基于SoC FPGA的文字分割系统设计

邱德慧; 汪洋; 吴敏华

doi:10.3788/YJYXS20163110.0949

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基于SoC FPGA的文字分割系统设计

驱动与控制 | 更新时间：2020-07-07

- 基于SoC FPGA的文字分割系统设计
- Design of the text segmentation system based on SoC FPGA
- 液晶与显示 2016年31卷第10期页码：949-957
- 作者机构：
  
  首都师范大学信息工程学院, 北京 100048
- 作者简介：
  
  邱德慧(1975-), 女, 四川隆昌人, 博士, 副教授, 2011年于北京理工大学获得博士学位, 主要从事FPGA与嵌入式系统设计、机器人控制的研究。E-mail:qiudehui@126.com
- 基金信息：
  
  北京市教委面上基金项目(KM201510028014);the General Project of Beijing Municipal Commission of Education(KM201510028014)
- DOI：10.3788/YJYXS20163110.0949
  中图分类号： TN911.73
- 收稿日期：2016-06-15，
  
  录用日期：2016-8-11，
  
  纸质出版日期：2016-10
- 稿件说明：
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邱德慧, 汪洋, 吴敏华. 基于SoC FPGA的文字分割系统设计[J]. 液晶与显示, 2016,31(10):949-957.

De-hui QIU, Yang WANG, Min-hua WU. Design of the text segmentation system based on SoC FPGA[J]. Chinese journal of liquid crystals and displays, 2016, 31(10): 949-957.
邱德慧, 汪洋, 吴敏华. 基于SoC FPGA的文字分割系统设计[J]. 液晶与显示, 2016,31(10):949-957. DOI： 10.3788/YJYXS20163110.0949.

De-hui QIU, Yang WANG, Min-hua WU. Design of the text segmentation system based on SoC FPGA[J]. Chinese journal of liquid crystals and displays, 2016, 31(10): 949-957. DOI： 10.3788/YJYXS20163110.0949.

摘要

针对于传统PC机实现的图像采集与处理系统在功耗、移植性、实时性和体积上的局限性问题，本设计实现了基于FPGA和ARM硬核处理器整合的SoC FPGA的图像文字分割系统。基于SoC FPGA的硬件平台和移植的嵌入式Linux开发环境的软硬协同设计方法，实现了CMOS传感器的图像采集、SDRAM存储、双口RAM数据通信和VGA显示输出。同时，基于ARM的硬核处理系统（HPS）控制双口RAM读写图像数据，在HPS中实现图像的预处理和分水岭算法。实验结果表明：本系统具有较准确的文字分割效果，一幅图像实时文字分割的平均速度为0.87 s，比基于PC机的matlab环境和NIOS Ⅱ的SOPC系统上实现速度分别提高了0.84倍和4.52倍。本系统具有设计灵活，速度快、可移植性强的优点，对实时图像采集与处理系统的研究提供参考意义。

Abstract

In order to solve the problems of power consumption

portability

real-time and volume limitation of image acquisition and processing system based on PC

the text segmentation system based on SoC FPGA in-built hard-core ARM is designed. By co-design of hardware and software based on SoC FPGA hardware platform and embedded Linux development

the system realizes the image acquisition of the CMOS sensor

storage of SDRAM

data communication of two-port RAM and VGA display. In the meanwhile

ARM-based HPS controls dual-port RAM to read or write image data and the image preprocessing and watershed algorithm are implemented. Experimental results show that this system has the high accuracy of text segmentation and the real-time processing average speed of one image is 0.87 s

which is 0.84 and 4.52 times faster than that of PC-based MATLAB environment and SOPC system based on NIOS Ⅱ respectively. This system has the advantages of flexibility

high speed and good portability and there is the real-time image acquisition and processing system.

关键词

Keywords

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