1. Glaucoma detection based on phase information of fundus images
Authors : Madhusudhan Mishra
Pages : 444 - 449
Keywords : Glaucoma, Fundus Image, Phase Information, Multi-thresholding, CDR. Abstract :
This paper applies the process and knowledge of digital image processing for detection of Glaucoma using the phase information of the color fundus images. Glaucoma is one of the major causes of blindness, caused due to neuro-degeneration of the optic nerve of human eye. One of the most important characteristics of Glaucoma is decreased neuro-retinal rim area, affecting the peripheral vision loss. Color fundus image analysis has gained its importance in last few decades as it provides vital information regarding the severity of diabetic eye diseases. The fundus images are recognized as one of important document for the ophthalmologist for early detection of different pathologies and diagnosing of various eye diseases like Diabetic Retinopathy, Glaucoma and Cataract which occurs in the people of various age groups due to their modern life style. These diseases cause vision impairment and blindness due to diabetes, which occurs due to the elevation of glucose in blood. The proposed method discuses the method of detection of Glaucoma based on only phase information of color fundus images. The criteria for Glaucoma detection is based on evaluation of cup to disc ratio (CDR) obtained by multi-thresholding technique on processed image containing phase information. This kind of automatic detection can easily process a large number of fundus images obtained from mass screening in order to help eye specialist in early stages. In fact it will help to reduce the cost and increase the productivity and efficiency for ophthalmologists.
Citing this Journal Article :Madhusudhan Mishra, "Glaucoma detection based on phase information of fundus images", Volume 6 Issue 4 - March 2016, 444 - 449
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