Commenced in January 2007
Paper Count: 31440
Automatic Method for Exudates and Hemorrhages Detection from Fundus Retinal Images
Abstract:Diabetic Retinopathy (DR) is an eye disease that leads to blindness. The earliest signs of DR are the appearance of red and yellow lesions on the retina called hemorrhages and exudates. Early diagnosis of DR prevents from blindness; hence, many automated algorithms have been proposed to extract hemorrhages and exudates. In this paper, an automated algorithm is presented to extract hemorrhages and exudates separately from retinal fundus images using different image processing techniques including Circular Hough Transform (CHT), Contrast Limited Adaptive Histogram Equalization (CLAHE), Gabor filter and thresholding. Since Optic Disc is the same color as the exudates, it is first localized and detected. The presented method has been tested on fundus images from Structured Analysis of the Retina (STARE) and Digital Retinal Images for Vessel Extraction (DRIVE) databases by using MATLAB codes. The results show that this method is perfectly capable of detecting hard exudates and the highly probable soft exudates. It is also capable of detecting the hemorrhages and distinguishing them from blood vessels.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1126341Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2259
 A. W. Reza, C. Eswaran and S. Hari, “Automatic Tracing of Optic Disc and Exudates from color Fundus Images Using Fixed and Variables Thresholds,” Journal of Medical Systems, Vol. 33, pp. 73-80, April. 2008.
 A. Tripathi, K. K. Singh, B. K. Singh and A. Mehrotra, “Automatic Detection of Exudates in Retinal Fundus Images using Morphological Profile,” International Journal of Engineering and Technology, Vol. 3, pp. 2024-2029, July 2013.
 R. F. Mansour, E. Md. Abdelrahim and A. S. Al-Johani, “Identification of Diabetic Retinal Exudates in Digital Color Images Using Support Vector Machine,” Journal of Intelligent Learning Systems and Applications, pp. 134-142, August 2013.
 M. Akter, A. Rahman and A.K.M. Islam, “An improved method of automatic exudates detection in retinal images,” International Journal Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, Vol. 2, May 2014.
 N. Kleawsirikul, S. Gulati and B. Uyyanonvara, “Automated Retinal Hemorrhage Detection using Morphological Top Hat and Rule-based Classification,” 3rd International Conference on Intelligent Computational Systems, April 2013.
 S. B. Junior and D. Walfer, “Automatic Detection of Microaneurysms and Hemorrhages in Color Eye Fundus Images,” International Journal of Computer Science and Information Technology, Vol. 5, October 2013.
 R. V. Athira and D. F. Ferlin, “Detection of Retinal Hemorrhage using Splat Feature Classification Technique,” International Journal of Engineering Research and Applications, Vol. 4, pp. 327-330, January 2014.
 R. Inbarathi and R. Karthikeyan, “Detection of Retinal Hemorrhage in Fundus Images by classifying the Splat Features using SVM,” International Journal of Innovative research in Science, Engineering and Technology, Vol. 3, pp. 1979-1986, March 2014.
 UR Acharya, CM. Lim, EYK. Ng and T. Tamuraa, “Computer-Based Detection of diabetes retinopathy stages using digital fundus images,” pp. 545-553, July 2009.
 A. Dehghani, H.A. Moghaddam and M.S. Moin, “Optic disc localization in retinal images using Histogram matching,” EURASIP on image and Video Processing, December 2012.
 P. C. Siddalingeswamy and K. G. Prabhu, “Automatic Localization and Boundary Detection of Optic Disc Using Implicit Active counters,” International Journal of Computer Applications, Vol. 1, February 2010.
 M. Foracchia, E. Grisan and A. Ruggeri, “Detection of Optic Disc in Retinal Images by Means of a Geometrical Model of Vessel Structure,” IEEE Transactions on Medical Imaging, Vol. 23, pp. 1189-1195, October 2014.
 S. Sekhar, W. AL-Nuaimy and K. Nandi, “Automated Localization of Optic Disc and Fovea in Retinal Fundus Images,” 16th European Signal Processing Conference, August 2008.