Photoreceptor counting and montaging of en-face retinal images from an adaptive optics fundus camera
JOSA A, Vol. 24, Issue 5, pp. 1364-1372 (2007)
http://dx.doi.org/10.1364/JOSAA.24.001364
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Abstract
A fast and efficient method for quantifying photoreceptor density in images obtained with an en-face flood-illuminated adaptive optics (AO) imaging system is described. To improve accuracy of cone counting, en-face images are analyzed over extended areas. This is achieved with two separate semiautomated algorithms: (1) a montaging algorithm that joins retinal images with overlapping common features without edge effects and (2) a cone density measurement algorithm that counts the individual cones in the montaged image. The accuracy of the cone density measurement algorithm is high, with
© 2007 Optical Society of America
OCIS Codes
(010.1080) Atmospheric and oceanic optics : Active or adaptive optics
(100.2000) Image processing : Digital image processing
(100.2960) Image processing : Image analysis
(330.5310) Vision, color, and visual optics : Vision - photoreceptors
ToC Category:
Image Processing
History
Original Manuscript: August 15, 2006
Revised Manuscript: November 10, 2006
Manuscript Accepted: December 1, 2006
Published: April 11, 2007
Virtual Issues
Vol. 2, Iss. 6 Virtual Journal for Biomedical Optics
Citation
Bai Xue, Stacey S. Choi, Nathan Doble, and John S. Werner, "Photoreceptor counting and montaging of en-face retinal images from an adaptive optics fundus camera," J. Opt. Soc. Am. A 24, 1364-1372 (2007)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-24-5-1364
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