Candidate Region Extraction in Retina images through Extended Median Filter and Gabor Filter

P Subbuthai¹, S Muruganand²

^1,2Bharathiar University

Abstract

Early detection of Diabetic Retinopathy is important task for patient vision. This diseases is affected by several abnormality, one of the first sign of disease is Microanerysms. To detect this abnormality, we have to extract all candidate regions for Microanerysms in retina images. In this paper, proposed three stages for extraction of candidate region from retina images. In the first stage, the system removes the noise in the retina image and in second stage applied contrast enhancement to retina image for improvement of candidate of lesions. In third stage, all possible candidates are extracted from retina images through Gabor filter. In this paper, proposed Extended Median filter for the removal of noise and with the combination of Gabor filter, matching filter and local entropy thresholding technique, this system ensemble to improve the candidate lesions extraction. The proposed system is evaluated using Driven database.

Keywords

• Medical Image Processing, Diabetic Retinopathy, Microanerysms, Extended Median Filter, Gabor Filter

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Cite this Article as Follows

Subbuthai P, Muruganand S. Candidate Region Extraction in Retina images through Extended Median Filter and Gabor Filter.. International Conference on Inter Disciplinary Research in Engineering and Technology 2015. Vol. 1. Chennai: Association of Scientists, Developers and Faculties, 2015. 58-64. Print.