Optimization of Processor Architecture for Image Edge Detection Filter

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...

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Main Authors: M. Osman, Zahraa Elhassan, Hussin, Fawnizu Azmadi, Zain Ali, Noohul Basheer
Format: Conference or Workshop Item
Language:English
Published: 2010
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/2089/
http://scholars.utp.edu.my/id/eprint/2089/1/Cambridg_paper_-_final_version.pdf
_version_ 1848659201745747968
author M. Osman, Zahraa Elhassan
Hussin, Fawnizu Azmadi
Zain Ali, Noohul Basheer
author_facet M. Osman, Zahraa Elhassan
Hussin, Fawnizu Azmadi
Zain Ali, Noohul Basheer
author_sort M. Osman, Zahraa Elhassan
building UTP Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-13T07:26:40Z
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institution Universiti Teknologi Petronas
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language English
last_indexed 2025-11-13T07:26:40Z
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spelling oai:scholars.utp.edu.my:20892017-01-19T08:24:22Z http://scholars.utp.edu.my/id/eprint/2089/ Optimization of Processor Architecture for Image Edge Detection Filter M. Osman, Zahraa Elhassan Hussin, Fawnizu Azmadi Zain Ali, Noohul Basheer QA75 Electronic computers. Computer science 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. 2010-03-24 Conference or Workshop Item PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/2089/1/Cambridg_paper_-_final_version.pdf M. Osman, Zahraa Elhassan and Hussin, Fawnizu Azmadi and Zain Ali, Noohul Basheer (2010) Optimization of Processor Architecture for Image Edge Detection Filter. In: 12th International Conference on Modelling and Simulation (UMSim), 24-26 March 2010, Cambdridge, UK. http://dx.doi.org/10.1109/UKSIM.2010.123
spellingShingle QA75 Electronic computers. Computer science
M. Osman, Zahraa Elhassan
Hussin, Fawnizu Azmadi
Zain Ali, Noohul Basheer
Optimization of Processor Architecture for Image Edge Detection Filter
title Optimization of Processor Architecture for Image Edge Detection Filter
title_full Optimization of Processor Architecture for Image Edge Detection Filter
title_fullStr Optimization of Processor Architecture for Image Edge Detection Filter
title_full_unstemmed Optimization of Processor Architecture for Image Edge Detection Filter
title_short Optimization of Processor Architecture for Image Edge Detection Filter
title_sort optimization of processor architecture for image edge detection filter
topic QA75 Electronic computers. Computer science
url http://scholars.utp.edu.my/id/eprint/2089/
http://scholars.utp.edu.my/id/eprint/2089/
http://scholars.utp.edu.my/id/eprint/2089/1/Cambridg_paper_-_final_version.pdf