Overview

Original Research

ENHANCEMENT OF MICROSCOPIC MEDICAL IMAGES USING FUZZY LOGIC APPROACH

VIDYASAGAR K.B 1, YOGISH NAIK G.R 2, and AMITH G.K 3.

Vol 18, No 06 ( 2023 )   |  DOI: 10.17605/OSF.IO/UKA3Q   |   Author Affiliation: Department of Computer Science, Kuvempu University, Shankaraghatta, Shivamogga, Karnataka, India 1,2,3.   |   Licensing: CC 4.0   |   Pg no: 1-8   |   Published on: 01-06-2023

Abstract

Poor image quality and image contrast is the challenges when the image is captured using electron microscope. The method of microscopic medical image enhancement involves enhancing an image’s characteristic to improve the image quality. Contrast enhancement is a difficult and intriguing field, fuzzy logic approach can be used to handle and control uncertainty present in the image. To provide efficient and effective framework for future research this paper focuses on fuzzy logic approach, the performance is evaluated on blood cell dataset using different quantitative measures. The fuzzy method gives better results for AMBE, Entropy and PSNR.

Keywords

Microscopic Medical Images, Adaptive Histogram Equalization (AHE), Histogram Equalization (HE), Dynamic Histogram Equalization (DHE).