Hierarchical classifier for soft and hard exudates detection of retinal fundus images

@article{Kavitha2014HierarchicalCF,
  title={Hierarchical classifier for soft and hard exudates detection of retinal fundus images},
  author={M. Kavitha and S. Palani},
  journal={Journal of Intelligent and Fuzzy Systems},
  year={2014},
  volume={27},
  pages={2511-2528}
}
Nowadays, diagnosis of diabetic retinopathy has caught the eager eyes of enthusiastic experimenters, as it has emerged as the common cause of blindness in the working age group. Several works are available in the literature for the detection of normalities and abnormalities through retinal image processing. Recently, a variety of literatures are presented based on normal/abnormal detection using retinal images. In this paper, we have proposed an efficient technique to detect the hard/soft… CONTINUE READING

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Key Quantitative Results

  • The results have proved that the proposed technique has outperformed the existing method by having superior accuracy of 90.91% when compared with the existing methods.

References

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