Automated segmentation of optic disc in fundus images

@article{Saleh2014AutomatedSO,
  title={Automated segmentation of optic disc in fundus images},
  author={Marwan D. Saleh and N. D. Salih and Chikannan Eswaran and Junaidi Abdullah},
  journal={2014 IEEE 10th International Colloquium on Signal Processing and its Applications},
  year={2014},
  pages={145-150}
}
This paper presents a method for automated optic disc segmentation from color fundus images. The proposed method comprises three major stages, namely optic disc localization, preprocessing and segmentation. Localization is performed using the fast Fourier transform based template matching to obtain a seed point located on the optic disc which is then used as an input to the region growing technique for the purpose of segmentation. DRIVE database is used to measure the accuracy of the proposed… CONTINUE READING

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Key Quantitative Results

  • From the experimental results, it is found that the proposed localization method achieves success rates of 100%.
  • Based on the results, it is found that the proposed method achieves values of 87.16%, 91.27%, 99.81%, 90.56%, 98.68%, and 89.71% in terms of overlap, sensitivity, specificity, PPV, accuracy, and kappa coefficient respectively, which are higher compared to the results achieved by other known methods.
  • Based on the results, the proposed localization method achieved success rate of 100%.

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