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Online Optic Disk Segmentation Using Fractals
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/></div></noscript> <!-- /Yandex.Metrika counter --> <!-- Matomo --> <!-- End Matomo Code --> <title>Online Optic Disk Segmentation Using Fractals</title> <meta name="description" content="Online Optic Disk Segmentation Using Fractals"> <meta name="keywords" content="Color retinal fundus images, Diabetic retinopathy, Fluorescein angiography retinal fundus images, Fractal analysis."> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <meta name="citation_title" content="Online Optic Disk Segmentation Using Fractals"> <meta name="citation_author" content="Srinivasan Aruchamy"> <meta name="citation_author" content="Partha Bhattacharjee"> <meta name="citation_author" content="Goutam Sanyal"> <meta name="citation_publication_date" content="2015/07/01"> <meta name="citation_journal_title" content="International Journal of Biomedical and Biological Engineering"> <meta name="citation_volume" 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href="https://publications.waset.org/search?q=Srinivasan%20Aruchamy">Srinivasan Aruchamy</a>, <a href="https://publications.waset.org/search?q=Partha%20Bhattacharjee"> Partha Bhattacharjee</a>, <a href="https://publications.waset.org/search?q=Goutam%20Sanyal"> Goutam Sanyal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Optic disk segmentation plays a key role in the mass screening of individuals with diabetic retinopathy and glaucoma ailments. An efficient hardware-based algorithm for optic disk localization and segmentation would aid for developing an automated retinal image analysis system for real time applications. Herein, TMS320C6416DSK DSP board pixel intensity based fractal analysis algorithm for an automatic localization and segmentation of the optic disk is reported. The experiment has been performed on color and fluorescent angiography retinal fundus images. Initially, the images were pre-processed to reduce the noise and enhance the quality. The retinal vascular tree of the image was then extracted using canny edge detection technique. Finally, a pixel intensity based fractal analysis is performed to segment the optic disk by tracing the origin of the vascular tree. The proposed method is examined on three publicly available data sets of the retinal image and also with the data set obtained from an eye clinic. The average accuracy achieved is 96.2%. To the best of the knowledge, this is the first work reporting the use of TMS320C6416DSK DSP board and pixel intensity based fractal analysis algorithm for an automatic localization and segmentation of the optic disk. This will pave the way for developing devices for detection of retinal diseases in the future. <iframe src="https://publications.waset.org/10002026.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Color%20retinal%20fundus%20images" title="Color retinal fundus images">Color retinal fundus images</a>, <a href="https://publications.waset.org/search?q=Diabetic%20retinopathy" title=" Diabetic retinopathy"> Diabetic retinopathy</a>, <a href="https://publications.waset.org/search?q=Fluorescein%20angiography%20retinal%20fundus%20images" title=" Fluorescein angiography retinal fundus images"> Fluorescein angiography retinal fundus images</a>, <a href="https://publications.waset.org/search?q=Fractal%20analysis." title=" Fractal analysis."> Fractal analysis.</a> </p> <p class="card-text"><strong>Digital Object Identifier (DOI):</strong> <a href="https://doi.org/10.5281/zenodo.1107814" target="_blank">doi.org/10.5281/zenodo.1107814</a> </p> <a href="https://publications.waset.org/10002026/online-optic-disk-segmentation-using-fractals" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10002026/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10002026/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10002026/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10002026/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10002026/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10002026/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10002026/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10002026/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10002026/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10002026/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10002026.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">2513</span> </span> <p class="card-text"><strong>References:</strong></p> <br>[1] T. Walter, J. -C Klein, P.Massin, and A.Erginay, “A Contribution of Image processing to the Diagnosis of Diabetic Retinopathy - Detection of Exudates in Color Fundus Images of the Human Retina,” IEEE Transaction on Medical Imaging, vol. 21, no. 10, October 2002, pp. 1236-1243. <br>[2] Crawford ML, Harwerth RS, Smith EL 3rd, Mills S, Ewing B, “Experimental glaucoma in primates: changes in cytochrome oxidase blobs in V1 cortex,” Invest Ophthalmol Vis Sci 2001; 42: 358–64. <br>[3] Duane's Ophthalmology, Lippincott Williams & Wilkins, 2006. <br>[4] M.Ali Akber Dewan, Mohammad Shamsul Arefin, Muhammad Ahsan Ullah, Oksam Chae, “Automatic Extraction of Features from Retinal Fundus Image,” International Conference on Information and Communication Technology, March 2007, Dhaka, Bangladesh. <br>[5] Dimitris Koukounis, Lindsay Nicholson, David R. Bull and Alin Achim, “Retinal Image Registration Based on Multiscale Products and Optic Disc Detection,” 33rd Annual International Conference of the IEEE EMBS, Boston, Massachusetts USA,2011. <br>[6] Jihene Malek, Mariem Ben Abdallah, Asma Mansour and Rached Tourki, “Automated Optic Disc Detection in Retinal Images by Applying Region-based Active contour Modeling a variational Level Set Formulation,” International Conference on Computer Vision in Remote Sensing (CVRS), 2012 . <br>[7] Ahmed Essam Mahfouz and Ahmed S. Fahmy, “Ultrafast optic disc localization using projection of image features,” 16th IEEE International Conference on Image Processing (ICIP), 2009. <br>[8] Youssif A, Ghalwash A Z, Ghoneim A R, “Optic Disc Detection From Normalized Digital Fundus Images by Means of a Vessels' Direction Matched Filter,” IEEE Transaction on medical Imaging, Vol 27, No. 1 January 2008. <br>[9] Thanapong Chaichana,Sarat Yoowattana, Zhonghua Sun, Supan Tangjitkusolmun, Supot Sookpotharom and Manas Sangworasil, “Edge Detection of the Optic Disc in Retinal Images Based on Identification of a Round Shape,” IEEE International Symposium on Communication and Information Technologies, 2008. <br>[10] Xiangjian He, Jianmin Li, Darning wer, Wenjing Jia, Qiang Wu.” Canny Edge Detection on a Virtual Hexagonal Image Structure”, proceedings of IEEE Joint Conferences on Pervasive Computing (JCPC), 2009. <br>[11] Jean E. 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Brunelli, “Optimal histogram partitioning using a simulated annealing technique,” Pattern Recognition Letters, 13(1992) 581-586. <br>[16] Vahabi Z, Vafadoost M and Gharibzadeh Sh, “The new approach to Automatic detection of Optic Disc from non-dilated retinal images,” Proceedings of the 17th Iranian Conference of Biomedical Engineering (ICBME2010), 3-4 November 2010,978-1-4244-7484-4/10. <br>[17] Xiaoying Yang, Satoshi Hamaguchi, Yan Sun, Shuangjiu Xiao, “Detection of Optic Disc Center based on Gaussian Vessel detector and Tangent Information Transform,” 4th International Conference on Biomedical Engineering and Informatics(BMEI),978-1-4244-9352 4/11/$26.00 ©2011 IEEE. <br>[18] Reza Pourreza-Shahri, Meysam Tavakoli, Nasser Kehtarnavaz, “Computationally efficient optic nerve head detection in retinal fundus images,” Biomedical Signal Processing and Control 11 (2014) 63–73, 1746-8094/© 2014 Elsevier Ltd. <br>[19] Gabriel Landini, Philip I. Murray,and Gary P. Missonf , “Local Connected Fractal Dimensions and Lacunarity Analyses of 60° Fluorescein Angiograms,” Investigative Ophthalmology Visual Science, December 1995, Vol. 36, No. 13. <br>[20] Guilherme M. Tosoni, DDS, PhD, Alan G. Lurie, DDS, PhD, Ann E. Cowan, PhD, and Joseph A. Burleson, PhD,” Pixel intensity and fractal analyses: detecting osteoporosis in perimenopausal and postmenopausal women by using digital panoramic images,” Oral Surg Oral Med Oral Pathol Oral Radiol Endod 2006;102:235-41 <br>[21] K. Zuiderveld, “Contrast limited adaptive histogram equalization,” Graphics gems, vol. IV, pp. 474–485, 1994.J. G <br>[22] http://www.parl.clemson.edu/~ahoover/stare/index.html. <br>[23] Standard Diabetic Retinopathy Database Calibration Level 1. Retrieved June 22, 2011 fromhttp://www2.it.lut.fi/project/imageret/diaretdb1/. <br>[24] http://www.isi.uu.nl./research/Datbases/DRIVE <br>[25] http://www.ti.com/product/tms320c6416. </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore <li><a href="https://waset.org/disciplines">Disciplines</a></li> <li><a href="https://waset.org/conferences">Conferences</a></li> <li><a href="https://waset.org/conference-programs">Conference Program</a></li> <li><a href="https://waset.org/committees">Committees</a></li> <li><a href="https://publications.waset.org">Publications</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Research <li><a href="https://publications.waset.org/abstracts">Abstracts</a></li> <li><a href="https://publications.waset.org">Periodicals</a></li> <li><a href="https://publications.waset.org/archive">Archive</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Open Science <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Philosophy.pdf">Open Science Philosophy</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Award.pdf">Open Science Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Society-Open-Science-and-Open-Innovation.pdf">Open Innovation</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Postdoctoral-Fellowship-Award.pdf">Postdoctoral Fellowship Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Scholarly-Research-Review.pdf">Scholarly Research Review</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Support <li><a href="https://waset.org/page/support">Support</a></li> <li><a href="https://waset.org/profile/messages/create">Contact Us</a></li> <li><a href="https://waset.org/profile/messages/create">Report Abuse</a></li> </ul> </div> </div> </div> </div> </div> <div class="container text-center"> <hr style="margin-top:0;margin-bottom:.3rem;"> <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" class="text-muted small">Creative Commons Attribution 4.0 International License</a> <div id="copy" class="mt-2">© 2024 World Academy of Science, Engineering and Technology</div> </div> </footer> <a href="javascript:" id="return-to-top"><i class="fas fa-arrow-up"></i></a> <div class="modal" id="modal-template"> <div class="modal-dialog"> <div class="modal-content"> <div class="row m-0 mt-1"> <div class="col-md-12"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> </div> </div> <div class="modal-body"></div> </div> </div> </div> <script src="https://cdn.waset.org/static/plugins/jquery-3.3.1.min.js"></script> <script src="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/js/bootstrap.bundle.min.js"></script> <script src="https://cdn.waset.org/static/js/site.js?v=150220211556"></script> <script> jQuery(document).ready(function() { /*jQuery.get("https://publications.waset.org/xhr/user-menu", function (response) { jQuery('#mainNavMenu').append(response); });*/ jQuery.get({ url: "https://publications.waset.org/xhr/user-menu", cache: false }).then(function(response){ jQuery('#mainNavMenu').append(response); }); }); </script> </body> </html>