Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/49353
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dc.coverage.spatialColor textured image segmentation wavelet based histogram analysis by thresholding and clustering with performance measuresen_US
dc.date.accessioned2015-09-10T09:49:45Z-
dc.date.available2015-09-10T09:49:45Z-
dc.date.issued2015-09-10-
dc.identifier.urihttp://hdl.handle.net/10603/49353-
dc.description.abstractIn the field of Computer vision texture analysis has historically been an important topic of study Texture is one of the major primary visual cues to image understanding The human visual system relies on texture among other types of cues, to effectively interpret the information contained in an image Therefore it is imperative that a fully functional artificial vision newlinesystem must perform texture analysis This science is better developed in the case of gray scale image analysis as opposed to color texture analysis It is only recently that attempts are being made to combine both aspects in a single method by extending gray level texture analysis methods to color images This combination can be made more formal by defining color texture as the set of local statistical properties of the colors of image regions Often in image analysis and interpretation tasks including multimedia applications and visual inspection color textured images must be segmented for recognition purposes newlineen_US
dc.format.extentxxiii, 179p.en_US
dc.languageEnglishen_US
dc.relationen_US
dc.rightsuniversityen_US
dc.titleColor textured image segmentation wavelet based histogram analysis by thresholding and clustering with performance measuresen_US
dc.title.alternativeen_US
dc.creator.researcherVasuki Sen_US
dc.subject.keywordColor textured image segmentationen_US
dc.subject.keywordInformation and communication engineeringen_US
dc.subject.keywordPerformance measuresen_US
dc.subject.keywordWavelet based histogram analysisen_US
dc.subject.keywordWavelet transformen_US
dc.description.noteen_US
dc.contributor.guideGanesan Len_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.completed01/11/2008en_US
dc.date.awarded30/11/2008en_US
dc.format.dimensions23cmen_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificate.pdf6.06 kBAdobe PDFView/Open
03_abstract.pdf13.48 kBAdobe PDFView/Open
04_acknowledgement.pdf6.85 kBAdobe PDFView/Open
05_contents.pdf55.5 kBAdobe PDFView/Open
06_chapter1.pdf47.6 kBAdobe PDFView/Open
07_chapter2.pdf82.7 kBAdobe PDFView/Open
08_chapter3.pdf2.53 MBAdobe PDFView/Open
10_chapter5.pdf7.73 MBAdobe PDFView/Open
11_chapter6.pdf178.67 kBAdobe PDFView/Open
12_chapter7.pdf22.47 kBAdobe PDFView/Open
13_publications.pdf22.36 kBAdobe PDFView/Open
14_vitae.pdf6.91 kBAdobe PDFView/Open


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