Detection of Hemorrhages and Microaneurysms Using Image Processing : A Review

Authors

  • Bhushan Thakare  Department of Computer Science and Engineering, TGPCET, Nagpur, Maharashtra, India
  • Prof. Jayant Adhikari  Department of Computer Science and Engineering, TGPCET, Nagpur, Maharashtra, India

Keywords:

GLCM, Fundus, Hemorrhages, Microaneurysms

Abstract

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.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-02-28

Issue

Volume 4, Issue 6, January-February-2018

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Bhushan Thakare, Prof. Jayant Adhikari, " Detection of Hemorrhages and Microaneurysms Using Image Processing : A Review, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 6, pp.195-198, January-February-2018.