메뉴 건너뛰기




Volumn , Issue , 2007, Pages 919-924

Medical image thresholding algorithm based on fuzzy sets theory

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FUZZY SETS; IMAGE QUALITY;

EID: 35248879750     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIEA.2007.4318543     Document Type: Conference Paper
Times cited : (11)

References (12)
  • 1
    • 0035501797 scopus 로고    scopus 로고
    • Unimodal thresholding
    • Nov
    • P.L. Rosin, "Unimodal thresholding," Pattern Recognition, vol.34, pp.2083-2096, Nov. 2001
    • (2001) Pattern Recognition , vol.34 , pp. 2083-2096
    • Rosin, P.L.1
  • 2
    • 0037345020 scopus 로고    scopus 로고
    • Fast image thresholding by finding the zero(s) of the first derivative of between-class variance
    • K.C. Lin, "Fast image thresholding by finding the zero(s) of the first derivative of between-class variance," Mach.Vis.Appl. 13 (5-6), pp. 254-262. 2003.
    • (2003) Mach.Vis.Appl , vol.13 , Issue.5-6 , pp. 254-262
    • Lin, K.C.1
  • 3
    • 0037410624 scopus 로고    scopus 로고
    • Real-time thresholding with Euler numbers
    • L. Snidaro, G.L. Foresti, "Real-time thresholding with Euler numbers," Pattern Recognition Lett. Vol.24 (9-10), pp.1543-1554, 2003.
    • (2003) Pattern Recognition Lett , vol.24 , Issue.9-10 , pp. 1543-1554
    • Snidaro, L.1    Foresti, G.L.2
  • 4
    • 1842422015 scopus 로고    scopus 로고
    • Survey over image thresholding techniques andquantitati ve performance evaluation
    • Jun
    • B. Sankur, M. Sezgin, "Survey over image thresholding techniques andquantitati ve performance evaluation," Electron. Imaging vol.13, pp.146-165, Jun.2004.
    • (2004) Electron. Imaging , vol.13 , pp. 146-165
    • Sankur, B.1    Sezgin, M.2
  • 5
    • 0028867982 scopus 로고
    • Image thresholding by minimizing the measure of fuzziness
    • L.K. Huang, M.J. Wang, "Image thresholding by minimizing the measure of fuzziness," Pattern Recognition,vol.28, pp.41-51, 1995.
    • (1995) Pattern Recognition , vol.28 , pp. 41-51
    • Huang, L.K.1    Wang, M.J.2
  • 6
    • 25144508167 scopus 로고    scopus 로고
    • On thresholding and potentials of fuzzy techniques
    • R. Kruse, J. Dassow Eds, Springer, Heidelberg, Berlin, in German
    • H.R. Tizhoosh, "On thresholding and potentials of fuzzy techniques," in: R. Kruse, J. Dassow (Eds.), Informatik'98, Springer, Heidelberg, Berlin, 1998, pp. 97-106, (in German).
    • (1998) Informatik'98 , pp. 97-106
    • Tizhoosh, H.R.1
  • 7
    • 2442599031 scopus 로고    scopus 로고
    • Threshold selection using fuzzy set theory
    • Mar
    • Tamalika Chaira, A.K. Ray, "Threshold selection using fuzzy set theory" Pattern Recognition Letters.vol.25, pp.865-874, Mar.2004.
    • (2004) Pattern Recognition Letters , vol.25 , pp. 865-874
    • Tamalika Chaira, A.K.R.1
  • 9
    • 25144478505 scopus 로고    scopus 로고
    • Image thresholding using type II fuzzy sets
    • February
    • HamidR. Tizhoosh, "Image thresholding using type II fuzzy sets," Pattern Recognition,vol.38,pp.2363-2372, February 2005.
    • (2005) Pattern Recognition , vol.38 , pp. 2363-2372
  • 11
    • 0015558134 scopus 로고    scopus 로고
    • Zadeh, L.A., Outline of a new approach to the analysis of complex systems and decision processes, IEEE Trans. Sys. Man and Cyber., SMC-3, pp.29-44,1973.
    • Zadeh, L.A., "Outline of a new approach to the analysis of complex systems and decision processes," IEEE Trans. Sys. Man and Cyber., SMC-3, pp.29-44,1973.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.