Comparison of k-NN, SVM, and NN in Pit Pattern Classification of Zoom-Endoscopic Colon Images using Co-Occurrence Histograms
Michael R. Hafner, Alfred Gangl, Friedrich Wrba, K. Thonhauser, H.-P. Schmidt, Ch. Kastinger, Andreas Uhl, Andreas Vécsei · International symposium on image and signal processing and analysis/ISPA ... · 2007
Co-occurrence histograms are used as features to classify magnifying endoscope imagery with k-NN, SVM, and NN classifiers. In the k-NN classification case these histograms may improve the classification accuracy of simple 1D color histograms up to 10% in the 2 classes case and up to 5% in the 6 classes case. The classification results of SVM and NN classifiers have turned out to be non-competitive and do not improve the classification result of 1D color histograms.