Research on registration algorithm based on feature points for human eye retina images
文献类型:会议论文
作者 | Liu Yuran; Yang Huizhend; Su Liyunc; Zhang Yudong; Rao Xuejun |
出版日期 | 2009 |
会议名称 | Proceedings of SPIE |
会议日期 | 2009 |
卷号 | 7283 |
通讯作者 | Liu Yuran |
中文摘要 | 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. |
英文摘要 | 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. |
收录类别 | EI |
语种 | 英语 |
源URL | [http://ir.ioe.ac.cn/handle/181551/7723] ![]() |
专题 | 光电技术研究所_自适应光学技术研究室(八室) |
作者单位 | 中国科学院光电技术研究所 |
推荐引用方式 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]. 见:Proceedings of SPIE. 2009. |
入库方式: OAI收割
来源:光电技术研究所
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