An image processing method for in-line nectarine variety verification based on the comparison of skin feature histogram vectors

Simple item page
dc.contributor.authorFont Calafell, Davinia
dc.contributor.authorTresánchez Ribes, Marcel
dc.contributor.authorPallejà Cabrè, Tomàs
dc.contributor.authorTeixidó Cairol, Mercè
dc.contributor.authorMartínez Lacasa, Daniel
dc.contributor.authorMoreno Blanc, Javier
dc.contributor.authorPalacín Roca, Jordi
dc.date.accessioned2016-07-05T11:23:37Z
dc.date.embargoEndDate2025-01-01
dc.date.issued2014
dc.description.abstractThis paper presents an image processing method for in-line automatic and individual nectarine variety verification in a fruit-packing line based on the use of feature histogram vectors obtained by concatenating the histograms computed from different color layers of a circular central area of the skin of the nectarines processed. The verification procedure requires the definition of a small dataset with the feature histogram vectors corresponding to some reference nectarines (manually selected) whose skin clearly identifies the variety being processed. The in-line variety verification of each nectarine processed is then done by computing and comparing its current feature histogram vector with the reference dataset. This paper compares experimentally different alternatives for computing the feature histogram vectors and two methods for feature comparison and variety verification. The experimental validation consists of the automatic in-line processing of nectarine samples from different mixed varieties. The results show an 86% success rate in the case of an expert human operator and 100% when using feature histogram vectors computed in the Rg (red and gray) or YR (luminance and normalized red) intensity color layers and when using correlation to compare the feature vectors.ca_ES
dc.description.sponsorshipThis work was partially funded by the University of Lleida, Indra, the Government of Catalonia (Comisionat per a Universitats i Recerca, Departament d’Innovació, Universitats i Empresa) and the European Social Fund.ca_ES
dc.identifier.doihttps://doi.org/10.1016/j.compag.2014.01.013
dc.identifier.idgrec020711
dc.identifier.issn0168-1699
dc.identifier.urihttp://hdl.handle.net/10459.1/57364
dc.language.isoengca_ES
dc.publisherElsevierca_ES
dc.relation.isformatofReproducció del document publicat a https://doi.org/10.1016/j.compag.2014.01.013ca_ES
dc.relation.ispartofComputers and Electronics in Agriculture, 2014, vol. 102, p. 112-119ca_ES
dc.rights(c) Elsevier B.V., 2014ca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_ES
dc.subjectFruit variety verificationca_ES
dc.subjectFruit skin comparisonca_ES
dc.subjectFruit analysisca_ES
dc.subjectFeature histogram vectorca_ES
dc.titleAn image processing method for in-line nectarine variety verification based on the comparison of skin feature histogram vectorsca_ES
dc.typearticleca_ES
dc.type.versionpublishedVersionca_ES
Files
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Articles publicats (Enginyeria Informàtica i Disseny Digital)
Grup de Recerca en Robòtica i Processament de Senyal (INSPIRES)