Calibrated color measurements of agricultural foods using image analysis

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dc.contributor.authorMendoza, Fernando
dc.contributor.authorDejmek, Petr
dc.contributor.authorAguilera, Jose M.
dc.date.accessioned2024-01-10T13:46:32Z
dc.date.available2024-01-10T13:46:32Z
dc.date.issued2006
dc.description.abstractA computer vision system (CVS) was implemented to quantify standard color of fruit and vegetables in sRGB, HSV and L*a*b* color spaces, and image capture conditions affecting the results were evaluated. These three color spaces are compared in terms of their suitability for color quantification in curved surfaces. The results show that sRGB standard (linear signals) was efficient to define the mapping between R'G'B' (no-linear signals) from the CCD camera and a device-independent system such as CIE XYZ. The CVS showed to be robust to changes in sample orientation, resolution, and zoom. However, the measured average color was shown to be significantly affected by the properties of the background and by the surface curvature and gloss. Thus all average color results should be interpreted with caution. L*a*b* system is suggested as the best color space for quantification in foods with curved surfaces. (C) 2006 Elsevier B.V. All rights reserved.
dc.fechaingreso.objetodigital08-04-2024
dc.format.extent11 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1016/j.postharvbio.2006.04.004
dc.identifier.eissn1873-2356
dc.identifier.issn0925-5214
dc.identifier.urihttps://doi.org/10.1016/j.postharvbio.2006.04.004
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/79171
dc.identifier.wosidWOS:000240385900008
dc.information.autorucIngeniería;Aguilera J;S/I;99054
dc.issue.numero3
dc.language.isoen
dc.nota.accesoContenido parcial
dc.pagina.final295
dc.pagina.inicio285
dc.publisherELSEVIER
dc.revistaPOSTHARVEST BIOLOGY AND TECHNOLOGY
dc.rightsacceso restringido
dc.subjectsRGB standard
dc.subjectCIE color
dc.subjectcomputer vision sensitivity
dc.subjectcurved surfaces
dc.subjectCOMPUTER VISION
dc.subjectQUALITY
dc.subject.ods02 Zero Hunger
dc.subject.odspa02 Hambre cero
dc.titleCalibrated color measurements of agricultural foods using image analysis
dc.typeartículo
dc.volumen41
sipa.codpersvinculados99054
sipa.indexWOS
sipa.indexScopus
sipa.trazabilidadCarga SIPA;09-01-2024
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