Parallel image segmentation using parallel digital signal processors
This thesis describes the development and implementation of sequential and parallel image segmentation using transputers and Texas Instrument's (TI's) TMS320C40 parallel Digital Signal Processors (DSPs).
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2008
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Online Access: | http://hdl.handle.net/10356/4846 |
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Institution: | Nanyang Technological University |
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sg-ntu-dr.10356-48462023-07-04T15:11:09Z Parallel image segmentation using parallel digital signal processors Cai, Jian Chong, Yong Kim School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing This thesis describes the development and implementation of sequential and parallel image segmentation using transputers and Texas Instrument's (TI's) TMS320C40 parallel Digital Signal Processors (DSPs). Master of Engineering 2008-09-17T09:59:49Z 2008-09-17T09:59:49Z 1999 1999 Thesis http://hdl.handle.net/10356/4846 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Cai, Jian Parallel image segmentation using parallel digital signal processors |
description |
This thesis describes the development and implementation of sequential and parallel image segmentation using transputers and Texas Instrument's (TI's) TMS320C40 parallel Digital Signal Processors (DSPs). |
author2 |
Chong, Yong Kim |
author_facet |
Chong, Yong Kim Cai, Jian |
format |
Theses and Dissertations |
author |
Cai, Jian |
author_sort |
Cai, Jian |
title |
Parallel image segmentation using parallel digital signal processors |
title_short |
Parallel image segmentation using parallel digital signal processors |
title_full |
Parallel image segmentation using parallel digital signal processors |
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Parallel image segmentation using parallel digital signal processors |
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Parallel image segmentation using parallel digital signal processors |
title_sort |
parallel image segmentation using parallel digital signal processors |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/4846 |
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1772825500419358720 |