Fringe noise removal of retinal fundus images using trimming regions - Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition - page 57

[22] The University of Iowa and the ROC organizers (Michael D. Abramoff, Bram van Gin-
neken and Meindert Niemeijer). Retinopathy Online Challenge, viewed Feb. 2014, ht-
tp://webeye.ophth.uiowa.edu/ROC/var.1/www/ ; 2007.
[23] School of Computer Science, The University of Birmingham. Collection of multispec-
tral images of the fundus, viewed Feb. 2014, htp://www.cs.bham.ac.uk/research/pro-
jects/fundus-multispectral/&gt ; 2014.
[24] TECHNO-VISION Project. Methods to evaluate segmentation and indexing tech-
niques in the field of retinal ophthalmology, viewed Feb. 2014, ht-
tp://messidor.crihan.fr/index-en.php ; 2014.
[25] Zhang Z, Yin FS, Liu J, Wong WK, Tan NM, Lee BH, Cheng J, Wong TY. ORIGA-light:
an online retinal fundus image database for glaucoma analysis and research. In: 32nd annual
international conference of the IEEE EMBS, Argentina; 2010:3065-3068.
[26] Ektesabi A, Kapoor A. Removal of circular edge noise of retinal fundus images. In: In-
ternational conference on image processing, computer vision and patern recognition
(IPCV'14), Las Vegas; 2014.
[27] Ektesabi A, Kapoor A. Exact pupil and iris boundary detection. 1217-1221. Internation-
al conference on control, instrumentation, and automation (ICCIA), Shiraz. 2011;vol. 2.