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Development of a hyperspectral computer vision system based on two liquid crystal tuneable filters for fruit inspection. Application to detect citrus fruits decay

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Development of a hyperspectral computer vision system based on two liquid crystal tuneable filters for fruit inspection. Application to detect citrus fruits decay

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dc.contributor.author Gomez-Sanchis, J. es_ES
dc.contributor.author Lorente, D. es_ES
dc.contributor.author Soria Olivas, Emilio es_ES
dc.contributor.author Aleixos Borrás, María Nuria es_ES
dc.contributor.author Cubero, S. es_ES
dc.contributor.author Blasco, J. es_ES
dc.date.accessioned 2016-07-22T09:58:22Z
dc.date.available 2016-07-22T09:58:22Z
dc.date.issued 2013-04
dc.identifier.issn 1935-5130
dc.identifier.uri http://hdl.handle.net/10251/68020
dc.description.abstract Hyperspectral systems are characterised by offering the possibility of acquiring a large number of images at different consecutive wavebands. To ensure reliable and repeatable results using this kind of optical sensors, the intensity shown by the objects in the different spectral images must be independent from the differences in sensitivity of the system for the different wavelengths. The spectral efficiency of the acquisition devices and the spectral emission of the lighting system vary across the spectrum and the images, and therefore the results can reproduce these variations if the system is not properly calibrated and corrected. This is particularly complex, when several LCTF devices are used to obtain large spectral ranges. This work presents the development of a hyperspectral system based on two liquid crystal tuneable filters for the acquisition of images of spherical fruits. It also proposes a methodology for acquiring and segmenting images of citrus fruits aimed at detecting decay in citrus fruits that has been capable of correctly classifying 98 % of pixels as rotten or non-rotten and 95 % of fruit. es_ES
dc.description.sponsorship This work has been partially funded by the Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria de Espana (INIA) through research project RTA2012-00062-C04-01 and RTA2012-00062-C04-03 with the support of European FEDER funds, the Universitat de Valencia through project UV-INV-AE11-41271, and the UPV-IVIA through collaboration agreement UPV-2013000005. en_EN
dc.language Inglés es_ES
dc.publisher Springer Verlag es_ES
dc.relation Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria de Espana (INIA) RTA2012-00062-C04-01 RTA2012-00062-C04-03 es_ES
dc.relation European FEDER funds es_ES
dc.relation Universitat de Valencia UV-INV-AE11-41271 es_ES
dc.relation UPV-IVIA UPV-2013000005 es_ES
dc.relation.ispartof Food and Bioprocess Technology es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Hyperspectral es_ES
dc.subject Citrus fruits es_ES
dc.subject Decay detection es_ES
dc.subject Fruit inspection es_ES
dc.subject Artificial neural networks es_ES
dc.subject.classification EXPRESION GRAFICA EN LA INGENIERIA es_ES
dc.title Development of a hyperspectral computer vision system based on two liquid crystal tuneable filters for fruit inspection. Application to detect citrus fruits decay es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11947-013-1158-9
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano - Institut Interuniversitari d'Investigació en Bioenginyeria i Tecnologia Orientada a l'Ésser Humà es_ES
dc.description.bibliographicCitation Gomez-Sanchis, J.; Lorente, D.; Soria Olivas, E.; Aleixos Borrás, MN.; Cubero, S.; Blasco, J. (2013). Development of a hyperspectral computer vision system based on two liquid crystal tuneable filters for fruit inspection. Application to detect citrus fruits decay. Food and Bioprocess Technology. 7(4):1047-1056. doi:10.1007/s11947-013-1158-9 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1007/s11947-013-1158-9 es_ES
dc.description.upvformatpinicio 1047 es_ES
dc.description.upvformatpfin 1056 es_ES
dc.type.version info:eu repo/semantics/publishedVersion es_ES
dc.description.volume 7 es_ES
dc.description.issue 4 es_ES
dc.relation.senia 246263 es_ES
dc.identifier.eissn 1935-5149


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