Centroid Locating for Star Image Object by FPGA

Abstract:

Fast and accurately centroid locating can makes the star image recognition more efficient. The Gauss curve fitting method has higher accurate than traditional centroid locating. The process of centroid locating was investigated with the parallel character of FPGA. First, the star image was divided with the method of average threshold. Secondly, the star pixel was recognized by moving a 3×3 template. Finally, used the Gauss curve fitting method to located star centroid. The algorithm for image divided, star pixel recognition and Gauss curve fitting methods was realized in the same time by FPGA. A simulation was done by combining the computer with the hardware circuit. The results show that it spend less than 6ms to process a 512×512 star image and the locating precision less than 1/20 pixel when signal-to-ratio is less than 0.05. It indicates that centroid can be located accurately and fast by FPGA with Gauss curve fitting method.

• Periodical: Advanced Materials Research (Volumes 403-408)
• Pages: 1379-1383
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.403-408.1379
• Online since: November 2011
• Authors: Hao Jiang, Xiao Yu Fan
• Keywords: Centroid Locating, Field-Programmable Gate Array (FPGA), Gauss Curve Fitting Methods, Parallel Process, Star Image

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