Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/286664
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DC FieldValueLanguage
dc.coverage.spatialComputer
dc.date.accessioned2020-03-31T02:41:14Z-
dc.date.available2020-03-31T02:41:14Z-
dc.identifier.urihttp://hdl.handle.net/10603/286664-
dc.description.abstractfile attached
dc.format.extent90 p.
dc.languageEnglish
dc.relationno of references 97
dc.rightsuniversity
dc.titleAn efficient noise insensitive and rotation invariant methods for texture classification
dc.title.alternative-
dc.creator.researcherCh, Sudha Sree
dc.subject.keywordBinary pattern
dc.subject.keywordClassification
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordEngineering and Technology
dc.subject.keywordTernary count
dc.subject.keywordTexture analysis
dc.description.notereferences p. 90-98
dc.contributor.guideRao, M V P Chandra Sekhara
dc.publisher.placeGuntur
dc.publisher.universityAcharya Nagarjuna University
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registeredn.d.
dc.date.completed2018
dc.date.awardedn.d.
dc.format.dimensions-
dc.format.accompanyingmaterialNone
dc.type.degreePh.D.
dc.source.inflibnetINFLIBNET
Appears in Departments:Department of Computer Science & Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File44.76 kBAdobe PDFView/Open
02_declaration.pdf13.32 kBAdobe PDFView/Open
03_certificate.pdf13.32 kBAdobe PDFView/Open
04_acknowledgements.pdf15.02 kBAdobe PDFView/Open
05_abstract.pdf17.25 kBAdobe PDFView/Open
06_contents.pdf19.61 kBAdobe PDFView/Open
07_list of figures.pdf21.81 kBAdobe PDFView/Open
08_list of tables.pdf15.82 kBAdobe PDFView/Open
09_list of publications.pdf17.66 kBAdobe PDFView/Open
10_chapter 1.pdf239.42 kBAdobe PDFView/Open
11_chapter 2.pdf211.45 kBAdobe PDFView/Open
12_chapter 3.pdf202.14 kBAdobe PDFView/Open
13_chapter 4.pdf1.04 MBAdobe PDFView/Open
14_chapter 5.pdf268.95 kBAdobe PDFView/Open
15_chapter 6.pdf16.45 kBAdobe PDFView/Open
16_references.pdf93.92 kBAdobe PDFView/Open


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