Research on the Real-Time Image Edge Detection Algorithm Based on FPGA

被引：0
|
作者：
Hou, Xuefeng [1 ,2 ]
Shang, Yuanyuan [1 ,2 ]
Liu, Hui [1 ,2 ]
Song, Qian [3 ]
机构：
[1] Capital Normal Univ, Coll Informat Engn, Beijing, Peoples R China
[2] Capital Normal Univ, Beijing Engn Res Ctr, High Reliable Embedded Syst, Beijing, Peoples R China
[3] Chinese Acad Sci, Natl Astron Observ, Beijing 100864, Peoples R China
来源：
ADVANCED RESEARCH ON COMPUTER SCIENCE AND INFORMATION ENGINEERING | 2011年 / 153卷
关键词：
FPGA; Roberts; Sobel; Kirsch; Prewitt; Edge detection;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Real-time and effective is the bottleneck of edge detection algorithm. In this paper, six different kinds of classical edge detection algorithm is studied and compared by simulating in MATLAB. The result reveals that three operators, such as Roberts, Sobel and Kirsch are better than the others through the comparison of the edge detection accurateness. In order to improve this performance, the real-rime image edge detection system based on FPGA is designed. which contains image buffer module, operator calculation module and threshold processing module. The testing consequence shows that Sobel edge detection operator is more superior in the limit resources hardware platform.
引用
收藏
页码：200 / +
页数：2
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