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.
Cambridg_paper_-_final_version.pdf - Accepted Version
Restricted to Registered users only
Download (531kB) | Request a copy
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.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Departments / MOR / COE: | Centre of Excellence > Center for Intelligent Signal and Imaging Research Departments > Electrical & Electronic Engineering Research Institutes > Institute for Health Analytics |
Depositing User: | Dr Fawnizu Azmadi Hussin |
Date Deposited: | 10 May 2010 10:54 |
Last Modified: | 19 Jan 2017 08:24 |
URI: | http://scholars.utp.edu.my/id/eprint/2089 |