An improved luminosity and contrast enhancement framework for feature preservation in color fundus images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://link.springer.com/content/pdf/10.1007/s11760-018-1401-y.pdf
Reference28 articles.
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3. Davis, H., Russell, S., Barriga, E., Abramoff, M., Soliz, P.: Vision-based real-time retinal image quality assessment. In: IEEE International Symposium on Computer-Based Medical Systems, pp. 1–6 (2009)
4. Soomro, T.A., Gao, J., Khan, M.A.U., Khan, T.M., Paul, M.: Role of image contrast enhancement technique for ophthalmologist as diagnostic tool for diabetic retinopathy. In: International Conference on Digital Image Computing: Techniques and Applications (DICTA), pp. 1–8. IEEE (2016)
5. Hani, A.F.M., Soomro, T.A., Faye, I., Kamel, N., Yahya, N.: Denoising methods for retinal fundus images. In: 5th International Conference on Intelligent and Advanced Systems (ICIAS), pp. 1–6. IEEE (2014)
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