Automatic image analysis methods for use with local operators

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dc.contributor.authorTatem, James E.en
dc.contributor.committeechairNadler, Mortonen
dc.contributor.committeememberConners, Richard W.en
dc.contributor.committeememberEhrich, Roger W.en
dc.contributor.departmentElectrical Engineeringen
dc.date.accessioned2014-03-14T20:35:54Zen
dc.date.adate2009-05-09en
dc.date.available2014-03-14T20:35:54Zen
dc.date.issued1990-05-01en
dc.date.rdate2011-03-15en
dc.date.sdate2009-05-09en
dc.description.abstractJust as image processing and image data bases have moved out of the lab and into the office environment, so has the need for image enhancement. Image scanners must to be able to capture and store a wide variety of information including faded documents, carbon copies, signatures, postmarks, etc. OCR systems put further demands on scanned image quality in terms of low noise, and unbroken disconnected characters. Straight thresholding techniques do not always meet the performance requirements, but by applying simple image processing techniques some of these problems can be solved. However, more burden is placed on the users to control the image enhancement techniques. The users, most of whom have little technical background, want no part in adjusting parameters. This paper proposes a method of examining small windows of the image to derive parameter settings autonomously. Histograms allow rudimentary measures to be used in setting parameters for edge detection, non-linear filters, and point operators such as non-linear gray scale mapping. Some examples of automatic parameter setting are given in chapter three.en
dc.description.degreeMaster of Scienceen
dc.format.extentviii, 72 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.identifier.otheretd-05092009-040743en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-05092009-040743/en
dc.identifier.urihttp://hdl.handle.net/10919/32455en
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V855_1990.T384.pdfen
dc.relation.isformatofOCLC# 22379252en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1990.T384en
dc.subject.lcshComputer graphicsen
dc.subject.lcshImaging systems -- Researchen
dc.titleAutomatic image analysis methods for use with local operatorsen
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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