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Detection of visual defects in citrus fruits: multivariate image analysis vs graph image segmentation

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Detection of visual defects in citrus fruits: multivariate image analysis vs graph image segmentation

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López García, F.; Andreu García, G.; Valiente González, JM.; Atienza Vanacloig, VL. (2013). Detection of visual defects in citrus fruits: multivariate image analysis vs graph image segmentation. En Computer Analysis of Images and Patterns. Springer Verlag (Germany). 8047:237-244. doi:10.1007/978-3-642-40261-6

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/38610

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Title: Detection of visual defects in citrus fruits: multivariate image analysis vs graph image segmentation
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
Abstract:
This paper presents an application of visual quality control in orange post-harvesting comparing two different approaches. These approaches correspond to two very different methodologies released in the area of Computer ...[+]
Subjects: Fruit Inspection , Automatic Quality Control , Multivariate Image Analysis , Principal Component Analysis , Unsupervised Methods
Copyrigths: Reserva de todos los derechos
ISBN: 978-3-642-40260-9
Source:
Computer Analysis of Images and Patterns. (issn: 0302-9743 )
DOI: 10.1007/978-3-642-40261-6
Publisher:
Springer Verlag (Germany)
Publisher version: http://link.springer.com/chapter/10.1007/978-3-642-40261-6_28
Conference name: 15th International Conference, CAIP 2013
Conference place: York, UK
Conference date: August 27-29, 2013
Series: Lecture Notes in Computer Science;
Description: ¿The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-40261-6_28
Type: Capítulo de libro

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