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dc.contributor.advisorBrankovic, Stanko R.
dc.creatorTripathi, Ashish 1987-
dc.date.accessioned2014-12-19T13:23:06Z
dc.date.available2014-12-19T13:23:06Z
dc.date.createdDecember 2012
dc.date.issued2012-12
dc.identifier.urihttp://hdl.handle.net/10657/833
dc.description.abstractImage processing can be used to extract cluster parameters from STM image. The objective observation from the obtained data can be used to understand certain processes in Material Science. One such application is to study under-potential deposition where the substrate surface is modified with a sub-monolayer of different noble metal. This thesis aims to develop a user friendly GUI (Graphical User Interface) that helps researchers to draw an inference by quantifying parameters like layer coverage, nucleation density, cluster area, and perimeter by area from an STM image. It uses an algorithm that filters noise using a custom made filter mask and then applies the OTSU segmentation technique to fit Gaussian curve on the image histogram for detecting the presence of a layer(s) of cluster in the STM image. It creates a binary image for each layer detected in the image. Cluster parameters are obtained by processing this binary image.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.subjectMicrofabrication
dc.subjectSTM
dc.subjectImage Processing
dc.subjectMatlab GUI
dc.subjectSoftware Development
dc.subjectMaterial Science
dc.subjectNanofabrication
dc.subjectSTM Image Analysis
dc.subjectAlgorithm Development
dc.subjectImage Segmentation
dc.subjectOTSU
dc.subjectGaussian
dc.subject.lcshElectrical engineering
dc.titleTHE NEW IMAGE PROCESSING ALGORITHM FOR QUALITATIVE AND QUANTITATIVE STM DATA ANALYSIS
dc.date.updated2014-12-19T13:23:07Z
dc.type.genreThesis
thesis.degree.nameMaster of Science in Electrical Engineering
thesis.degree.levelMasters
thesis.degree.disciplineElectrical Engineering
thesis.degree.grantorUniversity of Houston
thesis.degree.departmentElectrical and Computer Engineering
dc.contributor.committeeMemberRuchhoeft, Paul
dc.contributor.committeeMemberGrabow, Lars C.
dc.type.dcmiText
dc.format.digitalOriginborn digital
dc.description.departmentElectrical and Computer Engineering
thesis.degree.collegeCullen College of Engineering


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