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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Research on the Real-Time Image Edge Detection Algorithm Based on FPGA
verfasst von : Xuefeng Hou, Yuanyuan Shang, Hui Liu, Qian Song
Erschienen in: Advanced Research on Computer Science and Information Engineering
Verlag: Springer Berlin Heidelberg
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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.