Research Article

Detection of Exudative Maculopathy from Retinal Fundus Images

by  Sreedevi K S, Hema P Menon
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Issue 18
Published: July 2014
Authors: Sreedevi K S, Hema P Menon
10.5120/17111-7778
PDF

Sreedevi K S, Hema P Menon . Detection of Exudative Maculopathy from Retinal Fundus Images. International Journal of Computer Applications. 97, 18 (July 2014), 48-49. DOI=10.5120/17111-7778

                        @article{ 10.5120/17111-7778,
                        author  = { Sreedevi K S,Hema P Menon },
                        title   = { Detection of Exudative Maculopathy from Retinal Fundus Images },
                        journal = { International Journal of Computer Applications },
                        year    = { 2014 },
                        volume  = { 97 },
                        number  = { 18 },
                        pages   = { 48-49 },
                        doi     = { 10.5120/17111-7778 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2014
                        %A Sreedevi K S
                        %A Hema P Menon
                        %T Detection of Exudative Maculopathy from Retinal Fundus Images%T 
                        %J International Journal of Computer Applications
                        %V 97
                        %N 18
                        %P 48-49
                        %R 10.5120/17111-7778
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Diabetic retinopathy is a group of eye problems caused due to diabetes. Longer time a person has diabetes; the higher is his or her chances of developing diabetic retinopathy. One of the stages of diabetic retinopathy is Exudative Maculopathy. Spontaneous progression and regression of exudates causes Exudative Maculopathy. This work focuses on extraction of exudates from retinal fundus images using image processing techniques.

References
  • Akara Sopharak , Bunyarit Uyyanonvara, Sarah Barman, Thomas H Williamson. 2008. "Automatic detection of diabetic retinopathy exudates from non-dilated retinal images using mathematical morphology methods", Elsevier, Computerized Medical Imaging and Graphics 32 (2008),pp 720–727.
  • V Vijaya Kumari, N SuriyaNarayanan. 2010. "Diabetic Retinopathy-Early Detection Using Image Processing Techniques"; (IJCSE) International Journal on Computer Science and Engineering Vol. 02, No. 02, 2010, 357-361.
  • Osareh, A. , Mirmehdi, M. Thomas, B. , Markham, R. 2010, " Automatic recognition of exudative maculopathy using fuzzy c- means clustering and neural networks", In Medical Image Understanding Analysis, Claridge, E. ; Bamber ,J. , editors. BMVA Press, pp. 49–52.
  • G S Annie Grace Vimala,, Dr. Kaja Mohideen. 2012, "An Efficient Approach for Detection of Exudates in Diabetic Retinopathy Images Using Clustering Algorithm" , IOSR Journal of Computer Engineering (IOSRJCE) ,ISSN: 2278-0661 Volume 2, Issue 5, pp 43-48.
  • C. Sinthanayothin, 2000, "Image analysis for automatic diagnosis of Diabetic Retinopathy", World Congress on Information and Communication Technologies, pp. 522-532 .
  • Maria Garciaa, Clara I sancheza, maria I Llopez, daniel Abasoloa, Roberto Horneroa,2008, "A novel automatic image processing algorithm for detection of hard exudates based on retinal image analysis", Medical Engineering and Physics, Volume 30,issue 3,pp350-357.
  • Leistritz, Lutz; Schweitzer, Dietrich, "Automated Detection and quantification of exudates in retinal images', Proc. SPIE Vol. 2298, Applications of Digital Image Processing, pp 690-696.
  • Niemeijer. M, Abramoff. M. D, Van Ginneken. B, 2007, "Information fusion for Diabetic Retinopathy CAD in Digital color fundus photographs", IEEE Transactions on medical imaging, vo7l. 26, no. 10, pp. 1357-1365.
  • T. Walter, J. Klein, P. Massin, and A. Erginary, 2002, "A contribution of image processing to the diagnosis of diabetic retinopathy",detection of exudates in colour fundus images of the human retina?. IEEE Trans. Medical. Imaging,Vol. 21, No. 10, pp. 1236–1243.
  • T Yamuna,S Maheshwari, 2013," Detection of abnormalities in retinal images";IEEE,2013 International conference on emerging trends in computing, communication and nanotechnology;pp. 236-240.
  • Giri Babu Kande, P. Venkata Subbaiah, T. Satya Savithri, 2008, "Segmentation of Exudates and Optic Disk in Retinal Images,"icvgip, 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing, pp. 535-542.
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Exudative Maculopathy Local Contrast Enhancement Fuzzy C Means Clustering Artificial Neural Network

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