DocumentCode :
2428585
Title :
Real-time skeletonization using FPGA
Author :
Kim, Ki-Hoon ; Xuan, Pham Dai ; Thien, Pham Cong ; Jeon, Jae-Wook
Author_Institution :
Sungkyunkwan Univ., Suwon
fYear :
2007
fDate :
17-20 Oct. 2007
Firstpage :
1182
Lastpage :
1186
Abstract :
Thinning algorithms(or skeletonization) that extract feature parameters from an image are widely used in image processing. One of the most important issues in thinning is to reduce the execution time. Thus, many thinning algorithms have been proposed. But few attempts have been made to implement the thinning algorithms in real-time. The implementation of real-time skeletonization that has a large number of calculations is very difficult. This paper proposes hardware architecture that can output the thinned image to synchronize with the input image. The proposed architecture is implemented using the FPGA(field programable gate array) based vision system.
Keywords :
feature extraction; field programmable gate arrays; image thinning; FPGA based vision system; feature extraction; image processing; real-time skeletonization; thinning algorithm; Clocks; Data mining; Feature extraction; Field programmable gate arrays; Fires; Hardware; Image processing; Image recognition; Real time systems; Shape; FPGA; Skeletonization; Thinning Algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems, 2007. ICCAS '07. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-950038-6-2
Electronic_ISBN :
978-89-950038-6-2
Type :
conf
DOI :
10.1109/ICCAS.2007.4406513
Filename :
4406513
Link To Document :
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