Studying digital imagery of ancient paintings by mixtures of stochastic models

IEEE Transactions on Image Processing

Volumn 13, Issue 3, 2004, Pages 340-353

  Li, Jia ^a   Wang, James Z ^b  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b The Pennsylvania State University   (United States)

Author keywords

2 D multiresolution hidden Markov model; Art painting; Image classification; Image retrieval; Mixture of stochastic models

Indexed keywords

COLOR IMAGE PROCESSING; IMAGE ANALYSIS; IMAGE SEGMENTATION; MARKOV PROCESSES; MATHEMATICAL MODELS;

ART PAINTINGS; IMAGE CLASSIFICATION; MULTIRESOLUTION HIDDEN MARKOV MODEL;

IMAGE RETRIEVAL;

ALGORITHM; ARCHEOLOGY; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER GRAPHICS; COMPUTER SIMULATION; CULTURAL ANTHROPOLOGY; DOCUMENTATION; EVALUATION; FACTUAL DATABASE; HYPERMEDIA; IMAGE ENHANCEMENT; INFORMATION CENTER; INFORMATION RETRIEVAL; INTERNET; METHODOLOGY; PAINTING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL MODEL; STATISTICS; VALIDATION STUDY;

ABSTRACTING AND INDEXING; ALGORITHMS; ARCHAEOLOGY; ARCHIVES; COMPUTER GRAPHICS; COMPUTER SIMULATION; CULTURE; DATABASES, FACTUAL; HYPERMEDIA; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; INTERNET; MODELS, STATISTICAL; PAINTINGS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; STOCHASTIC PROCESSES;

EID: 1942517858     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2003.821349     Document Type: Article

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