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Volumn 12, Issue 10, 2003, Pages 1153-1169

Performance Evaluation of Finite Normal Mixture Model-Based Image Segmentation Techniques

Author keywords

Finite normal mixture; Image segmentation; Model parameter estimation; Pixel classification; Region detection

Indexed keywords

ALGORITHMS; ASYMPTOTIC STABILITY; CLASSIFICATION (OF INFORMATION); ERROR CORRECTION; MOTION ESTIMATION; PROBABILITY;

EID: 0141919511     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2003.817251     Document Type: Article
Times cited : (29)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.