Wavelet modeling using finite mixtures of generalized Gaussian distributions: Application to texture discrimination and retrieval

IEEE Transactions on Image Processing

Volumn 21, Issue 4, 2012, Pages 1452-1464

  Allili, Mohand Sad ^a  

^a UNIVERSITÉ DU QUÉBEC EN OUTAOUAIS   (Canada)

Author keywords

Image segmentation; Kullback Leibler divergence; mixture of generalized Gaussians (MoGG); texture; wavelet decomposition(KLD)

Indexed keywords

FINITE MIXTURES; GENERALIZED GAUSSIAN; GENERALIZED GAUSSIAN DISTRIBUTIONS; KULLBACK LEIBLER DIVERGENCE; MARGINAL DISTRIBUTION; MONTE CARLO SAMPLING; PERFORMANCE IMPROVEMENTS; SIMILARITY MEASURE; STATE-OF-THE-ART APPROACH; TEXTURE DATA SET; TEXTURE DISCRIMINATION; TEXTURE MODELING; WAVELET COEFFICIENTS; WAVELET MODELING;

IMAGE SEGMENTATION; MIXTURES; MONTE CARLO METHODS; WAVELET DECOMPOSITION;

TEXTURES;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; METHODOLOGY; NORMAL DISTRIBUTION; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; WAVELET ANALYSIS;

ALGORITHMS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, STATISTICAL; NORMAL DISTRIBUTION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; WAVELET ANALYSIS;

EID: 84859096106     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2011.2170701     Document Type: Article

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