| Research on registration algorithm based on feature points for human eye retina images | |
| Liu Yuran; Yang Huizhend; Su Liyunc; Zhang Yudong; Rao Xuejun | |
| Volume | 7283 |
| 2009 | |
| Language | 英语 |
| Indexed By | Ei |
| Subtype | 会议论文 |
| 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.; 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. |
| Conference Name | Proceedings of SPIE |
| Conference Date | 2009 |
| Document Type | 会议论文 |
| Identifier | http://ir.ioe.ac.cn/handle/181551/7723 |
| Collection | 自适应光学技术研究室（八室） |
| Corresponding Author | Liu Yuran |
| Affiliation | 中国科学院光电技术研究所 |
| Recommended Citation GB/T 7714 | Liu Yuran,Yang Huizhend,Su Liyunc,et al. Research on registration algorithm based on feature points for human eye retina images[C],2009. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 2009-032.pdf（336KB） | 会议论文 | 开放获取 | CC BY-NC-SA | Application Full Text | ||
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