DocumentCode :
2605896
Title :
Optimization of Processor Architecture for Image Edge Detection Filter
Author :
Osman, Zahraa Elhassan M ; Hussin, Fawnizu Azmadi ; Ali, Noohul Basheer Zain
Author_Institution :
Electr. & Electron. Eng., Univ. Teknol. PETRONAS, Tronoh, Malaysia
fYear :
2010
fDate :
24-26 March 2010
Firstpage :
648
Lastpage :
652
Abstract :
In this paper, a dedicated edge detection processor architecture based on field programmable gate arrays is presented. The architecture is an optimization of the Sobel edge detection filter, specifically focusing on the reduction of the computation time. The proposed architecture reduces the number of calculations required for the edge detection process by enhancing the data reuse, i.e. minimizing the frequency of memory access. Direct hardware implementation as proposed by previous works require most image pixels to be read from memory up to six times and transferred into the Sobel edge detection processor. In our work, we try to reduce the number of pixels read therefore affecting tremendous potential speed suitable for the embedded video processing applications.
Keywords :
digital signal processing chips; edge detection; field programmable gate arrays; filtering theory; video signal processing; Sobel edge detection filter; data reusing; edge detection processor architecture; embedded video processing application; field programmable gate arrays; image edge detection filter; processor architecture optimization; Brightness; Computer architecture; Field programmable gate arrays; Filters; Image edge detection; Image processing; Image segmentation; Motion detection; Pixel; Real time systems; FPGA; Sobel; edge detection; filter; optimized architecture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2010 12th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
978-1-4244-6614-6
Type :
conf
DOI :
10.1109/UKSIM.2010.123
Filename :
5481234
Link To Document :
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