Abstract
Enhancement of images plays significant role in certain aspects of sci- entific research. One of the main task is analyzing the abnormal features in retinal fundus image for detection of diabetic retinopathy. However, there are many techniques that have been developed and there is no proof to which technique is the most suitable for retinal fundus image. This paper intended to compare dif- ferent image enhancement techniques in order to obtain a clearer vision of the abnormal features. There are six image enhancement technique have been se- lected which are brightness enhancement, low light image, gray level slicing, me- dian filtering, unsharp masking, and CLAHE. Study for comparing these tech- niques is developed to evaluate the enhancement techniques by obtaining the per- formance metric values in terms of PNSR, MSE, NIQE and entropy. Results show that different enhancement techniques have their own advantages and in this study, CLAHE technique shows the best value for MSE performance evalu- ation.
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The authors gratefully acknowledge to the Malaysian Government for providing the financial support under Fundamental Research Grant Scheme FRGS 2019 (so code 14404), under the Ministry of Higher Education.
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Meh, N.H.B.C., Sharif, N.A.B.M., Harun, N.H.B., Embong, Z.B. (2022). Comparative Analysis of Image Enhancement Techniques Based on Fundus Image for Diabetic Retinopathy. In: Mahyuddin, N.M., Mat Noor, N.R., Mat Sakim, H.A. (eds) Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications. Lecture Notes in Electrical Engineering, vol 829. Springer, Singapore. https://doi.org/10.1007/978-981-16-8129-5_113
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