A multivariate Gaussian mixture model of linear prediction error for colour texture segmentation

European Signal Processing Conference

Volumn , Issue , 2009, Pages 1537-1541

  Qazi, Imtnan Ul Haque ^a   Ghazi, Fatima ^b   Alata, Olivier ^a   Burie, J C ^c   Maloigne, C F ^a  

^a UNIVERSITÉ DE POITIERS   (France)

^b IBN TOFAIL UNIVERSITY   (Morocco)

^c UNIVERSITY OF LA ROCHELLE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

AUTO REGRESSIVE MODELS; CLASS LABELS; COLOUR SPACES; EXPECTATION MAXIMIZATION; GAUSSIAN PARAMETERS; GAUSSIAN PROBABILITY; ICM ALGORITHMS; IMAGE-BASED; LINEAR PREDICTION; LINEAR PREDICTION MODELS; MULTI-CHANNEL; MULTICHANNEL COMPLEX; MULTIVARIATE GAUSSIAN MIXTURE MODEL; NUMBER OF COMPONENTS; OBSERVATION MODEL; PREDICTION ERRORS; QUANTITATIVE RESULT; QUARTER PLANE; SECOND PHASE; SEGMENTATION ALGORITHMS; SEGMENTED IMAGES; SPATIAL VARIATIONS; TEXTURE IMAGE; TEXTURE SEGMENTATION; TRAINING DATASET;

ALGORITHMS; COLOR; IMAGE TEXTURE; SIGNAL PROCESSING; TEXTURES;

IMAGE SEGMENTATION;

EID: 77956484981     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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