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Volumn , Issue , 2009, Pages

Interactive texture segmentation using random forests and total variation

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; IMAGE DENOISING;

EID: 84898911563     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.23.66     Document Type: Conference Paper
Times cited : (30)

References (30)
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    • Local figure-ground cues are valid for natural images
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    • C. Fowlkes, D. Martin, and J. Malik. Local figure-ground cues are valid for natural images. Journal of Vision, 7(8):2, 1-9, 2007.
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    • Image segmentation based on grabcut framework integrating multi-scale nonlinear structure tensor
    • S. Han, W. Tao, D.-S. Wang, X.-C. Tai, and X. Wu. Image segmentation based on Grabcut framework integrating multi-scale nonlinear structure tensor. UCLA CAM Report 09-14, 2009.
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    • Nonlinear total variation based noise removal algorithms
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    • Texture image segmentation: An interactive framework based on adaptive features and transductive learning
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.