A novel filterbank especially designed for the classification of colonic polyps
Georg Wimmer, Andreas Uhl, Michael R. Hafner · 2016
This work proposes a filter bank based texture analysis method and applies it for the classification of colonic polyps. The filter masks of the filter bank are especially designed to enable a distinction between different types of polyps. The filter bank consists of four types of filters, where each filter is based on the Gaussian distribution respectively derivatives of the Gaussian distribution. Three of the four types of filters are directional sensitive. To achieve rotation invariance, only the maximum and minimum filter responses are accounted over differently oriented version of the directional filters. The final feature vector consists of the histograms over the filter responses. The method is tested on eight HD-endoscopic image databases. Five state-of-the-art approaches are additionally applied to the databases to compare their results with those of our filter bank approach. Experiments show that our proposed method clearly outperforms the state-of-the art approaches.