Morphological image segmentation for detection and classification of PCB defects

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主要作者:	Indera Putera, Siti Hazurah
格式:	Thesis
出版:	2007
主题:	TK Electrical engineering Electronics Nuclear engineering
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id	my-utm-ep.4250
record_format	uketd_dc
spelling	my-utm-ep.42502017-09-23T06:22:38Z Morphological image segmentation for detection and classification of PCB defects 2007 Indera Putera, Siti Hazurah TK Electrical engineering. Electronics Nuclear engineering 2007 Thesis http://eprints.utm.my/id/eprint/4250/ http://libraryopac.utm.my/client/en_AU/main/search/results?qu=Morphological+image+segmentation+for+detection+and+classification+of+PCB+defects&te= masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Indera Putera, Siti Hazurah Morphological image segmentation for detection and classification of PCB defects
description
format	Thesis
qualification_level	Master's degree
author	Indera Putera, Siti Hazurah
author_facet	Indera Putera, Siti Hazurah
author_sort	Indera Putera, Siti Hazurah
title	Morphological image segmentation for detection and classification of PCB defects
title_short	Morphological image segmentation for detection and classification of PCB defects
title_full	Morphological image segmentation for detection and classification of PCB defects
title_fullStr	Morphological image segmentation for detection and classification of PCB defects
title_full_unstemmed	Morphological image segmentation for detection and classification of PCB defects
title_sort	morphological image segmentation for detection and classification of pcb defects
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2007
_version_	1747814506433609728

Morphological image segmentation for detection and classification of PCB defects

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