Robust unsupervised segmentation of degraded document images with topic models

2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009

Volumn , Issue , 2009, Pages 1287-1294

  Burns, Timothy J ^a   Corso, Jason J ^a  

^a the State University of New York   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; EXTRACTION; HEURISTIC METHODS; MAGNETORHEOLOGICAL FLUIDS; POTTS MODEL;

ANALYSIS-BY-SYNTHESIS APPROACH; BAYESIAN GENERATIVE MODELS; CODEBOOK LEARNING; DEGRADED DOCUMENT IMAGES; MEASURING ACCURACY; PROBABILISTIC REPRESENTATION; SEGMENTATION RESULTS; UNSUPERVISED SEGMENTATION;

IMAGE SEGMENTATION;

EID: 70450191271     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2009.5206606     Document Type: Conference Paper

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