Image Segmentation and Analysis in the Case Study of Macular Degeneration Using Labview
Sheeba O.1, Nikki Vinayan2
1Dr. Sheeba O, Professor, Department of ECE, T.K.M. College of Engg, Kollam, Kerala, India.
2Nikki Vinayan, was graduated in Electronics and Communication Engineering from T.K.M College of Engineering, Kerala, India.
Manuscript received on November 25, 2013. | Revised Manuscript received on December 15, 2013. | Manuscript published on December 30, 2013. | PP: 14-17  | Volume-3, Issue-2, December 2013. | Retrieval Number:  B2327123213/2013©BEIESP

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Abstract: Computer assisted analysis of retinal images to diagnose Age Related Macular Degeneration (AMD) requires the quantification of drusen deposits in human retina. Age-related macular degeneration is a disease associated with aging that gradually destroys sharp, central vision. An increase in the size or number of drusen raises a person’s risk of developing advanced AMD. These changes can cause serious vision loss. Incorporation of image processing technologies in the field of ophthalmology presents a wide range of possibilities when there is a demand for improving the quality of medical care. An automated and reliable method for finding the drusen exudates has been developed using retinal image analysis. The retinal images are enhanced and morphological operations done so as to segment drusen areas that differ slightly from the background. The software Vision Assistant of Lab VIEW is used for the automatic detection and mapping of drusen deposits in the retinal images. The result is the display window which helps the doctor to make the accurate diagnosis or get information regarding the efficacy of the treatment very faster during the course of the disease.
Keywords: Macular Degeneration, Drusen, Image segmentation, Histogram equalization, Mathematical morphology.