Research Article

Diagnose Glaucoma by proposed Image processing Methods

by  Dnyaneshwari D.Patil, Ramesh Manza, Gangadevi C.Bedke
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 106 - Issue 8
Published: November 2014
Authors: Dnyaneshwari D.Patil, Ramesh Manza, Gangadevi C.Bedke
10.5120/18539-9757
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Dnyaneshwari D.Patil, Ramesh Manza, Gangadevi C.Bedke . Diagnose Glaucoma by proposed Image processing Methods. International Journal of Computer Applications. 106, 8 (November 2014), 14-17. DOI=10.5120/18539-9757 

                        @article{ 10.5120/18539-9757,
                        author  = { Dnyaneshwari D.Patil,Ramesh Manza,Gangadevi C.Bedke },
                        title   = { Diagnose Glaucoma by proposed Image processing Methods },
                        journal = { International Journal of Computer Applications },
                        year    = { 2014 },
                        volume  = { 106 },
                        number  = { 8 },
                        pages   = { 14-17 },
                        doi     = { 10.5120/18539-9757 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2014
                        %A Dnyaneshwari D.Patil
                        %A Ramesh Manza
                        %A Gangadevi C.Bedke
                        %T Diagnose Glaucoma by proposed Image processing Methods%T 
                        %J International Journal of Computer Applications
                        %V 106
                        %N 8
                        %P 14-17
                        %R 10.5120/18539-9757
                        %I Foundation of Computer Science (FCS), NY, USA
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

References
  • Dharmanna Lamani- (IJITR)"Bidirectional fractal dimension through semi variance applied to glaucomatous eye" Volume No. 1, Issue No. 6, October - November 2013, 562 - 566.
  • Preeti1, Jyotika Pruthi, "Review of Image Processing Technique for Glaucoma Detection"
  • IJCSMC, Vol. 2, Issue. 11, November 2013, pg. 99 – 105. 1A. Murthi and 2M. Madheswaran-
  • "Estimation of Cup to Disc Ratio to Improve the Glaucoma Diagnosis for Health" Care Systems Australian Journal of Basic and Applied Sciences ISSN:1991-8178
  • Review of Image Processing Technique for Glaucoma Detection IJCSMC, Vol. 2, Issue. 11, November 2013, pg. 99
  • http://www. youtube. com/watch?v=eLrF8Klos5M&feature=youtube_gdata_player
  • . http://www. youtube. com/watch?v=IPqBOhHczJ4&feature=youtube_gdata_player
  • https://www. google. co. in/search?q=glaucoma+images&source=1nms&tbm=isch&sa=X&ei=ok5fU4eFDcahugS36IGYDg&sqi=2&ved=0CAYQ_AUoAQ&biw=1366&bih=66
  • Japan Glaucoma Society Guidelines for Glaucoma (2nd Edition)
  • ACHIKO-I Retinal Fundus Image Database and its Evaluation on Cup-to-Disc Ratio Measurement Fengshou Yin, Jiang Liu, Damon Wing Kee Wong, Ngan Meng Tan, Beng Hai Lee, Jun Cheng, Min Thet Htoo, Zhuo Zhang, Yanwu Xu and Xinting Gao
  • J. B. Jonas, W. M. Budde and S. Panda-Jonas, "Ophthalmoscopic evaluation of the optic nerve head," Surv Ophthalmol, vol. 43, no. 4, pp. 293-320, Jan-Feb 1999.
  • Y. H. Kwon, J. H. Fingert and E. C. Greenlee, A Patient's Guide to Glaucoma FEP International, 2008.
  • M. Vinay Kumar, SharadKulkarini,"Tumors Classification using PNN Methods", Volume-2, Issue-5,International Journal of Soft Computing and Engineering (IJSCE), November 2012.
  • Ali Asghar Beheshti Shirazi, Leila Nasseri,"Novel Algorithm to Classify Iris Image Based on Entropy by Using Neural Network",International Conference o nAdvanced Computer Theory and Engineering,IEEE 2008.
  • N. Annu1, Judith Justin2, 2Faculty, Dept of Biomedical Instrumentation Engg, Avinashilingam University,Coimbatore,IndiaEmail:judithvjn@yahoo. co. in"AutomatedClassification of Glaucoma Images by Wavelet Energy Features. "
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Glaucoma Cup to disc ratio Segmentation Neural network for classification

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