Paper
8 June 2023 Implementation of single-scan star centroid extraction algorithm based on FPGA
Mingcheng Zhao, Shihong Yang, Rujin Zhao, Zheng Jin
Author Affiliations +
Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 1270748 (2023) https://doi.org/10.1117/12.2681367
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China
Abstract
In this paper, the connected component labeling and centroid extraction algorithm of single scan are implemented in FPGA. The scheme meets the requirements of high precision and real time of target extraction. This solution uses Block RAM to build dual-port ram instead of Look-Up-Table and register for feature data storage, the FPGA logic resource occupation is less; the connected component labeling method is used to process the labelling and pixel data in parallel, and the gray centroid of the target is calculated according to the stored information, the error is less than 0.045 pixels, the accuracy of the calculation results is improved; it only needs to scan the whole image once, reducing the processing time, at the same time, FPGA is used to combine several steps, such as threshold segmentation, connected component labeling and gray centroid calculation, processing 640x480 images at 50MHz clock can reach 124f/s, It meets the real-time requirement of centroid extraction.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mingcheng Zhao, Shihong Yang, Rujin Zhao, and Zheng Jin "Implementation of single-scan star centroid extraction algorithm based on FPGA", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 1270748 (8 June 2023); https://doi.org/10.1117/12.2681367
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KEYWORDS
Image processing

Stars

Field programmable gate arrays

Detection and tracking algorithms

Image segmentation

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