Innovative feature set for retinopathic analysis of diabetes and its detection

Kshetrimayum Lochan, Puspalata Sah, Kandarpa Kumar Sarma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

A fully automated approach is presented for the feature selection for the application in diabetic retinopathy. Diabetic Retinopathy(DR) is a vascular disorder affecting the retina due to prolonged diabetes. It can lead to sudden vision loss due to DR.This work is aimed to develop an automated system to analyze the retinal images for extracting important features of diabetic retinopathy using the image processing techniques. The color retinal images are segmented following the pre-processing steps, i,e color normalization and contrast enhancement. The entire segmented images establish a dataset of regions. To classify these segmented regions into varying changes in blood vessels and different finding such as exudates, microaneurysms, a set of features such as color, size, edge strength and texture are extracted which can be used as part of an automated diabetes recognition system.

Original languageEnglish
Title of host publicationProceedings - 2012 3rd National Conference on Emerging Trends and Applications in Computer Science, NCETACS-2012
Pages240-245
Number of pages6
DOIs
Publication statusPublished - 2012
Event2012 3rd National Conference on Emerging Trends and Applications in Computer Science, NCETACS-2012 - Shillong, India
Duration: 30-03-201231-03-2012

Publication series

NameProceedings - 2012 3rd National Conference on Emerging Trends and Applications in Computer Science, NCETACS-2012

Conference

Conference2012 3rd National Conference on Emerging Trends and Applications in Computer Science, NCETACS-2012
CountryIndia
CityShillong
Period30-03-1231-03-12

All Science Journal Classification (ASJC) codes

  • Computer Science Applications

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    Lochan, K., Sah, P., & Sarma, K. K. (2012). Innovative feature set for retinopathic analysis of diabetes and its detection. In Proceedings - 2012 3rd National Conference on Emerging Trends and Applications in Computer Science, NCETACS-2012 (pp. 240-245). [6203267] (Proceedings - 2012 3rd National Conference on Emerging Trends and Applications in Computer Science, NCETACS-2012). https://doi.org/10.1109/NCETACS.2012.6203267