An Automated Fabric Fault Detection and Classification System Based on Computer Vision and Soft Computing

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24410%2F13%3A%230003701" target="_blank" >RIV/46747885:24410/13:#0003701 - isvavai.cz</a>

Result on the web

<a href="http://acc-ern.tul.cz/images/journal/sbornik/ACC-Journal_1-2013.pdf" target="_blank" >http://acc-ern.tul.cz/images/journal/sbornik/ACC-Journal_1-2013.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

An Automated Fabric Fault Detection and Classification System Based on Computer Vision and Soft Computing

Original language description

Fabric inspection is one of the essential quality control processes in weaving mills. The automation of this process using computer vision systems is expected to increase the efficiency of the process and increase the total profit revenues on the long run. This work introduces a computer vision system that has the capability to detect and classify a relatively large number of fabric defects. Image enhancement techniques were used in processing the fabric acquired images. Spatial and spectral features were extracted from the processed images and used as inputs to soft-computing classifiers. Two approaches were used in the classification with the aim of reducing the calculation time required during the image analysis. The successful classification rate was 97.3% using the direct approach that has a slightly longer processing time. The performance of the classifiers in the series approach ranges between 91 to 100% depending on the classification level and the used image features. Results

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JS - Reliability and quality management, industrial testing

OECD FORD branch

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Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2013

Confidentiality

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

Name of the periodical

ACC Journal

ISSN

1803-9782

e-ISSN

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Volume of the periodical

19

Issue of the periodical within the volume

A

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

8

Pages from-to

16-24

UT code for WoS article

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EID of the result in the Scopus database

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