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Volumn 16, Issue 2, 2002, Pages 689-692

Variable Neighborhood Search for geometrically deformable templates

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL GEOMETRY; COMPUTER SIMULATION; HEURISTIC METHODS; IMAGE QUALITY; IMAGE SEGMENTATION; OPTIMIZATION; SIMULATED ANNEALING; DEFORMATION;

EID: 1342277239     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (8)
  • 1
    • 34250830971 scopus 로고
    • Principal warps: Thin-plate splines and the decomposition of deformations
    • F. Bookstein. Principal warps: Thin-plate splines and the decomposition of deformations. IEEE Trans. Patt. Anal. Mach. Intell., 11 (6):567-585, 1989.
    • (1989) IEEE Trans. Patt. Anal. Mach. Intell. , vol.11 , Issue.6 , pp. 567-585
    • Bookstein, F.1
  • 4
    • 0001344680 scopus 로고    scopus 로고
    • An introduction to variable neighborhood search
    • S. Voss, S. Martello, I. Osman, and C. Roucairol, editors, Kluwer Academic Publishers
    • P. Hansen and N. Mladenovic. An introduction to variable neighborhood search. In S. Voss, S. Martello, I. Osman, and C. Roucairol, editors, Meta-heuristics: advances and trends in local search paradigms for optimization, pages 433-458. Kluwer Academic Publishers, 1999.
    • (1999) Meta-heuristics: Advances and Trends in Local Search Paradigms for Optimization , pp. 433-458
    • Hansen, P.1    Mladenovic, N.2
  • 6
    • 0035498046 scopus 로고    scopus 로고
    • Fast and robust optic disk detection using pyramidal decomposition and Hausdorff-based template matching
    • Nov.
    • M. Lalonde, M. Beaulieu, and L. Gagnon. Fast and robust optic disk detection using pyramidal decomposition and Hausdorff-based template matching. IEEE Trans. Med. Imaging, 20(11):1193-1200, Nov. 2001.
    • (2001) IEEE Trans. Med. Imaging , vol.20 , Issue.11 , pp. 1193-1200
    • Lalonde, M.1    Beaulieu, M.2    Gagnon, L.3
  • 8
    • 0032292399 scopus 로고    scopus 로고
    • Boundary finding with correspondence using statistical shape models
    • Santa Barbara, California
    • Y. Wang and L. Staib. Boundary finding with correspondence using statistical shape models. In Proc. Conf. Computer Vision and Pattern Recognition, pages 338-345, 1998. Santa Barbara, California.
    • (1998) Proc. Conf. Computer Vision and Pattern Recognition , pp. 338-345
    • Wang, Y.1    Staib, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.