Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/40771
Full metadata record
DC FieldValueLanguage
dc.coverage.spatialShape based techniques for effective Content based image retrievalen_US
dc.date.accessioned2015-05-09T08:34:13Z-
dc.date.available2015-05-09T08:34:13Z-
dc.date.issued2015-05-09-
dc.identifier.urihttp://hdl.handle.net/10603/40771-
dc.description.abstractShape is one of the most important visual features that characterizes an newlineobject and enable human beings to recognize it In Content based image newlineretrieval, shape representation and description techniques are used to retrieve newlineselected images effectively from large databases newlineAvailability of high speed processors high capacity storage devices and newlinehigh speed internet have resulted in large number of images being generated newlinetransmitted and stored from across the globe in digital form There is a newlinegrowing interest in searching for a particular image in large collections of newlineimage databases In order to search and retrieve a matching image these newlineimages need first be represented and described based on certain features newlineSearching for images using shape features is an active research area Many newlineshape representation and description techniques are discussed in the literature newlineShape representation and description techniques are broadly classified into newlineTwo Region based and Contour based Region based systems typically use newlinedescriptors based on the regional or internal content Boundary based systems newlineuse the contour of the objects and usually give better results for images that newlineare distinguishable by their contours newlineen_US
dc.format.extentxx, 109p.en_US
dc.languageEnglishen_US
dc.relationp101-107.en_US
dc.rightsuniversityen_US
dc.titleShape based techniques for effective Content based image retrievalen_US
dc.title.alternativeen_US
dc.creator.researcherSanthosh Pen_US
dc.subject.keywordContent based imageen_US
dc.subject.keywordContour based Regionen_US
dc.subject.keywordHigh speed processorsen_US
dc.description.notereference p101-107.en_US
dc.contributor.guideMathew Zacharia K Pen_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Information and Communication Engineeringen_US
dc.date.registeredn.d,en_US
dc.date.completed01/10/2014en_US
dc.date.awarded30/10/2014en_US
dc.format.dimensions23cm.en_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File23.68 kBAdobe PDFView/Open
02_certiifcate.pdf3.15 MBAdobe PDFView/Open
03_abstract.pdf12.46 kBAdobe PDFView/Open
04_acknowledgement.pdf1 MBAdobe PDFView/Open
05_content.pdf43.33 kBAdobe PDFView/Open
06_chapter1.pdf18.52 kBAdobe PDFView/Open
07_chapter2.pdf35.51 kBAdobe PDFView/Open
08_chapter3.pdf798 kBAdobe PDFView/Open
09_chapter4.pdf971.61 kBAdobe PDFView/Open
10_chapter5.pdf264.41 kBAdobe PDFView/Open
11_chapter6.pdf793.46 kBAdobe PDFView/Open
12_chapter7.pdf468.26 kBAdobe PDFView/Open
13_chapter8.pdf18.97 kBAdobe PDFView/Open
14_reference.pdf29.5 kBAdobe PDFView/Open
15_publication.pdf11.05 kBAdobe PDFView/Open


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: