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
Automatic real-time detection of endoscopic procedures using temporal features
Computer Methods and Programs in Biomedicine
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This paper presents a comparison of texture based and color and position based methods for polyp detection in endoscopic video images.Two methods for texture feature extraction that presented good results in previous studies were implemented and their performance is compared against a simple combination of color and position features. Although this more simple approach produces a much higher number of features than the other approaches, a SVM with a RBF kernel is able to deal with this high dimensional input space and it turns out that it outperforms the previous approaches on the experiments performed in a database of 4620 images from endoscopic video.