An adaptive squared gradient algorithm for autofocusing of thermal cameras

dc.contributor.authorSelek M.
dc.date.accessioned2020-03-26T18:48:09Z
dc.date.available2020-03-26T18:48:09Z
dc.date.issued2013
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe aim of this study is to select from the autofocusing algorithms developed for visible image devices such an algorithm that is the most successful for thermal image devices. For this purpose, 500 different thermal images were processed by the widely used autofocusing algorithms such as Variance, Autocorrelation, Brenner and Squared Gradient, and the average rate of successful autofocusing for each algorithm was determined. From these results, it was derived that the best performance for thermal images is provided by the Squared Gradient algorithm. The analysis of the results of experiments showed that the success of the Squared Gradient algorithm is significantly affected by the resolution of the thermal images. Therefore, we developed this algorithm so that it can be adaptive to the resolution of the thermal image camera to be autofocused. Due to this improvement, the average rate of successful autofocusing for thermal images has been increased from 81 to 96 percent. © 2013 ICIC International.en_US
dc.identifier.endpage849en_US
dc.identifier.issn1349-4198en_US
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage841en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/30090
dc.identifier.volume9en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Innovative Computing, Information and Controlen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectAutofocusingen_US
dc.subjectFocal planeen_US
dc.subjectImage resolutionen_US
dc.subjectThermal imageen_US
dc.titleAn adaptive squared gradient algorithm for autofocusing of thermal camerasen_US
dc.typeArticleen_US

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