Analysis of Fundus Image of Ophthalmoscope for Macula Identification and Detection to Diagnosis of Vision Related Diseases – using Graythresholding and Pixel Index Number
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10.5120/17679-8523 |
Vaishali B Shinde and Ramesh R Manza. Article: Analysis of Fundus Image of Ophthalmoscope for Macula Identification and Detection to Diagnosis of Vision Related Diseases - using Graythresholding and Pixel Index Number. International Journal of Computer Applications 101(4):47-51, September 2014. Full text available. BibTeX
@article{key:article,
author = {Vaishali B. Shinde and Ramesh R. Manza},
title = {Article: Analysis of Fundus Image of Ophthalmoscope for Macula Identification and Detection to Diagnosis of Vision Related Diseases - using Graythresholding and Pixel Index Number},
journal = {International Journal of Computer Applications},
year = {2014},
volume = {101},
number = {4},
pages = {47-51},
month = {September},
note = {Full text available}
}
Abstract
As we know the diabetic causes people are increasing day by day in the world. Diabetic disease has also infects the other parts of the human body, like eye, platelets counts etc. In the field of medicines, medical image processing plays a vital role to detect the abnormalities of eye or eye diseases like glaucoma and diabetic retinopathy. Macular degeneration is one of the medical conditions that affect the vision of elder people [1]. The retina is responsible for peripheral vision. Macula is the central area of the retina, temporal to the optic disk. It is responsible to have fine central vision and colour vision. This paper provides the Manual analysis of the images can be improved and problem of detection diabetics by identifying and detecting macula using gray thresholding and index number of object.
References
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