Statistical analysis of the impact of distortion (correction) on an automated classification of celiac disease

Abstract

In this work we investigate the impact of barrel-type distortions and distortion correction on an automated classification of endoscopic imagery. For this purpose we use a set of methods from earlier work along with the nearest neighbor classifier on endoscopic images which are distorted in a barrel-type fashion. In addition we classify images after applying distortion correction to them.