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Research on registration algorithm based on feature points for human eye retina images
Liu Yuran; Yang Huizhend; Su Liyunc; Zhang Yudong; Rao Xuejun
Volume7283
2009
Language英语
Indexed ByEi
Subtype会议论文
AbstractAs 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 NameProceedings of SPIE
Conference Date2009
Document Type会议论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/7723
Collection自适应光学技术研究室(八室)
Corresponding AuthorLiu 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.
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