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Volumn 20, Issue 9-10, 2002, Pages 725-738

An expectation-maximisation framework for segmentation and grouping

Author keywords

EM algorithm; Image segmentation; Pairwise clustering; Perceptual grouping

Indexed keywords

ALGORITHMS; COMPUTER VISION; GRAPH THEORY; ITERATIVE METHODS; PROBABILITY DISTRIBUTIONS;

EID: 0036682916     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0262-8856(02)00062-8     Document Type: Conference Paper
Times cited : (8)

References (27)
  • 2
    • 0001699291 scopus 로고
    • Training stochastic model recognition algorithms can lead to maximum mutual information estimation of parameters
    • (1990) NIPS , vol.2 , pp. 211-217
    • Bridle, J.S.1
  • 9
    • 0027420016 scopus 로고
    • Contour integration by the human visual system: Evidence for a local association field
    • (1993) Vision Research , vol.33 , Issue.2 , pp. 173-193
    • Field, D.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.