Fast texture segmentation model based on the shape operator and active contour

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Volumn , Issue , 2008, Pages

  Houhou, Nawal ^a   Thiran, Jean Philippe ^a   Bresson, Xavier ^b  

^a EPFL   (Switzerland)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL GEOMETRY; COMPUTER VISION; FEATURE EXTRACTION; IMAGE PROCESSING; IMAGE RETRIEVAL; IMAGE SEGMENTATION; NEURAL NETWORKS; PATTERN RECOGNITION; TEXTURES;

ACTIVE CONTOUR MODEL; ACTIVE CONTOURS; DIFFERENTIAL GEOMETRY; KULLBACK-LEIBLER DISTANCE; MODEL BASED; PROBABILITY DENSITY FUNCTIONS; REAL-WORLD; TEXTURAL IMAGES; TEXTURE DESCRIPTOR; TEXTURE SEGMENTATION; UNSUPERVISED SEGMENTATION;

PROBABILITY DENSITY FUNCTION;

EID: 51949103956     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587449     Document Type: Conference Paper

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