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  Published Paper Details:

  Paper Title

RETINAL IMAGE ANALYSIS FOR DIAGNOSIS OF GLAUCOMA USING ARM PROCESSOR

  Authors

  Karnika K Baraiya,  A.C. Suthar

  Keywords

Optic Cup, Optic Disc, image segmentation, Morphological Operations, blood vessels, CDR, retinal image, arm processor.

  Abstract


Glaucoma is the disease which effect on the human eye which may cause blindness if not treated properly. Glaucoma occurs due to increased pressure call Intra Ocular Pressure. The glaucoma detection will be carried out using Image Processing Methods like NFL (Nerve Fibre Layer) defects detection and texture analysis, Neuro Retina Optic Cup Detection and Image Segmentation. For the development of the system, ARM based processor and high resolution with night vision camera is used. Using camera module will capture fundus images. Image Processing algorithm will process this image further with Morphological Operation and apply various techniques for detection and correction of medical images. This research work will detect glaucoma at preliminary stages. It is helpful for medical practitioner and researchers as well as patients. This proposed method is automated, portable, cheapest and more accurate and efficient device.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2006061

  Paper ID - 195433

  Page Number(s) - 419-423

  Pubished in - Volume 8 | Issue 6 | June 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Karnika K Baraiya,  A.C. Suthar,   "RETINAL IMAGE ANALYSIS FOR DIAGNOSIS OF GLAUCOMA USING ARM PROCESSOR ", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 6, pp.419-423, June 2020, Available at :http://www.ijcrt.org/papers/IJCRT2006061.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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