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Volumn 1, Issue , 2008, Pages 365-374

Mean shift segmentation evaluation of optimization techniques

Author keywords

Evaluation; Mean shift; Optimization; Segmentation

Indexed keywords

CLUSTERING ALGORITHMS; COMPUTATIONAL METHODS; COMPUTER VISION; DATA STRUCTURES; DIGITAL IMAGE STORAGE; FEATURE EXTRACTION; FILE ORGANIZATION; HEURISTIC ALGORITHMS; HEURISTIC METHODS; IMAGE PROCESSING; IMAGE SEGMENTATION; OPTIMIZATION; VECTOR QUANTIZATION;

EID: 57349195154     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (19)
  • 1
    • 45549097335 scopus 로고    scopus 로고
    • High Dynamic Range Images as a Basis for Detection of Argyrophilic Nucleolar Organizer Regions Under Varying Stain Intensities
    • Bell, A. A., Kaftan, J. N., Aach, T., Meyer-Ebrecht, D., and Böcking, A. (2006). High Dynamic Range Images as a Basis for Detection of Argyrophilic Nucleolar Organizer Regions Under Varying Stain Intensities. In IEEE International Conference on Image Processing. ICIP 2006, pages 2541-2544.
    • (2006) IEEE International Conference on Image Processing. ICIP , pp. 2541-2544
    • Bell, A.A.1    Kaftan, J.N.2    Aach, T.3    Meyer-Ebrecht, D.4    Böcking, A.5
  • 2
    • 27844486093 scopus 로고    scopus 로고
    • Toward a generic evaluation of image segmentation
    • Cardoso, J. and Corte-Real, L. (2005). Toward a generic evaluation of image segmentation. IEEE Transactions on Image Processing, 14(11): 1773-1782.
    • (2005) IEEE Transactions on Image Processing , vol.14 , Issue.11 , pp. 1773-1782
    • Cardoso, J.1    Corte-Real, L.2
  • 9
    • 0016421071 scopus 로고
    • The Estimation of the Gradient of a Density Function, with Applications in Pattern Recognition
    • Fukunaga, K. and Hostetler, L. D. (1975). The Estimation of the Gradient of a Density Function, with Applications in Pattern Recognition. IEEE Transactions on Information Theory, 21(1):32-40.
    • (1975) IEEE Transactions on Information Theory , vol.21 , Issue.1 , pp. 32-40
    • Fukunaga, K.1    Hostetler, L.D.2
  • 14
    • 0002719797 scopus 로고
    • The Hungarian method for the assignment problem
    • Kuhn, H. W. (1955). The Hungarian method for the assignment problem. Naval Research Logistic Quarterly, 2:83-97.
    • (1955) Naval Research Logistic Quarterly , vol.2 , pp. 83-97
    • Kuhn, H.W.1
  • 15
    • 0003840341 scopus 로고    scopus 로고
    • Columbia Object Image Library (COIL-100)
    • Technical report, Computer Vision Laboratory, Columbia University
    • Nene, S., Nayar, S., and Murase, H. (1996a). Columbia Object Image Library (COIL-100). Technical report, Computer Vision Laboratory, Columbia University.
    • (1996)
    • Nene, S.1    Nayar, S.2    Murase, H.3
  • 16
    • 0003840341 scopus 로고    scopus 로고
    • Columbia Object Library (COIL-20)
    • Technical report, Computer Vision Laboratory, Columbia University
    • Nene, S., Nayar, S., and Murase, H. (1996b). Columbia Object Library (COIL-20). Technical report, Computer Vision Laboratory, Columbia University.
    • (1996)
    • Nene, S.1    Nayar, S.2    Murase, H.3
  • 18
    • 57349123200 scopus 로고    scopus 로고
    • Suri, J. S., Setarehdan, S. K., and Singh (Eds), S. (2002). Advanced Algorithmic Approaches to Medical Image Segmentation. Springer.
    • Suri, J. S., Setarehdan, S. K., and Singh (Eds), S. (2002). Advanced Algorithmic Approaches to Medical Image Segmentation. Springer.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.