Paper
6 November 2023 Real-time light stripe centerline extraction with the ZYNQ
Author Affiliations +
Proceedings Volume 12921, Third International Computing Imaging Conference (CITA 2023); 1292153 (2023) https://doi.org/10.1117/12.2692014
Event: Third International Computing Imaging Conference (CITA 2023), 2023, Sydney, Australia
Abstract
In the real-time structured light 3D measurement, there are issues such as low throughput and slow measurement speed in the extraction of light stripe centerline by computer software and hardware processors like ARM. This paper designs a real-time system for extracting the light stripe centerline based on the ZYNQ-7000. Firstly, the thresholding segmentation of light stripe image is implemented by using the Otsu’s method. Secondly, the Gaussian filter is used to remove the effect of noise. Finally, the centerline of light stripe is extracted by using the grayscale gravity method. The image processing algorithm is converted from C++ to Verilog language and packaged into an IP core using the Xilinx HLS tool. This paper successfully processes the input video signal with the spatial resolution of 1920×1080 pixels and displays the extracted centerline of light stripe on the HDMI display at the frame rate of 30 fps. The test results show that the system can meet the real-time requirement for light stripe centerline extraction in the engineering application.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hang Dong, Fuzhong Bai, Yongxiang Xu, and Ping Li "Real-time light stripe centerline extraction with the ZYNQ", Proc. SPIE 12921, Third International Computing Imaging Conference (CITA 2023), 1292153 (6 November 2023); https://doi.org/10.1117/12.2692014
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KEYWORDS
Image processing

Video

Video processing

Algorithm development

Data conversion

Structured light

Image segmentation

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