A Public Fabric Database for Defect Detection Methods and Results

Silvestre-Blanes, Javier; Albero-Albero, Teresa; Miralles, Ignacio; Pérez-Llorens, Rubén; Moreno, Jorge

doi:10.2478/aut-2019-0035

Artykuł - szczegóły

Tytuł artykułu

A Public Fabric Database for Defect Detection Methods and Results

Autorzy

Silvestre-Blanes Javier , Albero-Albero Teresa , Miralles Ignacio , Pérez-Llorens Rubén , Moreno Jorge

Wybrane pełne teksty z tego czasopisma

Identyfikatory

DOI

10.2478/aut-2019-0035

Warianty tytułu

Języki publikacji

Abstrakty

The use of image processing for the detection and classification of defects has been a reality for some time in science and industry. New methods are continually being presented to improve every aspect of this process. However, these new approaches are applied to a small, private collection of images, which makes a real comparative study of these methods very difficult. The objective of this paper was to compile a public annotated benchmark, that is, an extensive set of images with and without defects, and make these public, to enable the direct comparison of detection and classification methods. Moreover, different methods are reviewed and one of these is applied to the set of images; the results of which are also presented in this paper.

Słowa kluczowe

fabric inspection defect classification machine vision system

kontrola tkaniny klasyfikacja wad system wizyjny

Wydawca

Lodz University of Technology, Faculty of Material Technologies and Textile Design

Czasopismo

Autex Research Journal

Rocznik

2019

Tom

Vol. 19, no. 4

Strony

363--374

Opis fizyczny

Bibliogr. 75 poz.

Twórcy

autor

Silvestre-Blanes Javier

jsilves@disca.upv.es

ITI, DISCA, Universitat Politècnica de València, UPV, València, Spain

autor

Albero-Albero Teresa

ITI, DISCA, Universitat Politècnica de València, UPV, València, Spain

autor

Miralles Ignacio

AITEX, Plaza Emilio Sala, 1, 03801 Alcoy, Spain

autor

Pérez-Llorens Rubén

ITI, DISCA, Universitat Politècnica de València, UPV, València, Spain

autor

Moreno Jorge

AITEX, Plaza Emilio Sala, 1, 03801 Alcoy, Spain

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).

Typ dokumentu

Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-81f97b47-e814-4769-b796-472aaf7d9cdf