An improved Canny edge detector and its realization on FPGA

Author

He, Wenhao ; Yuan, Kui

Author_Institution

Inst. of Autom., Chinese Acad. of Sci., Beijing

fYear

2008

fDate

25-27 June 2008

Firstpage

6561

Lastpage

6564

Abstract

Canny edge detector treats edge detection as a signal processing problem to design an optimal edge detector and has been widely used for edge detection. However, the traditional Canny edge detector has two shortcomings. First, the threshold of the algorithm needs to be set by manual. Secondly, the algorithm is very time consuming and can not be implemented in real time. A new self-adapt threshold Canny algorithm is proposed in this paper to solve the first problem. A pipelined implementation on FPGA for this new algorithm is also designed to solve the second problem. Experiment results are also given to show the efficiency of the proposed method.

Keywords

edge detection; field programmable gate arrays; FPGA; edge detection; improved Canny edge detector; signal processing problem; Design automation; Detectors; Field programmable gate arrays; Helium; Image edge detection; Image processing; Intelligent control; Pixel; Robot vision systems; Signal processing algorithms; Canny algorithm; FPGA; self-adapt; threshold;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Conference_Location

Chongqing

Print_ISBN

978-1-4244-2113-8

Electronic_ISBN

978-1-4244-2114-5

Type

conf

DOI

10.1109/WCICA.2008.4594570

Filename

4594570