Detection of Hemorrhages and Microaneurysms for Color Fundus images: A Review

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Sana Afreen Adbul Farooque, Prof. Pravin Lakhe, Prof. P. D. Bhirange


Here we address the study on detection of Hemorrhages and microaneurysms in color fundus images. In pre-Processing we find different separate red, green, blue color channel from the retinal images. The green channel will pass to the further process. The green color plane was used in the analysis since it shows the best contrast between the vessels and the background retina. Then we extract the GLCM(Gray Level Co-Occurance Matrix) feature. We made a survey of different author who have done their work in this field. We also compare the different data mining techniques that are required to perform detection in proper way.

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How to Cite
, S. A. A. F. P. P. L. P. P. D. B. “Detection of Hemorrhages and Microaneurysms for Color Fundus Images: A Review”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 6, no. 1, Jan. 2018, pp. 192-4, doi:10.17762/ijritcc.v6i1.1407.