WECIA Graph: Visualization of Classification Performance Dependency on Grayscale Conversion Setting

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dc.contributor.authorSkrabanek, Pavel
dc.contributor.authorYayilgan, Sule Yildirim
dc.coverage.issue2cs
dc.coverage.volume24cs
dc.date.accessioned2019-06-27T06:12:50Z
dc.date.available2019-06-27T06:12:50Z
dc.date.issued2018-12-21cs
dc.description.abstractGrayscale conversion is a popular operation performed within image pre-processing of many computer vision systems, including systems aimed at generic object categorization. The grayscale conversion is a lossy operation. As such, it can signicantly in uence performance of the systems. For generic object categorization tasks, a weighted means grayscale conversion proved to be appropriate. It allows full use of the grayscale conversion potential due to weighting coefficients introduced by this conversion method. To reach a desired performance of an object categorization system, the weighting coefficients must be optimally setup. We demonstrate that a search for an optimal setting of the system must be carried out in a cooperation with an expert. To simplify the expert involvement in the optimization process, we propose a WEighting Coefficients Impact Assessment (WECIA) graph. The WECIA graph displays dependence of classication performance on setting of the weighting coefficients for one particular setting of remaining adjustable parameters. We point out a fact that an expert analysis of the dependence using the WECIA graph allows identication of settings leading to undesirable performance of an assessed system.en
dc.formattextcs
dc.format.extent41–48cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMendel. 2018 vol. 24, č. 2, s. 41–48. ISSN 1803-3814cs
dc.identifier.doi10.13164/mendel.2018.2.041en
dc.identifier.issn2571-3701
dc.identifier.issn1803-3814
dc.identifier.urihttp://hdl.handle.net/11012/179247
dc.language.isoencs
dc.publisherInstitute of Automation and Computer Science, Brno University of Technologycs
dc.relation.ispartofMendelcs
dc.relation.urihttps://mendel-journal.org/index.php/mendel/article/view/8cs
dc.rights.accessopenAccessen
dc.subjectcomputer visionen
dc.subjectgeneric object categorizationen
dc.subjectgrayscale conversionen
dc.subjectweighted means grayscale conversionen
dc.subjectclassificationen
dc.subjectperformance evaluationen
dc.subjectdata visualizationen
dc.titleWECIA Graph: Visualization of Classification Performance Dependency on Grayscale Conversion Settingen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta strojního inženýrstvícs
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Vol. 24, No. 2