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Real-time image processing algorithms for an automated retinal laser surgery system

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4 Author(s)
D. E. Becker ; Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA ; J. N. Turner ; H. Tanenbaum ; B. Roysam

Although laser retinal surgery is the best available treatment for a variety of ophthalmic disorders, the current procedure has a success rate of less than 50%. A computer-controlled instrument is under development for minimizing this failure rate. This paper presents core image-processing methods used for this system. The image-processing problems of interest in this paper are (i) the computation of a retinal map from video retinal angiograms, and (ii) real-time eye tracking and location determination during laser surgery. The algorithms described here comprise of a fast method for detecting retinal landmark feature points, a fast method for matching feature-tagged point sets, feature-based method for montaging retinal angiograms, and an algorithm for real-time image tracking

Published in:

Image Processing, 1995. Proceedings., International Conference on  (Volume:1 )

Date of Conference:

23-26 Oct 1995