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Image Filtering and Edge Detection System Based on FPGA

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Communications, Signal Processing, and Systems (CSPS 2021)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 879))

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Abstract

The edge of the feature image contains rich data information, which is an important feature information of the image. The real-time display of the image is required in the actual system. In this paper, a real-time image filtering and edge detection system is designed by using Gaussian filtering and Sobel edge detection algorithm. The system is implemented on FPGA. According to the processing flow of image acquisition, image processing and image display, the function of real-time image display on the screen is realized. The image display effect under different threshold settings is compared, and the appropriate threshold settings are proposed.

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Authors and Affiliations

  1. School of Intelligence and Electronic Engineering, Dalian Neusoft University of Information, Dalian, 116023, China

    Xiaodong Sun, Zhiqiang Wang & Wei Jing

Authors
  1. Xiaodong Sun
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  2. Zhiqiang Wang
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  3. Wei Jing
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Corresponding author

Correspondence to Xiaodong Sun .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. Tianjin Normal University, Tianjin, China

    Wei Wang

  3. Dalian University of Technology, Dalian, China

    Xin Liu

  4. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Sun, X., Wang, Z., Jing, W. (2022). Image Filtering and Edge Detection System Based on FPGA. In: Liang, Q., Wang, W., Liu, X., Na, Z., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2021. Lecture Notes in Electrical Engineering, vol 879. Springer, Singapore. https://doi.org/10.1007/978-981-19-0386-1_19

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  • DOI: https://doi.org/10.1007/978-981-19-0386-1_19

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-0385-4

  • Online ISBN: 978-981-19-0386-1

  • eBook Packages: EngineeringEngineering (R0)

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