: Paper physics. In: Papermaking Science and Technology, Fapet Oy (1998) ISBN 952-5216-16-0
    • Niskanen, K.: Paper physics. In: Papermaking Science and Technology, Fapet Oy (1998) ISBN 952-5216-16-0
  • 10
    • 1442329619 scopus 로고    scopus 로고
    • Doyle, M.: Measuring the imperfect dot. In: IS&T's NIP16: Int. Conf. on Digital Printing Technologies, pp. 640-642 (2000)
    • Doyle, M.: Measuring the imperfect dot. In: IS&T's NIP16: Int. Conf. on Digital Printing Technologies, pp. 640-642 (2000)
  • 13
    • 38149128254 scopus 로고    scopus 로고
    • Minimum error contrast enhancement
    • Department of Information Technology, Lappeenranta University of Technology
    • Vartiainen, J., Paalanen, P., Kamarainen, J.K., Lensu, L., Kàlviäinen, H.: Minimum error contrast enhancement. Research report 102, Department of Information Technology, Lappeenranta University of Technology (2006)
    • (2006) Research report , vol.102
    • Vartiainen, J.1    Paalanen, P.2    Kamarainen, J.K.3    Lensu, L.4    Kàlviäinen, H.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.