A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Multirate Digital Signal Processing: Multirate Systems, Filter Banks, Wavelets
Multirate Digital Signal Processing: Multirate Systems, Filter Banks, Wavelets
Digital Image Processing
A methodology for comparing classifiers that allow the control of bias
Proceedings of the 2006 ACM symposium on Applied computing
Color Image Processing
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 tumor detection in endoscopic video using color wavelet features
IEEE Transactions on Information Technology in Biomedicine
Statistical texture characterization from discrete wavelet representations
IEEE Transactions on Image Processing
Computer-aided classification of zoom-endoscopical images using Fourier filters
IEEE Transactions on Information Technology in Biomedicine
A system for colorectal tumor classification in magnifying endoscopic NBI images
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Automated Marsh-like classification of celiac disease in children using local texture operators
Computers in Biology and Medicine
Computer Methods and Programs in Biomedicine
Mean shift-based lesion detection of gastroscopic images
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Non-invertible and revocable iris templates using key-dependent wavelet transforms
Proceedings of the first ACM workshop on Information hiding and multimedia security
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In this paper, we show that zoom-endoscopy images can be well classified according to the pit-pattern classification scheme by using texture-analysis methods in different wavelet domains. We base our approach on three different variants of the wavelet transform and propose that the color channels of the RGB and LAB color model are an important source for computing image features with high discriminative power. Color-channel information is incorporated by either using simple feature vector concatenation and cross-cooccurrence matrices in the wavelet domain. Our experimental results based on k-nearest neighbor classification and forward feature selection exemplify the advantages of the different wavelet transforms and show that color-image analysis is superior to grayscale-image analysis regarding our medical image classification problem.