Texture defect identification rectification pattern design coloring and animation using analysis and synthesis

dc.contributor.guideDuraiswamy, Ken_US
dc.coverage.spatialComputer Scienceen_US
dc.creator.researcherKarth1keyani, Ven_US
dc.date.accessioned2014-07-08T10:59:00Z
dc.date.available2014-07-08T10:59:00Z
dc.date.awarded21/06/2007en_US
dc.date.completed01/06/2007en_US
dc.date.issued2014-07-08
dc.date.registeredNAen_US
dc.description.abstractnewline This Thesis is mainly concerned with Identification of Defect using Texture newlineAnalysis Rectification of Defect using Texture Synthesis generating a new Pattern newlineDesign Coloring the Gray scale image by extracting the color from some other image and newlineTexture Animation using Synthesis newlineThe benefits of time and cost of defect identification and rectification is associated newlinewith this Many different techniques and methods are used to identify the defects But newlineTexture Analysis and Synthesis are the best techniques This is more useful to Textile newlineIndustry newlineEver since from the year 1965 to till date many researchers have invested their newlineefforts in the area of Texture analysis In this thesis analysis is made to identify the newlinedefects Nine properties are used for analysis They are coarseness contrast complexity newlinestrength busyness energy entropy correlation and homogeneity Till date from the newlineliterature survey it is found that no attempt has been made to identify the defect by texture newlineanalysis The aim of this thesis is to identify and rectify the defect in few seconds newlineSynthesis is made to rectify the defect The multiple pixel based texture synthesis newlinealgorithm has been used From this algorithm the defects are rectified Any type of defect newlinecan be rectified The output size may be of any size Synthesis can be done by giving the newlinevalues of output size block size and the overlap size From this a different synthesized newlineresult can be generated newlineThis is an innovative work From the analysis and the synthesis a new pattern has newlinebeen generated The output of an analysis is given to an input to the synthesis In analysis newlinefind the minimum maximum and the average values of each property This is a new input newlineto the synthesis The synthesis algorithm will produce more results These results are a newlinenew pattern design newlineConversion of gray scale image to a coland image is presented Color is not newlineextracted from the color palette It will be collected from one of the input image Two newlineinput image are given One is gray scale image and another one is a color imageen_US
dc.format.accompanyingmaterialDVDen_US
dc.format.dimensions30cmen_US
dc.format.extentxix, 153p.en_US
dc.identifier.urihttp://hdl.handle.net/10603/20616
dc.languageEnglishen_US
dc.publisher.institutionDepartment of Computer Scienceen_US
dc.publisher.placeSalemen_US
dc.publisher.universityPeriyar Universityen_US
dc.relationReferences 17pen_US
dc.rightsuniversityen_US
dc.source.universityUniversityen_US
dc.subject.keywordSYNTHESISen_US
dc.subject.keywordTEXTURE DEFECT IDENTIFICATIONen_US
dc.titleTexture defect identification rectification pattern design coloring and animation using analysis and synthesisen_US
dc.type.degreePh.D.en_US

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