A systematic algorithm development for image processing feature extraction in automatic visual inspection : a thesis presented in partial fulfilment of the requirements for the degree of Master of Technology in the Department of Production Technology, Massey University

dc.contributor.authorXing, G. X. (Guo Xin)
dc.date.accessioned2018-10-31T00:09:44Z
dc.date.available2018-10-31T00:09:44Z
dc.date.issued1990
dc.description.abstractImage processing techniques applied to modern quality control are described together with the development of feature extraction algorithms for automatic visual inspection. A real-time image processing hardware system already available in the Department of Production Technology is described and has been tested systematically for establishing an optimal threshold function. This systematic testing has been concerned with edge strength and system noise information. With the a priori information of system signal and noise, non-linear threshold functions have been established for real time edge detection. The performance of adaptive thresholding is described and the usefulness of this nonlinear approach is demonstrated from results using machined test samples. Examination and comparisons of thresholding techniques applied to several edge detection operators are presented. It is concluded that, the Roberts' operator with a non-linear thresholding function has the advantages of being simple, fast, accurate and cost effective in automatic visual inspection.en_US
dc.identifier.urihttp://hdl.handle.net/10179/13945
dc.language.isoenen_US
dc.publisherMassey Universityen_US
dc.rightsThe Authoren_US
dc.subjectComputer visionen_US
dc.subjectImage processingen_US
dc.titleA systematic algorithm development for image processing feature extraction in automatic visual inspection : a thesis presented in partial fulfilment of the requirements for the degree of Master of Technology in the Department of Production Technology, Massey Universityen_US
dc.typeThesisen_US
massey.contributor.authorXing, G. X. (Guo Xin)
thesis.degree.disciplineProduction Technologyen_US
thesis.degree.grantorMassey Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Technology (M. Tech.)en_US
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