Stabilization of endoscopic videos using camera path from global motion vectors

Many algorithms for video stabilization have been proposed so far. However, not many digital video stabilization procedures for endoscopic videos are discussed. Endoscopic videos contain immense shakes and distortions as a result of some internal factors like body movements or secretion of body fluids as well as external factors like manual handling of endoscopic devices, introduction of surgical devices into the body, luminance changes etc.. The feature detection and tracking approaches that successfully stabilize the non-endoscopic videos might not give similar results for the endoscopic videos due to the presence of these distortions. Our focus of research includes developing a stabilization algorithm for such videos. This paper focusses on a special motion estimation method which uses global motion vectors for tracking applied to different endoscopic types (while taking into account the endoscopic region of interest). It presents a robust video processing and stabilization technique that we have developed and the results of comparing it with the state-of-the-art video stabilization tools. Also it discusses the problems specific to the endoscopic videos and the processing techniques which were necessary for such videos unlike the real-world videos.