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Volumn , Issue , 2008, Pages 495-499
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Unsupervised image sequence segmentation based on hidden Markov tree model
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Author keywords
Hidden Markov tree model; Image sequence segmentation; Tobacco leaves; Wavelet domain
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Indexed keywords
DISCRETE WAVELET TRANSFORMS;
ELECTRIC FAULT CURRENTS;
IMAGE SEGMENTATION;
LIGHT MEASUREMENT;
MARKOV PROCESSES;
MAXIMUM LIKELIHOOD;
WAVELET TRANSFORMS;
WHITE NOISE;
A-PRIORI;
BOUNDARY INFORMATION;
CLASSIFICATION ACCURACIES;
CONTEXT INFORMATION;
DISCRETE-WAVELET-TRANSFORM;
EXPECTATION-MAXIMIZATION ALGORITHMS;
GAUSSIAN WHITE-NOISE;
HIDDEN MARKOV TREE MODEL;
HIDDEN MARKOV TREE MODELS;
IMAGE SEQUENCE SEGMENTATION;
IMAGE SEQUENCING;
LEAF IMAGES;
MODEL PARAMETERS;
PROBABILISTIC GRAPHS;
REGION INFORMATION;
SEGMENTATION METHODS;
SIMULATION RESULTS;
STATISTICAL INFORMATION;
TOBACCO LEAVES;
WAVELET COEFFICIENTS;
WAVELET DOMAIN;
WAVELET DOMAINS;
TREES (MATHEMATICS);
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EID: 52449084214
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/CHICC.2008.4605142 Document Type: Conference Paper |
Times cited : (2)
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References (11)
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