Combining Gaussian Markov random fields with the discretewavelet transform for endoscopic image classification

DSP 2009: 16th International Conference on Digital Signal Processing, Proceedings

Volumn , Issue , 2009, Pages

  Hafner M ^a   Gangl, A ^a   Liedlgruber, M ^b   Uhl, A ^b   Vecsei A ^c   Wrba, F ^a  

^a MEDICAL UNIVERSITY OF VIENNA   (Austria)

^b UNIVERSITY OF SALZBURG   (Austria)

^c ST ANNA CHILDREN S HOSPITAL   (Austria)

Author keywords

Classification; Colon cancer; Colonoscopy; Markov random fields; Wavelet transform

Indexed keywords

AUTOMATED CLASSIFICATION; BAYES CLASSIFIER; CLASSIFICATION; CLASSIFICATION PERFORMANCE; CLASSIFICATION RESULTS; COLON CANCER; COLONOSCOPY; ENDOSCOPIC IMAGE; FEATURE SUBSET SELECTION; GAUSSIAN MARKOV RANDOM FIELD; K-NN CLASSIFIER; MARKOV RANDOM FIELDS; PIT PATTERNS; SUB-BANDS; WAVELET COEFFICIENTS; WAVELET DOMAIN;

CLASSIFIERS; DIGITAL SIGNAL PROCESSING; DIGITAL SIGNAL PROCESSORS; DISCRETE WAVELET TRANSFORMS; ENDOSCOPY; GAUSSIAN NOISE (ELECTRONIC); HIDDEN MARKOV MODELS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LEARNING SYSTEMS; SIGNAL PROCESSING;

FEATURE EXTRACTION;

EID: 70449558488     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDSP.2009.5201226     Document Type: Conference Paper

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