Glaucoma detection by image fusion from fundus color retinal images: A review

K. M. Deepashri, K. V. Santhosh

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Glaucoma is a group of ocular diseases resulting serious visual consequences. The common traits are high eye pressure, damage to the Optic Nerve Head and gradual vision loss. It affects peripheral vision and leads to permanent blindness if not detected in early stages. Various medical imaging techniques are used to diagnose glaucoma by ophthalmologists like Scanning Laser Ophthalmoscope (SLO) and Optical Coherence Tomography OCT. These techniques are costly and time consuming. The presented review article here discusses the different automated techniques developed for the glaucoma detection. Here we discuss the automated method which is independent of image quality and invariant to noise to screen glaucoma.

Original languageEnglish
Pages (from-to)1147-1152
Number of pages6
JournalInternational Journal of Control Theory and Applications
Issue number3
Publication statusPublished - 2015

All Science Journal Classification (ASJC) codes

  • General Computer Science


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