39 Citations (Scopus)

Abstract

Diabetic maculopathy is the major cause of irreversible vision loss due to retinopathy and is found in 10% of the world diabetic population. Compulsory mass screening will help to identify the maculopathy at early stage and reduce the risk of severe vision loss. In this paper, we present a computer based system for automatic detection and grading of diabetic maculopathy severity level without manual intervention. The optic disc is detected automatically and its location and diameter is used to detect fovea and to mark the macular region respectively. Next, hard exudates are detected using clustering and mathematical morphological techniques. Based on the location of exudates in marked macular region the severity level of maculopathy is classified into mild, moderate and severe. The method achieves a sensitivity of 95.6% and specificity of 96.15% with 148 retinal images for detecting maculopathy stages in fundus images as comparable to that of human expert.

Original languageEnglish
Title of host publicationInternational Conference on Systems in Medicine and Biology, ICSMB 2010 - Proceedings
Pages331-334
Number of pages4
DOIs
Publication statusPublished - 2010
EventInternational Conference on Systems in Medicine and Biology, ICSMB 2010 - Kharagpur, India
Duration: 16-12-201018-12-2010

Conference

ConferenceInternational Conference on Systems in Medicine and Biology, ICSMB 2010
CountryIndia
CityKharagpur
Period16-12-1018-12-10

All Science Journal Classification (ASJC) codes

  • Medicine(all)

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