Computer Science ›› 2017, Vol. 44 ›› Issue (Z11): 530-533.doi: 10.11896/j.issn.1002-137X.2017.11A.112

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Design and Implementation of Image Corner and Edge Detection System Based on Zynq

PAN Qing-song, ZHANG Yi, YANG Zong-ming and QIN Jian-xiu   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Based on Zynq chip,the whole system is implemented with hardware and software co-design method.ARM+FPGA is used as internal architecture of the Zynq,so it has both of their advantages,which are flexibility of ARM and parallel processing capability of FPGA.The two advantages are fully used in this system.Image acquisition is implemented by ARM software design.Corner and edge detection is implemented by FPGA hardware design.The ARM processor and FPGA did the data interaction through bus AX14.This system has 3 main functions,which are image acquisition,image feature extraction and image display.The results show that this system implemented by Zynq,which used hardware acceleration algorithm,is 6 to 8 times faster than that of implemented only by ARM processor.

Key words: Zynq,FPGA,Feature extraction,Hardware and software co-design

[1] 陈军.基于ARM-Linux的嵌入式产品平台构建[D].杭州:浙江大学,2004.
[2] 唐敏.基于边缘和角点的特征提取方法与应用研究[D].长沙:国防科技大学,2006.
[3] 陈勇.基于机器视觉的表面缺陷检测系统的算法研究及软件设计[D].天津:天津大学,2006.
[4] 陈然.工业相机的自动调焦与图像拼接研究及在桥梁检测机器人中的应用[D].广州:华南理工大学,2014.
[5] 王阿妮,马彩文,晃长征,等.基于边缘相关的红外与可见光图像配准方法[J].现代电子技术,2009,2(10):104-106.
[6] 尚春红,赵明昌.复杂背景图像中军用靶子识别算法研究[J].计算机应用,2008,28(5):1257-1260.
[7] 宋余庆.数字医学图像[M].北京:清华大学出版社,2008.
[8] ARBELAEZ P,MAIRE M,FOWLKES C,et al.Contour detection and hierarchical image segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2010,33(5):898-916.
[9] SCHAPIRE R E.The boosting approach to machine learning:an overview[C]∥MSRI Workshop on Nonlinear Estimation and Classification.Berkeley,CA,2002:312-318.
[10] 薛金龙.基于角点的图像特征提取与匹配算法研究[D].大连:大连理工大学,2014.
[11] ROSTEN E,DRUMMOND T.Machine learning for high speed corner detection[C]∥9th European Conference on Computer Vision.2006:430-443.
[12] 陆启帅,陆彦婷,王地.SoC与嵌入式Linux设计实战指南:兼容ARM Cortex-A9的设计方法[M].北京:清华大学出版社,2014:274-278.
[13] 杨霞.基于OMAP3530以太网视频采集系统的设计与实现[D].南京:南京邮电大学,2011.

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