Automation of OPG image segmentation

Abstract: OPG images are critical for diagnosis and study of disease. It is hard to detect affected area by viewing/seeing the x-ray image. So patient has to go with different test to get that affected area which takes few days for processing. Again to detect it has to concern with the specialist and the other procedure. This process is expensive which cannot afford by economically weak people. Manual segmentation of OPG is not only demanding for experts but also inherently subjective and excessively time consuming for clinical use and different annotators often yield different results. To address these difficulties, different approaches for automated segmentation of OPG have been tried with varying levels of success. So this paper aims to provision of s/w or tool for segmenting the affected area may become a good solution which is economically feasible.

Keywords: Diagnosis, OPG, Processing, Subjective, X-ray