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Volumn 57, Issue , 2014, Pages 236-242

Weighted entropy for segmentation evaluation

Author keywords

Entropy; Image segmentation; Information theory

Indexed keywords

COMPUTER VISION SYSTEM; MUTUAL ENTROPY; OVER SEGMENTATION; QUANTITATIVE EVALUATION METHODS; SEGMENTATION ALGORITHMS; SEGMENTATION EVALUATION; SEGMENTATION RESULTS; SEGMENTED REGIONS;

EID: 84888299474     PISSN: 00303992     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.optlastec.2013.07.012     Document Type: Article
Times cited : (33)

References (7)
  • 1
    • 8844263763 scopus 로고    scopus 로고
    • An entropy-based objective evaluation method for image segmentation
    • Zhang H, Fritts JE, Goldman SA. An entropy-based objective evaluation method for image segmentation. In: SPIE 2004, p. 38-49.
    • (2004) SPIE , pp. 38-49
    • Zhang, H.1    Fritts, J.E.2    Goldman, S.A.3
  • 2
    • 0034850577 scopus 로고    scopus 로고
    • A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
    • Martin D, Fowlkes C, Tal D, Malik J. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In: ICCV, 2001.
    • (2001) ICCV
    • Martin, D.1    Fowlkes, C.2    Tal, D.3    Malik, J.4
  • 7
    • 84888292576 scopus 로고    scopus 로고
    • Weighted entropy-based measure for image segmentation
    • W.K. Lai, I.M. Khan, and G.S. Poh Weighted entropy-based measure for image segmentation Procedia Engineering 41 2012 1261 1267
    • (2012) Procedia Engineering , vol.41 , pp. 1261-1267
    • Lai, W.K.1    Khan, I.M.2    Poh, G.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.