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Volumn , Issue , 2011, Pages 291-298

GPU implementation of a region based algorithm for large images segmentation

Author keywords

GPU; Segmentation; Snake

Indexed keywords

GRAPHICS PROCESSING UNIT;

EID: 80054996073     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIT.2011.60     Document Type: Conference Paper
Times cited : (8)

References (9)
  • 2
    • 0033220860 scopus 로고    scopus 로고
    • Statistical region snake-based segmentation adapted to different physical noise models
    • C. Chesnaud, P. Ŕefŕegier, and V. Boulet, "Statistical region snake-based segmentation adapted to different physical noise models, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 21, no. 11, pp. 1145-1157, 1999.
    • (1999) IEEE Trans. Pattern Anal. Mach. Intell. , vol.21 , Issue.11 , pp. 1145-1157
    • Chesnaud, C.1    Ŕefŕegier, P.2    Boulet, V.3
  • 6
    • 70350439276 scopus 로고    scopus 로고
    • Cellular automaton for ultra-fast watershed transform on gpu
    • C. Kauffmann and N. Piche, "Cellular automaton for ultra-fast watershed transform on gpu, " in ICPR, 2008, pp. 1-4.
    • (2008) ICPR , pp. 1-4
    • Kauffmann, C.1    Piche, N.2
  • 8
    • 36048930867 scopus 로고    scopus 로고
    • 1st ed. Addison-Wesley Professional, ch. 39 - Parallel Prefix Sum with CUDA
    • M. Harris, S. Sengupta, and J. D. Owens, Gpu gems 3, 1st ed. Addison-Wesley Professional, 2007, ch. 39 - Parallel Prefix Sum with CUDA.
    • (2007) Gpu Gems 3
    • Harris, M.1    Sengupta, S.2    Owens, J.D.3
  • 9


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.