Unsupervised color image segmentation using compound Markov random field model

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5909 LNCS, Issue , 2009, Pages 291-296

  Panda, Sucheta ^a   Nanda, P K ^b  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^b C V RAMAN COLLEGE OF ENGINEERING   (India)

Author keywords

Color Image; Color Model; MRF model; Segmentation; Simulated Annealing

Indexed keywords

COLOR IMAGE; COLOR IMAGE SEGMENTATION; COLOR IMAGES; COLOR MODEL; COLOR MODELS; COLOR PLANES; HOMOTOPY CONTINUATION METHODS; HYBRID ALGORITHMS; MARKOV RANDOM FIELD MODEL; MARKOV RANDOM FIELDS; MAXIMUM A POSTERIORI CRITERIA; MISCLASSIFICATION ERROR; MODEL PARAMETER ESTIMATION; MODEL PARAMETERS; PSEUDO-LIKELIHOOD; SEGMENTATION ACCURACY;

COLOR; COLOR IMAGE PROCESSING; DIGITAL IMAGE STORAGE; IMAGE SEGMENTATION; LABELS; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION; PATTERN RECOGNITION; STRUCTURAL FRAMES;

SIMULATED ANNEALING;

EID: 76249099012     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-11164-8_47     Document Type: Conference Paper

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