Modeling of image processing algorithms for hardware-software co-simulation

Implementation and verification of algorithms such as image processing algorithms via deploying into field programmable gate arrays can be time consuming and involves a lot of technical complexities. Modern digital systems are expanding in terms of size and design complexity which becomes even more...

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Main Author:	Isa, Ibrahim
Format:	Thesis
Language:	English
Published:	2015
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/53865/1/IbrahimIsaMFKE2015.pdf
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id	my-utm-ep.53865
record_format	uketd_dc
spelling	my-utm-ep.538652020-09-13T09:13:26Z Modeling of image processing algorithms for hardware-software co-simulation 2015-06 Isa, Ibrahim TK Electrical engineering. Electronics Nuclear engineering Implementation and verification of algorithms such as image processing algorithms via deploying into field programmable gate arrays can be time consuming and involves a lot of technical complexities. Modern digital systems are expanding in terms of size and design complexity which becomes even more complicated due to task division between hardware and software as well as design and verification teams. Therefore this project proposes to model image processing algorithm such as human skin detection algorithm for hardware-software co-simulation. The skin detection algorithm was first designed as pure software followed by software profiling process to identify the compute-intensive modules. This was followed by the design of hardware accelerators for the compute-intensive modules and hardware-software co-simulation of the whole system.The hardware which is designed using SystemVerilog and the software which is in c programming language communicate through direct programming interface(DPI-C). MATLAB is used as the golden reference model to verify the hardware-software co-simulation. The co-simulation and verification process is automated with the aid of the MATLAB engine. When the hardwares-oftware co-simulation was implemented a speed improvement of up to 2.5 times was obtained as compared to pure software implementation. 2015-06 Thesis http://eprints.utm.my/id/eprint/53865/ http://eprints.utm.my/id/eprint/53865/1/IbrahimIsaMFKE2015.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:86652 masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Isa, Ibrahim Modeling of image processing algorithms for hardware-software co-simulation
description	Implementation and verification of algorithms such as image processing algorithms via deploying into field programmable gate arrays can be time consuming and involves a lot of technical complexities. Modern digital systems are expanding in terms of size and design complexity which becomes even more complicated due to task division between hardware and software as well as design and verification teams. Therefore this project proposes to model image processing algorithm such as human skin detection algorithm for hardware-software co-simulation. The skin detection algorithm was first designed as pure software followed by software profiling process to identify the compute-intensive modules. This was followed by the design of hardware accelerators for the compute-intensive modules and hardware-software co-simulation of the whole system.The hardware which is designed using SystemVerilog and the software which is in c programming language communicate through direct programming interface(DPI-C). MATLAB is used as the golden reference model to verify the hardware-software co-simulation. The co-simulation and verification process is automated with the aid of the MATLAB engine. When the hardwares-oftware co-simulation was implemented a speed improvement of up to 2.5 times was obtained as compared to pure software implementation.
format	Thesis
qualification_level	Master's degree
author	Isa, Ibrahim
author_facet	Isa, Ibrahim
author_sort	Isa, Ibrahim
title	Modeling of image processing algorithms for hardware-software co-simulation
title_short	Modeling of image processing algorithms for hardware-software co-simulation
title_full	Modeling of image processing algorithms for hardware-software co-simulation
title_fullStr	Modeling of image processing algorithms for hardware-software co-simulation
title_full_unstemmed	Modeling of image processing algorithms for hardware-software co-simulation
title_sort	modeling of image processing algorithms for hardware-software co-simulation
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2015
url	http://eprints.utm.my/id/eprint/53865/1/IbrahimIsaMFKE2015.pdf
_version_	1747817645163413504

Modeling of image processing algorithms for hardware-software co-simulation

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