Diagnose Glaucoma by proposed Image processing Methods
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10.5120/18539-9757 |
Dnyaneshwari D.patil, Ramesh Manza and Gangadevi C.bedke. Article: Diagnose Glaucoma by proposed Image processing Methods. International Journal of Computer Applications 106(8):14-17, November 2014. Full text available. BibTeX
@article{key:article,
author = {Dnyaneshwari D.patil and Ramesh Manza and Gangadevi C.bedke},
title = {Article: Diagnose Glaucoma by proposed Image processing Methods},
journal = {International Journal of Computer Applications},
year = {2014},
volume = {106},
number = {8},
pages = {14-17},
month = {November},
note = {Full text available}
}
Abstract
Glaucoma is one of the leading cause of blindness worldwide. It is due to the increase in intra ocular pressure within the eyes. The detection and diagnosis of glaucoma is very important. There are manual and automatic detection methods available. In this paper a survey is conducted on different glaucoma detection methods such as Scanning Laser Polarimetry, optical coherence tomography, including- image processing in Enhancement, Registration, Fusion, Segmentation, Feature extraction, Pattern matching, Classification, Morphology, Statistical measurements and Analysis etc
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