Title :
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
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;
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
DOI :
10.1109/WCICA.2008.4594570
