Lesion Detection in Eye Due to Diabetic Retinopathy

  • Pankaj Badoni
  • R. C. Tripathi
Part of the Communications in Computer and Information Science book series (CCIS, volume 276)


Diabetic Retinopathy (DR) is one of the chronic diseases which has caused stir in the medical world, since initial symptoms are hard to detect or predict and if it goes unnoticed then it may lead to permanent blindness. So the need arises for fast and efficient systems which can detect whether the patient is suffering from DR or not. In automatic detection of lesion in eye due to diabetic retinopathy the lesions are detected based upon the lesion’s characteristic for e.g. exudates are bright spots and hemorrhages are dark lesions. The detection of lesions facilitates in initial screening step of the disease, with this we can perform automatic screening of images whether they are DR infected or not. In present system with the help of morphological image processing techniques, we are trying to detect lesions in two categories i.e. dark and bright lesions. The present system is able to detect 90 % exudates in image and 85% dark lesions.


Morphology Exudates HAMs Diabetic retinopathy Haemorrhages 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Pankaj Badoni
    • 1
  • R. C. Tripathi
    • 2
  1. 1.Headstrong Services India Pvt LtdNoidaIndia
  2. 2.Department of ITIIITAAllahabadIndia

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