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Volumn , Issue , 2009, Pages 165-168

Semantic relevance of current image segmentation algorithms

Author keywords

[No Author keywords available]

Indexed keywords

CURRENT IMAGE; IMAGE PATCHES; MANUAL ANNOTATION; MANUAL CLASSIFICATION; MEAN SHIFT; NORMALIZED CUTS; SEGMENTATION ALGORITHMS; SEMANTIC RELEVANCE; STATISTICAL PATTERN RECOGNITION; VISUAL FEATURE EXTRACTION;

EID: 70349286658     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WIAMIS.2009.5031458     Document Type: Conference Paper
Times cited : (2)

References (8)
  • 5
    • 0027697605 scopus 로고
    • An optimal graph theoretic approach to data clustering: Theory and its application to image segmentation
    • Nov.
    • Z. Wu, R. Leahy, "An Optimal Graph Theoretic Approach to Data Clustering: Theory and its Application to Image Segmentation", IEEE Trans. Pattern Analysis and Machine Intelligence, vol.15, no.11, pp. 1101-1113, Nov. 1993.
    • (1993) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.15 , Issue.11 , pp. 1101-1113
    • Wu, Z.1    Leahy, R.2
  • 7
    • 0032141691 scopus 로고    scopus 로고
    • New algorithms for 2D and 3D point matching: Pose estimation and correspondence
    • S. Gold, A. Rangarajan, C.-P. Lu, S. Pappu and E. Mjolsness, "New Algorithms for 2D and 3D Point Matching: Pose Estimation and Correspondence", Pattern Recognition, vol.31, no.8, 1998.
    • (1998) Pattern Recognition , vol.31 , Issue.8
    • Gold, S.1    Rangarajan, A.2    Lu, C.-P.3    Pappu, S.4    Mjolsness, E.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.