A Study on Removal and Interpolation of Outliers in Images Obtained from Flexible Cystoscope

Abstract

In examination with flexible cystoscope, medical doctors need to observe whole inner of the bladder which is broadly divided into seven parts. However, since five of the parts have no difference in shape and color, sometimes it is difficult for medical doctors to confirm that all the parts were completely observed. As the preprocessing of a system for thorough observation, we have proposed a system for estimating handling techniques of flexible cystoscope. However, the system could not estimate the handlings against noisy images obtained from the cystoscope. In this paper, we propose a method of correcting outliers in the noisy images using time-series optical flows.