An information geometry based scheme for hard exudate detection in fundus images

Amit Kumar Mishra*, Pankaj K. Singh, Karandeep S. Chawla

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

Abstract

Our research focuses on the detection of hard exudates (HEs) in fundus Images for identification of the condition of Diabetic Retinopathy (DR). HEs have been found to be the most specific markers for the presence of retinal oedema, and are also one of the most prevalent lesions during early stages of DR. In order to detect HEs, we have introduced a novel way of using the Distance Learning Metric using a Non-linear Kernels function. We have also introduced a new method to remove the OD in the post-processing stage based on variance calculation. In this the contention in the worst case is resolved by the use of the more robust vertical blood vessel edge detection method. Overall, with the combined implementation of the standard algorithm and the novel algorithm proposed by us, we have been able to achieve classification results of 96.67% (which is better than the results contended in the present literature surveyed by us) with very less computational cost of the algorithm as compared to the computational costs posed by conventional algorithms.

Original languageEnglish
Title of host publicationProceedings - 2011 Annual IEEE India Conference
Subtitle of host publicationEngineering Sustainable Solutions, INDICON-2011
PublisherIEEE Press
Number of pages4
ISBN (Electronic)978-1-4577-1109-1
ISBN (Print)978-1-4577-1110-7
DOIs
Publication statusPublished - 16 Dec 2011
Externally publishedYes
Event2011 Annual IEEE India Conference: Engineering Sustainable Solutions, INDICON-2011 - Hyderabad, India
Duration: 16 Dec 201118 Dec 2011

Publication series

NameProceedings - 2011 Annual IEEE India Conference: Engineering Sustainable Solutions, INDICON-2011

Conference

Conference2011 Annual IEEE India Conference: Engineering Sustainable Solutions, INDICON-2011
Country/TerritoryIndia
CityHyderabad
Period16 Dec 201118 Dec 2011

Keywords

  • Diabetic Retinopathy
  • Fundus Image
  • Hard Exudates
  • Information Geometry

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