10 February 2017 Measuring dispersed spot of positioning CMOS camera from star image quantitative interpretation based on a bivariate-error least squares curve fitting algorithm
Author Affiliations +
Proceedings Volume 10250, International Conference on Optical and Photonics Engineering (icOPEN 2016); 102500T (2017) https://doi.org/10.1117/12.2266810
Event: Fourth International Conference on Optical and Photonics Engineering, 2016, Chengdu, China
Abstract
For a positioning CMOS camera, we put forward a system which can measure quantitatively dispersed spot parameters and the degree of energy concentration of certain optical system. Based on this method, the detection capability of the positioning CMOS camera can be verified. The measuring method contains some key instruments, such as 550mm collimator, 0.2mm star point, turntable and a positioning CMOS camera. Firstly, the definition of dispersed spot parameters is introduced. Then, the steps of measuring dispersed spot parameters are listed. The energy center of dispersed spot is calculated using centroid algorithm, and then a bivariate-error least squares curve Gaussian fitting method is presented to fit dispersion spot energy distribution curve. Finally, the connected region shaped by the energy contour of the defocused spots is analyzed. The diameter equal to the area which is 80% of the total energy of defocused spots and the energy percentage to the 3×3 central area of the image size are both calculated. The experimental results show that 80% of the total energy of defocused spots is concentrated in the diameter of the inner circle of 15μm, and the percentage to the 3×3 pixels central area can achieve 80% and even higher. Therefore, the method meets the needs of the optical systems in positioning CMOS camera for the imaging quality control.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fan Bu, Yuehong Qiu, Dalei Yao, Xingtao Yan, "Measuring dispersed spot of positioning CMOS camera from star image quantitative interpretation based on a bivariate-error least squares curve fitting algorithm", Proc. SPIE 10250, International Conference on Optical and Photonics Engineering (icOPEN 2016), 102500T (10 February 2017); doi: 10.1117/12.2266810; https://doi.org/10.1117/12.2266810
PROCEEDINGS
6 PAGES


SHARE
RELATED CONTENT

The "+" for CRIRES enabling better science at infrared...
Proceedings of SPIE (August 09 2016)
Design and simulation of a novel APS star tracker
Proceedings of SPIE (January 27 2009)
New Worlds Observer tolerance overview
Proceedings of SPIE (September 20 2007)
Testing Giano spectral stability
Proceedings of SPIE (September 24 2012)
Application of CMOS APS in star tracker
Proceedings of SPIE (September 20 2002)

Back to Top