Maximum likelihood neural network based on the correlation among neighboring pixels for noisy image segmentation

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2008, Pages 3020-3023

  Nguyen, Thanh Minh ^a   Wu, Q M Jonathan ^a  

^a UNIVERSITY OF WINDSOR   (Canada)

Author keywords

Maximum likelihood; Neural network; Noisy image segmentation; Standard Gaussian mixture model

Indexed keywords

CONDITIONAL DENSITY FUNCTION; ERROR BACK PROPAGATION; EXPECTATION-MAXIMIZATION ALGORITHMS; GAUSSIAN MIXTURE MODEL; IN-BUILDINGS; MARKOV RANDOM FIELDS; MIXTURE MODEL; NOISY IMAGE; NOISY IMAGE SEGMENTATION; POSTERIOR PROBABILITY; PRIOR PROBABILITY;

BACKPROPAGATION ALGORITHMS; BLIND SOURCE SEPARATION; COMMUNICATION CHANNELS (INFORMATION THEORY); DIGITAL IMAGE STORAGE; HIDDEN MARKOV MODELS; IMAGE SEGMENTATION; IMAGING SYSTEMS; MAXIMUM LIKELIHOOD; MIXTURES; NEURAL NETWORKS; PROBABILITY; PROBABILITY DENSITY FUNCTION; STANDARDS;

PIXELS;

EID: 69949160723     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2008.4712431     Document Type: Conference Paper

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