基于FPGA的实时彩色图像边缘检测算法的实现

陈虎; 凌朝东; 张浩; 杨骁; 汤炜

doi:10.3788/YJYXS20153001.0143

您当前的位置：

首页 >

文章列表页 >

基于FPGA的实时彩色图像边缘检测算法的实现

成像技术与图像处理 | 更新时间：2020-08-12

- 基于FPGA的实时彩色图像边缘检测算法的实现
- Real-time FPGA-based implementation of color image edge detection algorithm
- 液晶与显示 2015年30卷第1期页码：143-150
- 作者机构：
  
  1. 华侨大学信息科学与工程学院,福建厦门,361021
  2. 厦门市专用集成电路系统重点实验室,福建厦门,361008
- 作者简介：
- 基金信息：
  
  福建省自然科学基金(No.2011J01351)();福建省科技计划重点项目(No.2013H0029)();泉州市科技计划项目(No.2013Z33)()
- DOI：10.3788/YJYXS20153001.0143
  中图分类号： TN911.73
- 收稿日期：2014-03-24，
  
  修回日期：2014-04-23，
  
  纸质出版日期：2015-02-05
- 稿件说明：
移动端阅览
陈虎, 凌朝东, 张浩, 杨骁, 汤炜. 基于FPGA的实时彩色图像边缘检测算法的实现[J]. 液晶与显示, 2015,30(1): 143-150

CHEN Hu, LING Chao-dong, ZHANG Hao, YANG Xiao, TANG Wei. Real-time FPGA-based implementation of color image edge detection algorithm[J]. , 2015,30(1): 143-150
陈虎, 凌朝东, 张浩, 杨骁, 汤炜. 基于FPGA的实时彩色图像边缘检测算法的实现[J]. 液晶与显示, 2015,30(1): 143-150 DOI： 10.3788/YJYXS20153001.0143.

CHEN Hu, LING Chao-dong, ZHANG Hao, YANG Xiao, TANG Wei. Real-time FPGA-based implementation of color image edge detection algorithm[J]. , 2015,30(1): 143-150 DOI： 10.3788/YJYXS20153001.0143.

摘要

针对传统的基于灰度图像的边缘检测算法抗噪能力弱、对方向敏感、获取边缘细节信息较粗等不足

本文通过分析彩色图像的特点

提出一种改进的Sobel算子与快速中值滤波相结合的彩色图像边缘检测算法

通过扩展边缘检测算子的方向模板

提高Sobel算子对纹理复杂图像的适应能力及抵抗噪声的能力.该改进算法在Altera DE2-70 FPGA硬件开发平台上

应用Verilog HDL语言与Quartus II中的可编程宏功能模块实现.实验结果表明

该算法的处理只占用了约2%的系统硬件资源

资源占用相对合理

且图像边缘定位准确

抗噪能力强

能够实时有效地提取出彩色图像的边缘.

Abstract

Traditional grayscale-based image edge detection algorithms generally suffer from the disadvantages in weak anti-noise ability

sensitivity to direction and coarse edge details. Based on the analysis of statistics and characteristics of color images

this paper presents a modified algorithm for color image edge detection that combines the Sobel operator and a fast median filtering. By expanding the direction templates of the edge detection operator

the modified algorithm can improve the abilities to adapt the complex texture images and resist strong noises. The modified algorithm is implemented on the Altera DE2-70 FPGA hardware development platform by programming with the Verilog HDL language and the Megafunctions of Quartus II. The experimental results show that the processing of the modified algorithm reasonably takes up only about 2% of system hardware resources to accurately locate the image edges and efficiently extract the edges of color images in real time under strong noises.

关键词

Keywords

references

曹杨, 苏丽娜, 沈琪, 等. 一种改进的 Sobel 边缘检测算法的设计及其 FPGA实现[J]. 微电子学与计算机, 2012, 29(10): 124-127. Cao Y, Su L N, Shen Q, et al.Design and realization of improved sobel edge detection algorithm based on FPGA [J].Microelectronics & Computer,2012, 29(10): 124-127.(in Chinese)[2] Xin G, Ke C, Xiaoguang H. An improved Canny edge detection algorithm for color image [C]// 2012 10th IEEE International Conference on Industrial Informatics (INDIN), IEEE,2012: 113-117.[3] 刘博超, 赵建, 孙强. 基于边缘改进的 Harris 角点检测方法[J]. 液晶与显示, 2013, 28(6): 939-942. Liu B C, Zhao J, Sun Q. Improved Harris corner detection method based on edge [J].Chinese journal of Liquid Crystals and Displays,2013, 28(6): 939-942. (in Chinese)[4] 陈娟, 陈乾辉, 师路欢, 等. 图像跟踪中的边缘检测技术[J]. 中国光学与应用光学, 2009, 2(1):46-53. Chen J, Chen Q K, Shi L H, et al.Edge detection technology in imaging tracking [J].Chinese Journal of Optics and Applied Optics,2009, 2(1):46-53. (in Chinese)[5] 张凤晶, 白新伟, 于光,等. 一种基于Sobel的彩色图像边缘检测新算法[J]. 长春理工大学学报(自然科学版), 2012, 35 (1): 122-124. Zhang F J, Bai X W, Yu G, et al.A new arithmetic of color image edge detection based on sobel operator [J].Journal of Changchun University of Science and Technology (Natural Science Edition),2012, 35 (1): 122-124. (in Chinese)[6] ZhouY L, Huang C,Zhai L F. A median image filtering algorithm based on statistical histogram [C]// 2013 Fifth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), IEEE,2013: 17-20.[7] 陶李, 王珏, 邹永宁, 等. 改进的 Zernike 矩工业 CT 图像边缘检测[J]. 中国光学, 2012, 5(1): 48-56. Tao L, Wang Y, Zou Y N, et al.Improved Zernike moment of method for industrial CT image edge detection [J].Chinese Optics,2012, 5(1): 48-56. (in Chinese)[8] 王田, 刘伟宁, 孙海江, 等. 基于复杂度和方向梯度的红外弱小目标检测方法[J]. 液晶与显示, 2012, 27(5): 692-696. Wang T, Liu W N,et al.Detecting algorithm of infrared small dim targets based on complexity and orientation gradient [J].Chinese journal of Liquid Crystals and Displays,2012, 27(5): 692-696. (in Chinese)[9] 马宇飞. 基于梯度算子的图像边缘检测算法研究[D]. 西安电子科技大学, 2012. Ma Y F. Research on image edge detection based on gradient operators[D]. Xidian University, 2012. (in Chinese)[10] 杨新华, 寇为刚. 基于 FPGA 的 Sobel 算子图像边缘检测算法[J]. 仪表技术与传感器, 2013(1): 34. Yang X H, Dou W G. Sobel operation image edge detection algorithm based on FPGA [J].Instrument Technique and Sensor,2013(1): 34. (in Chinese)[11] 冯辉宗, 陈叶, 徐洋. 基于 FPGA 的实时图像采集与 Sobel 边缘检测[J]. 传感器与微系统, 2011, 30(6): 116-118. Feng H Z, Chen Y, Xu Y. Real-time image acquisition and Sobel edge detection based on FPGA [J].Transducer and Microsystem Technologies,2011, 30(6): 116-118. (in Chinese)[12] 刘紫燕. 实时图像边缘检测的设计及 FPGA 实现 [J]. 电子科技, 2011, 24(12): 1-3. Liu Z Y. Edge detection of real-time image based on FPGA [J]. Electronic Science & Technology,2011, 24(12): 1-3. (in Chinese)[13] 王瑞, 刘广斌. 基于FPGA的图像快速中值滤波算法实现[J]. 计算机工程与应用, 2010, 46(9S):32-34. Wang R, Liu G B. Hardware implementation of median filter based on FPGA for image processing [J].Computer Engineering and Application,2010, 46(9S):32-34. (in Chinese)[14] 王军辉, 李瑞克, 刘小洋. 基于改进 Sobel 算法的实时边缘检测系统[J]. 计算机与数字工程, 2012, 40(6): 130-132. Wang J H, Li R K, Liu X Y. Real-time edge detection system based improved Sobel algorithm [J].Computer &Digital Engineering,2012, 40(6): 130-132. (in Chinese)[15] Alghurair D, Al-Rawi S S. Design of Sobel operator usingfield programmable gate arrays [C]//2013 International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), IEEE, 2013: 589-594.[16] 温建平. 人脸检测算法及其 FPGA 实现[D]. 上海:华南理工大学, 2012. Wen J P. Face Detection algorithm and its FPGA implementation[D]. Shanghai:South China University of Technology. 2012. (in Chinese)[17] 熊琰, 龚华军, 沈晔青. 一种快速有效的彩色图像边缘检测方法[J]. 计算机技术与发展, 2007, 17(4): 128-130. Xiong Y, Gong H J,Shen Y Q. Feature point detection based on color image [J].Computer Technology and Development,2007, 17(4):128-130. (in Chinese)[18] 张丽红, 凌朝东. 基于 FPGA 的 Sobel 边缘检测应用[J]. 电子技术与应用, 2011, 37(8): 26-29. Zhang L H, Ling C D. Application of Sobel edge detection based on FPGA [J].The application of electronic technology,2011, 37(8): 26-29. (in Chinese)[19] 李明, 赵勋杰, 毛伟民. Sobel 边缘检测的 FPGA 实现[J]. 现代电子技术, 2009, 16: 44-46. Li M, Zhao X J, Mao W M. Implementation of Sobel edge detection based on FPGA [J].Modern Electronic Technology,2009, 16: 44-46. (in Chinese)[20] Singh S, Saini A K, Saini R. Real-time FPGA based implementation of color image edge detection [J].International Journal of Image, Graphics and Signal Processing (IJIGSP),2012, 4(12): 19-25.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

RGB深度图像显著性目标检测方法设计

基于经验模态分解的激光散斑噪声抑制方法

基于深度学习的木材表面缺陷图像检测

对数域梯度与改进Sobel算子相结合的边缘检测

基于FPGA的光条中心线实时提取方法