Automated detection of Optic Disc for the analysis of retina using color fundus image

Optic Disc (OD) behaves as a landmark in a fundus image for the localization of other major parts of the eye like macula region, fovea and the network of blood vessels. OD can be seen as a quite distinct bright region in a colored fundus image. In our proposed method the high intensity value of the optic disc is used for its detection. First the optic disc is detected by applying preprocessing steps for enhancement like Contrast-Limited Adaptive Histogram Equalization (CLAHE), contrast stretching transformation and extended minima transformation. OD free image is obtained by applying morphological opening and closing operations on the preprocessed image. A sensitivity, specificity and accuracy of 100%, 98.25% and 98.65% is achieved respectively on 1200 images from publically available database MESSIDOR. Compared with state of the art, the proposed technique has reasonable accuracy using less computing power and processing time.

[1]  Kenneth W. Tobin,et al.  Detection of Anatomic Structures in Human Retinal Imagery , 2007, IEEE Transactions on Medical Imaging.

[2]  U. Rajendra Acharya,et al.  Application of intuitionistic fuzzy histon segmentation for the automated detection of optic disc in digital fundus images , 2012, Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics.

[3]  S. K. Mohideen,et al.  Automatic detection of Optic Disk and Exudate from retinal images using Clustering algorithm , 2013, 2013 7th International Conference on Intelligent Systems and Control (ISCO).

[4]  Shijian Lu.  Automatic optic disc detection using retinal background and retinal blood vessels , 2010, 2010 3rd International Conference on Biomedical Engineering and Informatics.

[5]  Shijian Lu,et al.  Automatic Optic Disc Detection From Retinal Images by a Line Operator , 2011, IEEE Transactions on Biomedical Engineering.

[6]  Rangaraj M. Rangayyan,et al.  Detection of the optic disc in images of the retina using the Hough transform , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[7]  Mira Park,et al.  Locating the Optic Disc in Retinal Images , 2006, International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06).

[8]  Rached Tourki,et al.  Automated optic disc detection in retinal images by applying region-based active aontour model in a variational level set formulation , 2012, 2012 International Conference on Computer Vision in Remote Sensing.

[9]  Bram van Ginneken,et al.  Segmentation of the Optic Disc, Macula and Vascular Arch in Fundus Photographs , 2007, IEEE Transactions on Medical Imaging.

[10]  Hideki Kuga,et al.  A computer method of understanding ocular fundus images , 1982, Pattern Recognit..

[11]  T. Chaichana,et al.  Edge Detection of the Optic Disc in Retinal Images Based on Identification of a Round Shape , 2008, 2008 International Symposium on Communications and Information Technologies.

[12]  Jamshid Shanbehzadeh,et al.  Detection of optic disc center and macula using spatial information of optic cup , 2011, 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI).

[13]  A. Pinz,et al.  Mapping the human retina , 1996, IEEE Transactions on Medical Imaging.

[14]  Touseef Ahmad Qureshi,et al.  Automatic localization of the optic disc in retinal fundus images using multiple features , 2012, 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE).

[15]  Aliaa A. A. Youssif,et al.  Optic Disc Detection From Normalized Digital Fundus Images by Means of a Vessels' Direction Matched Filter , 2008, IEEE Transactions on Medical Imaging.

[16]  Manuel Emilio Gegúndez-Arias,et al.  Detecting the Optic Disc Boundary in Digital Fundus Images Using Morphological, Edge Detection, and Feature Extraction Techniques , 2010, IEEE Transactions on Medical Imaging.