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Design of embedded digital image processing system based on ZYNQ

  • Published:2021-06 Issue: Volume:83 Page:104005
  • ISSN:0141-9331
  • Container-title:Microprocessors and Microsystems
  • language:en
  • Short-container-title:Microprocessors and Microsystems

Author:

Liu Jin,Feng Jie

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Software

Reference20 articles.

1. FPGA based accelerator for visual features detection;Brenot,2015

2. Embedded vision systems: a review of the literature;Deepayan,2018

3. High-speed smart camera with high resolution[J];Mosqueron;EURASIP J. Embed. Syst,2007

4. Efficient smart CMOS Zynq based on FPGAs oriented to embedded image processing;Bravo;Sensors,2011

5. A monocular vision sensorbased efficient SLAM method for indoor service robots;Tae-Jae;IEEE Trans. Ind. Electron.,2019

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1. Development of a System Based on a Graphical User Interface Using MATLAB Tools;2024 35th Conference of Open Innovations Association (FRUCT);2024-04-24

2. Retraction notice to “Design of Embedded Digital Image Processing System Based on Zynq” [Microprocessors and Microsystems 83 (2021) 104005];Microprocessors and Microsystems;2024-02

3. Design of Visual Communication Digital System Based on CAD;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

4. Extraction of image features based on the HOG method in the HSV color space;2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA);2022-12-19

5. Automated quantification system for vision through polymer‐dispersed liquid crystal double‐glazed windows: Circuit implementation;IET Circuits, Devices & Systems;2022-11-27
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