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Volumn 3691 LNCS, Issue , 2005, Pages 441-448

Supervised texture detection in images

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; GRAPH THEORY; IMAGE SEGMENTATION;

EID: 33646153541     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11556121_54     Document Type: Conference Paper
Times cited : (9)

References (15)
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  • 3
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    • Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images
    • Y. Boykov and M.-P. Jolly. Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images. In Proc. ICCV, pages 105-112, 2001.
    • (2001) Proc. ICCV , pp. 105-112
    • Boykov, Y.1    Jolly, M.-P.2
  • 4
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    • An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision
    • Y. Boykov and V. Kolmogorov. An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. PAMI, 26(9): 1124-1137, 2004.
    • (2004) PAMI , vol.26 , Issue.9 , pp. 1124-1137
    • Boykov, Y.1    Kolmogorov, V.2
  • 5
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    • Contour and texture analysis for image segmentation
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  • 7
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    • Learning to detect natural image boundaries using local brightness, color, and texture cues
    • D. R. Martin, C. C. Fowlkes, and J. Malik. Learning to detect natural image boundaries using local brightness, color, and texture cues. PAMI, 26(5):530-549, 2004.
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  • 9
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  • 10
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    • Geodesic active regions and level set methods for supervised texture segmentation
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  • 11
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.