Is a precise distortion estimation needed for computer aided celiac disease diagnosis?

Abstract

In computer aided celiac disease diagnosis, endoscopes with wide-angle lenses are deployed which induce significant lens distortions. This work investigates an approach to automatize the estimation of the lens distortion, without a previous camera calibration. Knowing the discriminative power of all sensible distortion configurations, the model parameters are estimated. As the achieved parameters are not highly precise, moreover, we investigate the effect of approximative distortion correction on the classification accuracy. Particularly, we identify one simple but especially for certain features highly effective approximative distortion model. © 2014 Springer International Publishing.