| 基于Zynq的实时视频图像角点检测系统 |
| Real-time Video Image Corner Detection Based on the ZYNQ |
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| 中文摘要: |
| 针对在机器视觉测量应用中待测关键点的自动识别与定位中的角点信息的提取问题，以ZYNQ系列可拓展平台内部ARM+FPGA的异构架构为基础，采用软硬件协同设计方法，搭建了一套可进行实时视频图像角点检测的系统。利用Vivado HLS工具，将角点检测算法封装成可以部署到PL端的IP核，极大地缩短了开发周期；对系统中各个模块进行了合理的任务分配，使得系统拥有ARM的灵活性以及FPGA的并行处理能力，展现了并行异构架构的优势。该系统中图像算法IP核可以进行灵活的算法替换和更新，为基于机器视觉检测的小型化应用提供了重要参考。 |
| 英文摘要: |
| Aiming at the problem of corner information extraction in automatic recognition and location of key points to be measured in machine vision measurement applications, a real-time video image corner detection system is built based on the heterogeneous architecture of ARM+FPGA in ZYNQ series expandable platform, using hardware and software co-design method. Using Vivado HLS tools, corner detection algorithm is encapsulated into an IP core that can be deployed to the PL end, which greatly shortens the development cycle. Reasonable task allocation is made for each module of the system, which makes the system have the flexibility of ARM and the parallel processing ability of FPGA, and shows the advantages of parallel heterogeneous architecture. The IP core of image algorithm in the system can be replaced and updated flexibly, which provides an important reference for miniaturized application based on machine vision detection. |
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| 中文关键词: ZYNQ 视频图像 FAST 角点检测 |
| 英文关键词:ZYNQ video-image FAST corner detection |
| 基金项目: |
| DOI：10.11823/j.issn.1674-5795.2019.03.07 |
| 引用本文：李明 ，武腾飞，赵春播，韩继博.基于Zynq的实时视频图像角点检测系统[J].计测技术,2019,39(3):. |
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