New feature-based detection of blood vessels and exudates in color fundus images

2010 2nd International Conference on Image Processing Theory, Tools and Applications, IPTA 2010

Volumn , Issue , 2010, Pages 294-299

  Youssef, Doaa ^a   Solouma, Nahed ^a   El dib, Amr ^a   Mabrouk, Mai ^b   Youssef, Abo Bakr ^c  

^a CAIRO UNIVERSITY   (Egypt)

^b Misr University for Science and Technology   (Egypt)

^c CAIRO UNIVERSITY   (Egypt)

Author keywords

Diabetic retinopathy; Exudates; Fundus image; Mathematical morphology; Snakes

Indexed keywords

CIRCULAR STRUCTURES; DIABETIC RETINOPATHY; EARLY DETECTION; EARLY DIAGNOSIS; EXUDATES; FEATURE-BASED; FEATURE-BASED METHOD; FUNDUS IMAGE; INITIAL ESTIMATE; MACULAR DEGENERATION; MORPHOLOGICAL OPERATIONS; MORPHOLOGICAL RECONSTRUCTION; OPTIC DISC; SEGMENTED IMAGES; SMALL AREA; SNAKES; TREE-BASED;

BLOOD; DIAGNOSIS; EYE PROTECTION; HOUGH TRANSFORMS; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; IMAGING SYSTEMS; MATHEMATICAL MORPHOLOGY; MORPHOLOGY; OPTICAL DATA PROCESSING;

BLOOD VESSELS;

EID: 78049509830     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPTA.2010.5586752     Document Type: Conference Paper

References (16)

1. A. Osareh, M. Mirmehdi, B. Thomas, and R. Markham. Automated Identification of Diabetic Retinal Exudates in Digital Color Images. Br J Ophthalmol. Vol. 87, pp. 1220-1223, 2003.
2. Kanski J. Diabetic retinopathy, clinical ophthalmology. Oxford: Butterworth-Heimann; 1997.
3. J.A. Olson, F.M Strachana, and J.H. Hipwell. A comparative evaluation of digital imaging, retinal photography and optometrist examination in screening for diabetic retinopathy. Diabet Med. Vol. 20, pp. 528-534, 2003.
4. Akara Sopharak , Bunyarit Uyyanonvara , Sarah Barmanb, Thomas H. Williamson. Automatic detection of diabetic retinopathy exudates from non-dilated retinal images using mathematical morphology methods. Computerized Medical Imaging and Graphics, Vol. 32, pp 720-727, 200,.
5. K. Akita and H. Kuga, A computer method of understanding ocular fundus images. Pattern Recognition, 15(6):431-443, 1982.
6. A. Hoover and M. GoldBaum. Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels. IEEE Trans. on Medical Imaging, 22:951-958, Aug. 2003.
7. Huan Wang, Wynne Hsu, Kheng Guan Goh, Mong Li Lee. An Effective Approach to Detect Lesions in Color Retinal Images. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), South Carolina, USA, 2000.
8. Wynne Hsu, P M D S Pallawala, Mong Li Lee, Kah-Guan Au Eong. The Role of Domain Knowledge in the Detection of Retinal Hard Exudates. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , Kauai Marriott, Hawaii, 2001.
9. Mitra SK, Te-Won Lee, Goldbaum M. Bayesian network based sequential inference for diagnosis of diseases from retinal images. Pattern Recogn Lett,26:459-70, 2005.
10. Thomas Walter-, Jean-Claude Klein, Pascale Massin, and Ali Erginay. A Contribution of Image Processing to the Diagnosis Of Diabetic Retinopathy-Detection of Exudates in Color Fundus Images of the Human Retina. IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 21, NO. 10, OCTOBER 2002
11. L. Gagnon, M. Lalonde, M. Beaulieu, and M.-C. Boucher. Procedure to detect anatomical structures in optical fundus images. Proceeding, SPIE Medical Imaging: Image Processing, pages1218-1225, 2001.
12. Daniel Welfer, Jacob Scharcanski, Diane Ruschel Marinho. A coarse-to-fine strategy for automatically detecting exudates in color eye fundus images. Computerized Medical Imaging and Graphics, 2009.
13. Mai S. Mabrouk, Nahed H. Solouma and Yasser M. Kadah. Survey of Retinal Image Segmentation and Registration. GVIP Journal, Volume 6, Issue 2,pages 1:11, September, 2006
14. Nahed H. Solouma, A. B. Youssef, Y. A. Badr, Y. M. Kadah. A new real-Time Retinal Tracking System for Image-Guided Laser Treatment. IEEE Transaction on Biomedical,Vol. 49, No. 0 Sep. 2002.
15. Oille P. Morphological image analysis: principles and applications. 2nd ed., Heidelberg: Springer; 2003.
16. Rafael C. Gonzales, Richard E. Woods. Digital image processing. Second Edition by Prentice Hall , 2002