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Proceedings Paper

Research on registration algorithm based on feature points for human eye retina images
Author(s): Yuran Liu; Huizhen Yang; Liyun Su; Yudong Zhang; Xuejun Rao
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Paper Abstract

As a rule, according to the characteristics of living retinal images, such as gray and resolution unconsistency, some differences in detail, etc, it is a fairly difficult problem to carry out images stitching. In this paper, a robust image registration method based on feature points is proposed. To begin with, use RANSAC method to make rough match for the corner. Then, Mahalanobis distance is applied in the accurate purification. Finally, execute the image stitching with the purified corner. Practical experiments and application show that the proposed approach is feasible and effective.

Paper Details

Date Published: 20 May 2009
PDF: 6 pages
Proc. SPIE 7283, 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 72832P (20 May 2009); doi: 10.1117/12.828723
Show Author Affiliations
Yuran Liu, Institute of Optics and Electronics (China)
Graduate School of the Chinese Academy of Sciences (China)
Huizhen Yang, Huaihai Institute of Technology (China)
Liyun Su, Chongqing Institute of Technology (China)
Yudong Zhang, Institute of Optics and Electronics (China)
Xuejun Rao, Institute of Optics and Electronics (China)


Published in SPIE Proceedings Vol. 7283:
4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
Yudong Zhang; James C. Wyant; Robert A. Smythe; Hexin Wang, Editor(s)

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