Computer vision and its application in detecting fabric defects

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24410%2F17%3A00004280" target="_blank" >RIV/46747885:24410/17:00004280 - isvavai.cz</a>

Result on the web

<a href="http://www.sciencedirect.com/science/article/pii/B978008101217800004X" target="_blank" >http://www.sciencedirect.com/science/article/pii/B978008101217800004X</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/B978-0-08-101217-8.00004-X" target="_blank" >10.1016/B978-0-08-101217-8.00004-X</a>

Result language

angličtina

Original language name

Computer vision and its application in detecting fabric defects

Original language description

There is a growing need to replace the visual fabric inspection with automated systems that detect and classify fabric defects. The digital processing of the fabric images utilizes different methods that offer a large set of image features, and the correlation between those features lead to problems during the fabric fault classification and reduces the performance of the classifiers. This chapter will introduce the different types and classifications for fabric defects, then their image analysis techniques. In the image analysis, a combination of statistical (spatial) and Fourier transform (spectral) features were presented for extraction from images of frequent fabric faults. The principal component analysis was implemented to reduce the dimensionality of the input feature dataset and its theoretical background was presented in this chapter. To classify samples, the artificial neural networks were introduced as a decision assisting soft-computing tool that helps in classifying the fabric fault categories. A practical application of these principles was introduced at the last section of the chapter with an emphasis on the classification process where different classifiers as well as different fabric descriptors (features) datasets were implemented. Finally, an overview for the future opportunities and challenges was given in closing this chapter.

Czech name

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Czech description

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Type

C - Chapter in a specialist book

CEP classification

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OECD FORD branch

20503 - Textiles; including synthetic dyes, colours, fibres (nanoscale materials to be 2.10; biomaterials to be 2.9)

Project

<a href="/en/project/LO1201" target="_blank" >LO1201: DEVELOPMENT OF THE INSTITUTE FOR NANOMATERIALS, ADVANCED TECHNOLOGIES AND INNOVATION</a><br>

Continuities

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

Publication year

2017

Confidentiality

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

Book/collection name

Applications of Computer Vision in Fashion and Textiles

ISBN

978-0-08-101217-8

Number of pages of the result

41

Pages from-to

61-101

Number of pages of the book

302

Publisher name

Woodhead Publishing

Place of publication

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UT code for WoS chapter

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