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Segmentation techniques in image analysis: A comparative study

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Segmentation techniques in image analysis: A comparative study

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Vitale, R.; Prats-Montalbán, JM.; López García, F.; Blasco Ivars, J.; Ferrer, A. (2016). Segmentation techniques in image analysis: A comparative study. Journal of Chemometrics. 30(12):749-758. https://doi.org/10.1002/cem.2854

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/144680

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Title: Segmentation techniques in image analysis: A comparative study
Author: Vitale, Raffaele Prats-Montalbán, José Manuel López García, Fernando BLASCO IVARS, JOSE Ferrer, Alberto
UPV Unit: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Universitat Politècnica de València. Departamento de Mecanización y Tecnología Agraria - Departament de Mecanització i Tecnologia Agrària
Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
Abstract:
[EN] Nowadays, the detection, localization, and quantification of different kinds of features in an RGB image (segmentation) is extremely helpful for, e.g., process monitoring or customer product acceptance. In this ...[+]
Subjects: Color information , Graphs , Multivariate image analysis (MIA) , Segmentation , Textural information
Copyrigths: Reserva de todos los derechos
Source:
Journal of Chemometrics. (issn: 0886-9383 )
DOI: 10.1002/cem.2854
Publisher:
John Wiley & Sons
Publisher version: http://dx.doi.org/10.1002/cem.2854
Project ID:
info:eu-repo/grantAgreement/MINECO//RTA2012-00062-C04-01/ES/Nuevas técnicas de inspección basadas en espectrometría para la estimación de propiedades y determinación automática de la calidad interna y sanidad de productos agroalimentarios aplicadas a líneas de inspección y manipulación (SPEC-DACSA)/
info:eu-repo/grantAgreement/MINECO//DPI2014-55276-C5-1-R/ES/BIOLOGIA SINTETICA PARA LA MEJORA EN BIOPRODUCCION: DISEÑO, OPTIMIZACION, MONITORIZACION Y CONTROL/
Thanks:
Spanish Ministry of Economy and Competitiveness, Grant/Award Number: DPI2014-55276-C5-1R; Spanish National Institute for Agricultural and Food Research and Technology (INIA), Grant/Award Number: RTA2012-00062-C04-01; ...[+]
Type: Artículo

References

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