Share Email Print
cover

Proceedings Paper

An improved high-speed canny edge detection algorithm and its implementation on FPGA
Author(s): Fangxin Peng; Xiaofeng Lu; Hengli Lu; Sumin Shen
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Edge is an important feature of image and it is very useful in machine vision application. In view of the parallelism, logic operation and pipelined of Field Programmable Logic Array (FPGA), this paper proposes an improved edge detection algorithm based on the Canny operator for FPGA. Median Filter in 3-way Parallel can complete image preprocessing in high-speed. Second Harmonic of the Variable Parameters (SHOVP) calculates the gradient easily and flexibly. 45 Degrees into the Direction of Gradient, and Non Maximum Suppression based on Quarter of the Gradient Direction will be completed easily just using logic operation. This algorithm transforms the complex data operation into multi-task operation, and simplifies arithmetic into logic operation. It improves the computing feasibility, effectiveness and real-time for FPGA. This paper gives the result of the algorithm based on FPGA.

Paper Details

Date Published: 13 January 2012
PDF: 7 pages
Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 83501V (13 January 2012); doi: 10.1117/12.920950
Show Author Affiliations
Fangxin Peng, Shanghai Univ. (China)
Xiaofeng Lu, Shanghai Univ. (China)
Hengli Lu, Shanghai Univ. (China)
Sumin Shen, Shanghai Univ. (China)


Published in SPIE Proceedings Vol. 8350:
Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies
Safaa S. Mahmoud; Zhu Zeng; Yuting Li, Editor(s)

© SPIE. Terms of Use
Back to Top