Automated underground pipe inspection using a unified image processing and artificial intelligence methodology

Simple item page
dc.contributor.authorSinha, Sunil K.en
dc.date.accessioned2006-07-28T20:01:39Z
dc.date.available2006-07-28T20:01:39Z
dc.date.issued2000en
dc.date.submitted2000en
dc.formatapplication/pdfen
dc.format.extent7091615 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10012/578
dc.language.isoenen
dc.pendingfalseen
dc.publisherUniversity of Waterlooen
dc.rightsCopyright: 2000, Sinha, Sunil K.. All rights reserved.en
dc.subjectHarvested from Collections Canadaen
dc.titleAutomated underground pipe inspection using a unified image processing and artificial intelligence methodologyen
dc.typeDoctoral Thesisen
uws-etd.degreePh.D.en
uws.peerReviewStatusUnrevieweden
uws.scholarLevelGraduateen
uws.typeOfResourceTexten

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
NQ53517.pdf
Size:
6.76 MB
Format:
Adobe Portable Document Format
Download

Collections

Digitized University of Waterloo Theses