Optic Disc and Optic Cup Segmentation Methodologies for Glaucoma Image Detection: A Survey

Table 2

Optic disc segmentation methods.

Authors	Year	Image processing technique	Performance metrics	Dataset	Number of images
Lupaşcu et al. [29]	2008	Circles passing through three noncollinear points	Success rate	DRIVE	40
Youssif et al. [17]	2008	Normalized DFI by means of a vessels’ direction matched filter	Success rate	STARE	81
Zhu and Rangayyan [30]	2008	Edge detection using canny and sobel methods and through transform	Success rate	DRIVE; STARE	40; 82
Welfer et al. [31]	2010	Adaptive morphological approach	Overlap (Acc)	DRIVE; DIARETDB1	40; 89
Aquino et al. [32]	2010	Morphological, edge detecting, and feature extraction techniques	Overlap (Acc)	MESSIDOR	1200
Tjandrasa et al. [33]	2012	Hough transform and active contours	Overlap (Acc)	DRIVE	30
Yin et al. [34]	2011	Model based segmentation	Overlap (Acc)	ORIGA	650
Cheng et al. [35]	2011	Peripapillary atrophy elimination	Overlapping error	ORIGA	650
Lu [36]	2011	Circular transformation	Overlap (Acc)	MESSIDOR; ARIA; STARE	1200; 120; 81
Dehghani et al. [37]	2012	Histogram matching	Success rate	DRIVE; STARE; Local	40; 81; 237
Zhang et al. [38]	2012	Projection with vessel distribution and appearance characteristics	Success rate	DRIVE	40
Fraga et al. [39]	2012	Fuzzy convergence and hough transform	Success rate	VARIA	120
Sinha and Babu [40]	2012	Optic disc localization using L1 minimization	Overlap (Acc)	DIARETDB0; DIARETDB1; DRIVE	130; 89; 40
Kumar and Sinha [28]	2013	Maximum intensity variation	Overlap (Acc); SN	MESSIDOR; DIARETDB0	40; 130