Optimization of processor architecture for image edge detection filter

Osman, Z.E.M. and Hussin, F.A. and Ali, N.B.Z. (2010) Optimization of processor architecture for image edge detection filter. In: UNSPECIFIED.

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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. © 2010 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 12; Conference of 12th UKSim International Conference on Modelling and Simulation, UKSim 2010 ; Conference Date: 24 March 2010 Through 26 March 2010; Conference Code:80938
Uncontrolled Keywords: Computation time; Data reuse; Edge detection filters; Embedded video processing; Hardware implementations; Image edge detection; Image pixels; Memory access; Optimized architectures; Processor architectures; Proposed architectures; Sobel edge detection, Computer simulation; Edge detection; Hardware; Nanotechnology; Optimization; Pixels, Computer architecture
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:49
Last Modified: 09 Nov 2023 15:49
URI: https://khub.utp.edu.my/scholars/id/eprint/1209

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