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Volumn , Issue , 2010, Pages 270-275

A Markov random field description of fuzzy color segmentation

Author keywords

Color segmentation; Fuzzy clustering; Iterated conditional modes; Markov random field

Indexed keywords

COLOR CHARACTERISTICS; COLOR IMAGE SEGMENTATION; COLOR INFORMATION; COLOR QUANTIZATION; COLOR SEGMENTATION; COMPUTER VISION APPLICATIONS; DATA SETS; FUZZY CLASSIFIERS; ITERATED CONDITIONAL MODES; ITERATIVE STRATEGY; LAB COLOR SPACE; MARKOV RANDOM FIELDS; OVER SEGMENTATION; STATE-OF-THE-ART SYSTEM;

EID: 78049522606     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPTA.2010.5586796     Document Type: Conference Paper
Times cited : (2)

References (22)
  • 14
  • 15
    • 0041941135 scopus 로고    scopus 로고
    • Learning affinity functions for image segmentation: Combining patch-based and gradient-based approaches
    • C. Fowlkes, D. Martin, and J. Malik. Learning affinity functions for image segmentation: combining patch-based and gradient-based approaches. Conf. on Computer Vision and Pattern Recognition (CVPR), pages 54-61, 2003.
    • (2003) Conf. on Computer Vision and Pattern Recognition (CVPR) , pp. 54-61
    • Fowlkes, C.1    Martin, D.2    Malik, J.3
  • 16


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.