Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Contrast limited adaptive histogram equalization
Graphics gems IV
Digital Image Processing
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Pit Pattern Classification of Zoom-Endoscopical Colon Images Using DCT and FFT
CBMS '07 Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems
Computer-aided classification of zoom-endoscopical images using Fourier filters
IEEE Transactions on Information Technology in Biomedicine
Automated Marsh-like classification of celiac disease in children using local texture operators
Computers in Biology and Medicine
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Feature extraction techniques based on selection of highly discriminant Fourier filters have been developed for an automated classification of magnifying endoscope images with respect to pit patterns of colon lesions. These are applied to duodenal imagery for diagnosis of celiac disease. Features are extracted from the Fourier domain by selecting the most discriminant features using an evolutionary algorithm. Subsequent classification is performed with various standard algorithms (KNN, SVM, Bayes classifier) and combination of several Fourier filters and classifiers which is called multiclassifier. The obtained results are promising, due to a high specificity for the detection of mucosal damage typical of untreated celiac disease.