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Volumn 39, Issue 8, 2001, Pages 1789-1798

Multisensor image segmentation using Dempster-Shafer fusion in Markov fields context

Author keywords

Bayesian segmentation; Data fusion; Dempster Shafer combination rule; Generalized mixture estimation; Hidden Markov Fields (HMF); Iterative conditional estimation ICE; Multisensor image segmentation; Theory of evidence

Indexed keywords

COMPUTER SIMULATION; MARKOV PROCESSES; RADAR; SENSOR DATA FUSION;

EID: 0035442720     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/36.942557     Document Type: Article
Times cited : (95)

References (44)
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    • Some aspects of Dempster-Shafer evidence theory for classification of multi-modality medical images taking partial volume effect into account
    • (1996) Pattern Recognit. Lett. , Issue.17 , pp. 905-919
    • Bloch, I.1
  • 30
  • 36
    • 0003106837 scopus 로고
    • Belief functions: The disjunctive rule of combination and the generalized Bayesian theorem
    • (1993) Int. J. Approx. Reas. , vol.9 , pp. 1-35


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.