New Improved Circular -Radial Method for Correction of Misrepresentation in Endoscope Medical Images
R. Sathiya1, R. KalaiMagal2

1Mrs. R. Sathiya, Research Scholar in Computer Science, Research & Development Centre, Bharathiyar University, Coimbatore
2Dr. R. KalaiMagal, Associate Professor in Computer Science, Government Arts College for Men (Autonomous), Nandhanam, Chennai.

Manuscript received on 22 August 2019. | Revised Manuscript received on 17 September 2019. | Manuscript published on 30 September 2019. | PP: 1299-1302 | Volume-8 Issue-11, September 2019. | Retrieval Number: J9556881019/2019©BEIESP | DOI: 10.35940/ijitee.J9556.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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.
Keywords: Endoscopy, IGS, Circular Radial Correction, Distortion.
Scope of the Article: