Image thresholding using a novel estimation method in generalized Gaussian distribution mixture modeling

Neurocomputing

Volumn 72, Issue 1-3, 2008, Pages 500-512

  Fan, Shu Kai S ^a   Lin, Yen ^a   Wu, Chia Chan ^a  

^a YUAN ZE UNIVERSITY   (Taiwan)

Author keywords

Entropy matching estimator (EME); Generalized Gaussian distribution (GGD); Image thresholding; Particle swarm optimization (PSO); Shape parameter

Indexed keywords

ARTIFICIAL INTELLIGENCE; ELECTROMAGNETIC DISPERSION; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); IMAGE PROCESSING; IMAGE SEGMENTATION; MIXTURES; OPTIMIZATION; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS; TRELLIS CODES;

BACKGROUND INFORMATIONS; COMPUTATIONAL INTELLIGENCES; EMPIRICAL DISTRIBUTIONS; ENTROPY MATCHING; ENTROPY MATCHING ESTIMATOR (EME); ESTIMATION METHODS; EXPERIMENTAL STUDIES; GENERALIZED GAUSSIAN DISTRIBUTION (GGD); GENERALIZED GAUSSIAN DISTRIBUTIONS; IMAGE INTENSITIES; IMAGE THRESHOLDING; MIXTURE MODELS; NON-GAUSSIAN; OPTIMAL PARAMETERS; PROCESS SIGNALS; SHAPE PARAMETER; SHAPE PARAMETERS; STATISTICAL BEHAVIORS; STATISTICAL COMPUTATIONS; STATISTICAL MODELS; THRESHOLDING;

PARTICLE SWARM OPTIMIZATION (PSO);

ALGORITHM; ARTICLE; IMAGE PROCESSING; NORMAL DISTRIBUTION; PRIORITY JOURNAL; PROBABILITY; PROCESS DEVELOPMENT; QUALITY CONTROL; SIGNAL DETECTION;

EID: 55949113002     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2007.12.015     Document Type: Article

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