Tracking features in retinal images of adaptive optics confocal scanning laser ophthalmoscope using KLT-SIFT algorithm.
With the use of adaptive optics (AO), high-resolution microscopic imaging of living human retina in the single cell level has been achieved. In an adaptive optics confocal scanning laser ophthalmoscope (AOSLO) system, with a small field size (about 1 degree, 280 μm), the motion of the eye severely affects the stabilization of the real-time video images and results in significant distortions of the retina images. In this paper, Scale-Invariant Feature Transform (SIFT) is used to abstract stable point features from the retina images. Kanade-Lucas-Tomasi(KLT) algorithm is applied to track the features. With the tracked features, the image distortion in each frame is removed by the second-order polynomial transformation, and 10 successive frames are co-added to enhance the image quality. Features of special interest in an image can also be selected manually and tracked by KLT. A point on a cone is selected manually, and the cone is tracked from frame to frame.
Hao
H
Li
Jing
J
Lu
Guohua
G
Shi
Yudong
Y
Zhang
Opt Express. 2005 Jun 13;13(12):4792-811
19495398
J Opt Soc Am A Opt Image Sci Vis. 1997 Nov;14(11):2884-92
9379246
Opt Express. 2006 Jan 23;14(2):487-97
19503363
Opt Express. 2002 May 6;10(9):405-12
19436374
Nature. 1999 Feb 11;397(6719):520-2
10028967
Opt Lett. 2004 Sep 15;29(18):2142-4
15460883
Opt Express. 2007 Oct 17;15(21):13731-44
19550644
Opt Express. 2005 Oct 17;13(21):8532-8546
19096728
Opt Lett. 2002 Mar 15;27(6):400-2
18007814