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DC poleHodnotaJazyk
dc.contributor.authorMohammadi, Vahid
dc.contributor.authorSodjinou, Sovi Guillaume
dc.contributor.authorKatakpe, Kossi Kuma
dc.contributor.authorRossé, Matthieu
dc.contributor.authorGouton, Pierre
dc.contributor.editorSkala, Václav
dc.date.accessioned2022-09-01T08:11:01Z
dc.date.available2022-09-01T08:11:01Z
dc.date.issued2022
dc.identifier.citationWSCG 2022: full papers proceedings: 30. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 24-27.en
dc.identifier.isbn978-80-86943-33-6
dc.identifier.issn2464-4617
dc.identifier.urihttp://hdl.handle.net/11025/49575
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.rights© Václav Skala - UNION Agencyen
dc.subjectmultispektrální kameracs
dc.subjectpole spektrálních filtrůcs
dc.subjectobrazový snímačcs
dc.subjecthybridní design snímačecs
dc.subjectgenetický algoritmuscs
dc.titleDevelopment of a Multi-spectral Camera for Computer vision applicationsen
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe need to multispectral cameras is growing in different fields. The goal is to provide inexpensive, flexible, or high resolution acquisition set-ups for different applications. Production of cheap and easy-to-use multispectral cameras requires the design and development of specific multispectral camera sensors equipped with multispectral filter arrays. Filter arrays, band width, and spectral response of filters should be analyzed and determined before mounting the filters on the image sensor. In this study, a multispectral camera sensor was designed to be used for computer vision applications (e.g. crop/weed detection, fruit ripeness estimation etc.) covering visible range. The developed camera sensor is consisted of the image sensor, spectral filter array, a sensor board, and a driving board. A hybrid system is proposed that works using eight bands in visible range (i.e. 400-700 nm). A program was developed based on Genetic Algorithm to find the best combination of filters. The program selects the Gaussian filters using a genetic algorithm powered by wiener filter estimation method. For the selection of bands, minimum RMS of 0.0016 was obtained for the selected bands in visible. The developed camera provides eight high resolution spectral images.en
dc.subject.translatedmultispectral cameraen
dc.subject.translatedspectral filter arrayen
dc.subject.translatedimage sensoren
dc.subject.translatedhybrid sensor designen
dc.subject.translatedgenetic algorithmen
dc.identifier.doihttps://www.doi.org/10.24132/CSRN.3201.4
dc.type.statusPeer-revieweden
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