Research on registration algorithm based on feature points for human eye retina images

Yuran Liu; Huizhen Yang; Liyun Su; Yudong Zhang; Xuejun Rao

doi:10.1117/12.828723

20 May 2009 Research on registration algorithm based on feature points for human eye retina images

Yuran Liu, Huizhen Yang, Liyun Su, Yudong Zhang, Xuejun Rao

Proceedings Volume 7283, 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 72832P (2009) https://doi.org/10.1117/12.828723
Event: AOMATT 2008 - 4th International Symposium on Advanced Optical Manufacturing, 2008, Chengdu, Chengdu, China

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.

Citation Download Citation

Yuran Liu, Huizhen Yang, Liyun Su, Yudong Zhang, and Xuejun Rao "Research on registration algorithm based on feature points for human eye retina images", Proc. SPIE 7283, 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 72832P (20 May 2009); https://doi.org/10.1117/12.828723

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