An Enhanced Method for Retinal Image Analysis Using Image Processing Techniques

Authors

  • Patel Vandanabahen Gopalbhai  Research Scholar, Department of Computer Science H.N.G.U University, Patan, Gujarat, India
  • Dr. Jayesh N. Modi  PhD, Department of Computer Science, Hemchandracharya North Gujarat University, Patan, Gujarat, India

Keywords:

Automated Retinal Screening Systems, Retinal Picture Quality Evaluation, And Biomedical Imaging.

Abstract

A wide-ranging, routine screening of the enormous numbers of potential ocular patients is made possible by automatic retinal screening systems (ARSS), which only offer professional treatment when early disease signs are identified. Serious vision impairments brought on by extensive disease progressions of silent retinal illnesses, such as diabetic retinopathy, can be avoided or delayed with early identification and appropriate treatment. However, it was discovered that the calibre of the retinal pictures that were processed had a significant impact on how reliable these systems were. This thesis presents a no-reference comprehensive wavelet-based retinal image quality assessment (RIQA) method for ARSS-based early detection of diabetic retinopathy.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-03-25

Issue

Volume 9, Issue 7, March-April-2023

Section

Research Articles

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Creative Commons License

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

How to Cite

[1]
Patel Vandanabahen Gopalbhai, Dr. Jayesh N. Modi, " An Enhanced Method for Retinal Image Analysis Using Image Processing Techniques" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 7, pp.485-491, March-April-2023.