Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/6210
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSanghadiya, Foram-
dc.date.accessioned2015-09-26T04:02:17Z-
dc.date.available2015-09-26T04:02:17Z-
dc.date.issued2015-06-01-
dc.identifier.urihttp://hdl.handle.net/123456789/6210-
dc.description.abstractIn tile industry, quality of a tile should be maintained. But manual inspection is time consuming and less efficient. This report will help to automate inspection of tiles. For detecting edges of an object from an image various edge detection techniques like sobel, prewitt, canny, laplacian, Marr-hildreth can be used. Hough transformation and Contour techiniques are used for detecting exact tile from an image. For detecting defects some operations or set of operations like morphological operations, segmentation can be used. Canny edge detection algorithm is used in the proposed system as well as for better detection of objects, some preprocessing steps are required which are also mentioned. Techniques for detecting surface level defects are also proposed. Thus proposed system will help the inspection of tiles to be qualitative and less time consuming.en_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseries13MCEC17;-
dc.subjectComputer 2013en_US
dc.subjectProject Report 2013en_US
dc.subjectComputer Project Reporten_US
dc.subjectProject Reporten_US
dc.subject13MCEen_US
dc.subject13MCECen_US
dc.subject13MCEC17en_US
dc.titleAutomatic Tile Inspectionen_US
dc.typeDissertationen_US
Appears in Collections:Dissertation, CE

Files in This Item:
File Description SizeFormat 
13MCEC17.pdf13MCEC173.27 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.