Image Acquisition and Processing System based on ZYNQ

Author:

Li Jun,Hou Qiong,Zhou Yingjie

Abstract

With the advancement of manufacturing processes, imaging sensors have become more and more sophisticated, the amount of image data generated is increasing, and application scenarios and functional algorithms have become more and more complex. The traditional serial processing method can no longer meet the real-time requirements of image processing. The use of hardware to accelerate image algorithms has become a basic trend in image acquisition and processing systems. Xilinx’s Zynq7000 series chip integrates a dual-core A9 series ARM processor (PS) and an A7 series FPGA (PL). The industry standard AXI interface (advanced extensible interface) is used for information between ARM and FPGA. Interactive. This paper designs an image acquisition and processing system based on Zynq, which collects images through OV5640, uses Zynq as the main control chip to analyze and process the image data, and uses RGB LCD for image display. This article develops the OV5640 video capture IP, LCD driver IP, and image edge detection IP, and calls these key IPs in the ZYNQ system to establish an image capture and processing system that integrates image data collection, transmission, storage, image display, and edge extraction. The overall effect of the system is good, and it can effectively detect the edge information of the target. At the same time, the image collection and display can reach the design target of 60 frames per second, which has strong applicability.

Publisher

Boya Century Publishing

Reference5 articles.

1. Jing Zhang: Research on Absolute Angle position sensor based on machine vision. (MS,Beijing Jiaotong University,China,2014), p.16.

2. Kang Yang: Design of video image acquisition and edge detection system based on FPGA. (MS,Anhui University,China,2019), p.18.

3. Sen Ye: Research on edge adaptive image scaling algorithm and VLSI Implementation. (MS, Zhejiang University,China,2012), p.17.

4. Chao Li: Research and Implementation of Edge feature Matching Algorithm based on ZynQ-7000 Platform. (MS, Nanjing University of Posts and Telecommunications,China,2018), p.20.

5. Weixue Wu: Design of image acquisition and processing system based on FPGA. (MS, South China University of Technology,China,2015), p.20.

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