Fault Detection on Textiles by Adapted Biorthogonal Wavelets

Result code in IS VaVaI

RIV/46747885:24510/09:#0000216 - isvavai.cz

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Fault Detection on Textiles by Adapted Biorthogonal Wavelets

Original language description

In the discrete wavelet transform approach, a choice of wavelet has a direct impact on the decomposed image, which indicates that the selection of the wavelet is closely related to the detection performance. Since a choice of standard wavelets, e.g. Daubechies wavelets, Coiflets, biorthogonal wavelets etc., may not guarantee efficient discrimination of fabric defects, some researchers suggested methods based on a construction of wavelets adapted to the detection or classification of these defects. We propose a novel method to design adaptive wavelet filters. These filters are constructed to minimize l_2-norm of the undecimated discrete wavelet transform of the defect free textile with the aim to enhance the wavelet response in the defect region. Examples show efficiency in the fault detection.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JS - Reliability and quality management, industrial testing

OECD FORD branch

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Project

1M06047: Research Center for Quality and Reliability of Production

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2009

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Reliability, Risk and Safety ? Theory and Applications, vol. 1

ISBN

9780415555098

ISSN

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e-ISSN

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Number of pages

7

Pages from-to

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Publisher name

Taylor and Francis Group

Place of publication

London

Event location

Praha

Event date

Sep 7, 2009

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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