Comparison of the Fundus Image Enhancement Techniques for diagnosis Diabetic Retinopathy

Author(s)	Prof. Modi Dhaval Maheshkumar, Chauhan Janhvi Arvindbhai
Country	India
Abstract	In order to diagnose diabetic retinopathy, this paper compares various fundus image enhancing approaches. Pre-processing is necessary for medical images since they often have noise, poor contrast, and uneven illumination. Numerous methods based on the spatial domain have been developed for image enhancement. Nevertheless, these techniques typically fail to yield appropriate results for uneven lighting and a broad range of low contract. The selection of the best enhancement approach that may greatly increase the early diagnosis the diabetic retinopathy. This research compares the pre-processing of fundus images for diagnosis Diabetic Retinopathy using histogram equalization, adaptive histogram equalization, Contrast Limited Adaptive Histogram Equalization and exposure based sub-image histogram equalization approaches. The histogram, entropy, SNR, absolute mean brightness error and peak signal-to-noise ratio of fundus images are examined using Python in order to fairly evaluate these techniques.
Keywords	Diabetic retinopathy, Fundus image, Microaneurysms, Histogram equalization
Field	Engineering
Published In	Volume 4, Issue 2, March-April 2022
Published On	2022-03-03

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International Journal For Multidisciplinary Research