New improved circular-radial method for correction of misrepresentation in endoscope medical images

Abstract

Endoscope Medical Images are distress from a spatial misrepresentation due to the wide-angle nature of the endoscope's neutral lens. This change in the size of objects with position prevents numerical measurement of the area of the objects, which is important in endoscopy for accurately measuring sore and wound sizes over time. A method for correcting the misrepresentation characteristic of endoscope images is presented. Circular –Radial correction formula was developed for the endoscope lens and validated by comparing quantitative test areas before and after the misrepresentation correction. The misrepresentation correction has been incorporated into a computer program that could readily be applied to electronic images obtained at endoscopy using a desktop computer. The research presented here is a key step towards the quantitative determination of the area of regions of interest in endoscopy. In this paper, a model for correction of misrepresentation in endoscope image is proposed. The definition of optical misrepresentation is described briefly and the theory of correction of misrepresentation using Circular Radial consisting of solid circles is presented. Three steps are used for correction, including pre-processing of grid image, correction of spatial misrepresentation and reconstruction of gray level. Finally, the corrected results are given to demonstrate the performance and validity of correction algorithm with standard calibration grid. • Circular –Radial correction formula was developed for the endoscope lens and validated by comparing quantitative test areas before and after the misrepresentation correction. • The research presented here is a key step towards the quantitative determination of the area of regions of interest in endoscopy. • Finally, the corrected results are given to demonstrate the performance and validity of correction algorithm with standard calibration grid.