Improved Oct Image Enhancement using Clahe
Saya Nandini Devi M1, Santhi S2
1Saya Nandini Devi M, Research Scholar, Department of Electronics and Instrumentation Engineering, Annamalai University, Chidambaram-608002, India.
2Santhi S, Department of Electronics and Instrumentation Engineering, Annamalai University, Chidambaram-608002, India.
Manuscript received on 21 August 2019. | Revised Manuscript received on 11 September 2019. | Manuscript published on 30 September 2019. | PP: 1351-1355 | Volume-8 Issue-11, September 2019. | Retrieval Number: J96680881019/2019©BEIESP | DOI: 10.35940/ijitee.J9668.0981119
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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: Medical image processing is a challenging research field, since most captured images suffer from noise and poor contrast nature. The accuracy of details present in the medical image depends entirely on the captured image quality. The factor that affects the quality of the images includes poor illumination conditions, capturing devices and inexperienced technicians that may result in low contrast images. Hence, contrast enhancement techniques are necessary to improve the quality of OCT images for further processing. In this paper, the enhancement of OCT images is carried out using various enhancement techniques to identify the method that offers improvement in the enhancement quality of the image. It presents a comparative evaluation of enhancement techniques based on the performance indices calculated from the experimental results. The results of this research work suggest the better enhancement technique suitable for OCT images depending on the various performance metrics used prominently in medical imaging.
Keywords: OCT images, Image Enhancement Metrics, Image Quality Assessment
Scope of the Article: Image Processing and Pattern Recognition