Title :
High-precision algorithm for centroid location of star pattern recognition
Author :
Xu Wencong ; Chu Tianguang
Author_Institution :
Coll. of Eng., Peking Univ., Beijing, China
Abstract :
This paper presents a high-precision algorithm for locating centroid of star patterns. First, the Gaussian distribution is used to approximate the intensity distribution of pixels and thereby to generate a simulation image with a bright spot. Then, methods of normal vectors and singular value decomposition are applied to obtain the least square solutions for the the centroid coordinates of the spot. Numerical simulation shows that the present method can give more accurate results. Finally, application of the proposed algorithm to the problem of telescope optical imaging distortion correction is discussed.
Keywords :
Gaussian distribution; image recognition; least squares approximations; optical distortion; singular value decomposition; stars; telescopes; Gaussian distribution; centroid location; high precision algorithm; image pixel; intensity distribution; least square solution; singular value decomposition; star pattern recognition; telescope optical imaging distortion correction; Approximation algorithms; Electronic mail; Equations; Optical distortion; Optical imaging; Pattern recognition; Singular value decomposition; Centroid Location; Distortion Correction; Normal Equation Method; Singular Value Decomposition; Star Pattern Recognition; The Gaussian Distribution;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6
