Defect detection in textured images

Texture defect detection is an important research area which can find direct applications in industry. The research work reported in this thesis includes a study of the texture defect detection problem. The study looked into the nature of defect and its detection requirements. Requirements on featur...

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Main Author:	Dong, Ziqiang
Other Authors:	Chan, Kap Luk
Format:	Theses and Dissertations
Published:	2010
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:	http://hdl.handle.net/10356/38972
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-38972
record_format	dspace
spelling	sg-ntu-dr.10356-389722023-07-04T15:30:56Z Defect detection in textured images Dong, Ziqiang Chan, Kap Luk School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Texture defect detection is an important research area which can find direct applications in industry. The research work reported in this thesis includes a study of the texture defect detection problem. The study looked into the nature of defect and its detection requirements. Requirements on features that are suitable for defect detection are discussed. Feature stability is believed to be more important in defect detection than in texture segmentation and classification. This motivates the concept of using a local interaction neighbourhood that enables stable feature extraction. Master of Engineering 2010-05-21T03:38:04Z 2010-05-21T03:38:04Z 1997 1997 Thesis http://hdl.handle.net/10356/38972 Nanyang Technological University 91 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Dong, Ziqiang Defect detection in textured images
description	Texture defect detection is an important research area which can find direct applications in industry. The research work reported in this thesis includes a study of the texture defect detection problem. The study looked into the nature of defect and its detection requirements. Requirements on features that are suitable for defect detection are discussed. Feature stability is believed to be more important in defect detection than in texture segmentation and classification. This motivates the concept of using a local interaction neighbourhood that enables stable feature extraction.
author2	Chan, Kap Luk
author_facet	Chan, Kap Luk Dong, Ziqiang
format	Theses and Dissertations
author	Dong, Ziqiang
author_sort	Dong, Ziqiang
title	Defect detection in textured images
title_short	Defect detection in textured images
title_full	Defect detection in textured images
title_fullStr	Defect detection in textured images
title_full_unstemmed	Defect detection in textured images
title_sort	defect detection in textured images
publishDate	2010
url	http://hdl.handle.net/10356/38972
_version_	1772825476812767232

Defect detection in textured images

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