Gloss measurements of raw agricultural products using image analysis

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dc.contributor.authorMendoza, Fernando
dc.contributor.authorDejmek, Petr
dc.contributor.authorAguilera, Jose M.
dc.date.accessioned2024-01-10T13:13:22Z
dc.date.available2024-01-10T13:13:22Z
dc.date.issued2010
dc.description.abstractGloss is considered one of the most important visual attributes of many foods, which is difficult to measure objectively. In this paper, a gloss imaging system (GIS) was implemented to evaluate the suitability of four indexes for measuring gloss from intensity images in flat and curved surfaces and to analyze gloss of some fruits and vegetables. Three indexes were computed from goniometric curves: maximum intensity (MI), width of the curve at 50% (WC), and area under the curve (AC). The fourth index was computed from the same intensity images as the average of the reflected luminance flux (LF) at the surface of the image. The results showed linear relationships (R-2 = 0.97) when values of MI, AC, LF for flat and curved gloss targets in the range of 4-90 units of gloss (GU) were compared with their standard gloss levels. However, the measured gloss was significantly affected by curvature and unevenness of the surface of fruits and vegetables. In spite of this, we concluded that a colour digital camera of moderate cost combined with simple image analysis procedure can yield parameters which correlate highly with the gloss appearance of fruits and vegetables and allow measurements over a very wide range of gloss with high sensitivity. (C) 2009 Elsevier Ltd. All rights reserved.
dc.description.funderMECESUP/PUC (Chile)
dc.description.funderALFA Programme (EC) - EU Alfa
dc.fechaingreso.objetodigital25-03-2024
dc.format.extent8 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1016/j.foodres.2009.08.003
dc.identifier.eissn1873-7145
dc.identifier.issn0963-9969
dc.identifier.urihttps://doi.org/10.1016/j.foodres.2009.08.003
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/78297
dc.identifier.wosidWOS:000274095800003
dc.information.autorucIngeniería;Aguilera JM;S/I;99054
dc.issue.numero1
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final25
dc.pagina.inicio18
dc.publisherELSEVIER
dc.revistaFOOD RESEARCH INTERNATIONAL
dc.rightsacceso restringido
dc.subjectGloss measurements
dc.subjectGhoniophotometric curves
dc.subjectImage analysis
dc.subjectStandard ASTM D523
dc.subjectCurved surfaces
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleGloss measurements of raw agricultural products using image analysis
dc.typeartículo
dc.volumen43
sipa.codpersvinculados99054
sipa.indexWOS
sipa.indexScopus
sipa.trazabilidadCarga SIPA;09-01-2024
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