A parallel computing method for automatic license-plate detection on Windows-based computer cluster
Computationally intensive tasks in computer vision and image processing are ideally implemented in parallel on a variety of parallel architectures, such as vector supercomputers and massively parallel processing (MPP) systems. As a cost effective alternative to these special architectures, a cluster...
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sg-ntu-dr.10356-131282023-07-04T15:12:22Z A parallel computing method for automatic license-plate detection on Windows-based computer cluster Qian, Xiaodong Chutatape, Opas School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Computationally intensive tasks in computer vision and image processing are ideally implemented in parallel on a variety of parallel architectures, such as vector supercomputers and massively parallel processing (MPP) systems. As a cost effective alternative to these special architectures, a cluster of Personal Computers (PCs) are used in this thesis to implement the parallel applications. Four reasons are given as follows: (1) friendly user interface, (2) low cost, (3) the availability of reliable network operating system like Windows NT, and (4) high computing ability. The aim of this thesis is to build an effective parallel computing model on a cluster of PCs and investigate its practical utilization. Master of Engineering 2008-10-20T07:14:58Z 2008-10-20T07:14:58Z 1999 1999 Thesis http://hdl.handle.net/10356/13128 en 190 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Qian, Xiaodong A parallel computing method for automatic license-plate detection on Windows-based computer cluster |
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Computationally intensive tasks in computer vision and image processing are ideally implemented in parallel on a variety of parallel architectures, such as vector supercomputers and massively parallel processing (MPP) systems. As a cost effective alternative to these special architectures, a cluster of Personal Computers (PCs) are used in this thesis to implement the parallel applications. Four reasons are given as follows: (1) friendly user interface, (2) low cost, (3) the availability of reliable network operating system like Windows NT, and (4) high computing ability. The aim of this thesis is to build an effective parallel computing model on a cluster of PCs and investigate its practical utilization. |
author2 |
Chutatape, Opas |
author_facet |
Chutatape, Opas Qian, Xiaodong |
format |
Theses and Dissertations |
author |
Qian, Xiaodong |
author_sort |
Qian, Xiaodong |
title |
A parallel computing method for automatic license-plate detection on Windows-based computer cluster |
title_short |
A parallel computing method for automatic license-plate detection on Windows-based computer cluster |
title_full |
A parallel computing method for automatic license-plate detection on Windows-based computer cluster |
title_fullStr |
A parallel computing method for automatic license-plate detection on Windows-based computer cluster |
title_full_unstemmed |
A parallel computing method for automatic license-plate detection on Windows-based computer cluster |
title_sort |
parallel computing method for automatic license-plate detection on windows-based computer cluster |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/13128 |
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1772826372317642752 |