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Automated Detection of Optic Disc Location in Retinal Images using Histogram Matching

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  • Rachana k
  • Ashwini H
  • Navya N V

Abstract

In this article, we propose a new method for localizing optic disc in retinal images. Localizing the optic disc and its center is the first step of most vessel segmentation, disease diagnostic, and retinal recognition algorithms. We use optic disc of the first four retinal images in DRIVE dataset to extract the histograms of each color component. Then, we calculate the average of histograms for each color as template for localizing the center of optic disc. On this data set, our method achieved 95% success rate for the localization of the optic disc and 70% success rate for the identification of the optic disc contour (as a circle).

Suggested Citation

  • Rachana k & Ashwini H & Navya N V, 2018. "Automated Detection of Optic Disc Location in Retinal Images using Histogram Matching," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 4(6), pages 140-148, May.
    • Handle: RePEc:jbh:ijsrcs:v4:y2018:i6:id:hcseit184629
    Note: Article URL: https://ijsrcseit.com/CSEIT184629
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