Parallax adjustment algorithm based on Susan-Zernike moments

Yan Deng; Kun Zhang; Xiaoqin Shen; Huiyun Zhang

doi:10.1117/12.2288750

19 February 2018 Parallax adjustment algorithm based on Susan-Zernike moments

Yan Deng, Kun Zhang, Xiaoqin Shen, Huiyun Zhang

Proceedings Volume 10608, MIPPR 2017: Automatic Target Recognition and Navigation; 106080S (2018) https://doi.org/10.1117/12.2288750
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China

Abstract

Precise parallax detection through definition evaluation and the adjustment of the assembly position of the objective lens or the reticle are important means of eliminating the parallax of the telescope system, so that the imaging screen and the reticle are clearly focused at the same time. An adaptive definition evaluation function based on Susan-Zernike moments is proposed. First, the image is preprocessed by the Susan operator to find the potential boundary edge. Then, the Zernike moments operator is used to determine the exact region of the reticle line with sub-pixel accuracy. The image definition is evaluated only in this related area. The evaluation function consists of the gradient difference calculated by the Zernike moments operator. By adjusting the assembly position of the objective lens, the imaging screen and the reticle will be simultaneously in the state of maximum definition, so the parallax can be eliminated. The experimental results show that the definition evaluation function proposed in this paper has the advantages of good focusing performance, strong anti-interference ability compared with the other commonly used definition evaluation functions.

Citation Download Citation

Yan Deng, Kun Zhang, Xiaoqin Shen, and Huiyun Zhang "Parallax adjustment algorithm based on Susan-Zernike moments", Proc. SPIE 10608, MIPPR 2017: Automatic Target Recognition and Navigation, 106080S (19 February 2018); https://doi.org/10.1117/12.2288750

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