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dc.contributor.authorConni, Michele
dc.contributor.authorNussbaum, Peter
dc.contributor.authorGreen, Philip John
dc.date.accessioned2022-10-07T11:24:48Z
dc.date.available2022-10-07T11:24:48Z
dc.date.created2021-09-07T10:47:44Z
dc.date.issued2021
dc.identifier.citationJournal of Imaging Science and Technology. 2021, 65 (1), .en_US
dc.identifier.issn1062-3701
dc.identifier.urihttps://hdl.handle.net/11250/3024492
dc.description.abstractAbstract The efficiency of a texture classification procedure depends on the color space in which it is performed. Classification in a perceptually meaningful space requires chromatic coordinates obtained from a calibrated acquisition setup. The authors assess the impact of camera calibration, within a generic color picture acquisition workflow, on the performance of a number of texture classification techniques. An image calibration pipeline is established and applied to a texture database, and the accuracy of the classification algorithms is evaluated for each step. The results show that the most significant step of the workflow is color rendering although the effect is relatively small. Hence precise scene-referred characterization of the raw data from an acquisition camera is not essential for most texture classification tasks. In addition, working with output-referred RGB data is likely to be adequate for the majority of classification tasks.en_US
dc.language.isoengen_US
dc.publisherThe Society for Imaging Science and Technologyen_US
dc.titleThe effect of camera calibration on multichannel texture classificationen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderThis version of the article will not be available due to copyright restrictions by The Society for Imaging Science and Technologyen_US
dc.source.pagenumber13en_US
dc.source.volume65en_US
dc.source.journalJournal of Imaging Science and Technologyen_US
dc.source.issue1en_US
dc.identifier.doi10.2352/J.IMAGINGSCI.TECHNOL.2021.65.1.010503
dc.identifier.cristin1931898
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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