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103286

Fully Automated Fabric Defect Detection Using Additive Wavelet Transform

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Last updated: 25 Dec 2024

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Abstract

This paper introduces a proposed fabric defect detection technique based on additive wavelet transform. In this paper, à trous wavelet is utilized to extract the approximate sub image at an appropriate level. The objective of the proposed technique is to enhance energy of defective region and attenuate energy of background in the selected level. An improved thresholding method based on statistical calculation is used.

DOI

10.21608/mjeer.2020.103286

Authors

First Name

Eman Hussein

Last Name

Saleh

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Affiliation

Communication Department, High Institute for Engineering in Belbeis

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First Name

Mohamed Mohamed

Last Name

Fouad

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Affiliation

Electronic and Communication Department, Faculty of Engineering, Zagazig University.

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First Name

Mohamed S.

Last Name

Sayed

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Affiliation

Electronic and communication Department, Egypt-Japan University of Science and Technology

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First Name

Wael

Last Name

Badawy

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Affiliation

The school of information technology and computer science Nile University Giza Egypt

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First Name

Fathi E.

Last Name

Abd El-Samie

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-

Affiliation

Electronic and Communication Department, Faculty of Engineering, Menoufia University

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Volume

29

Article Issue

2

Related Issue

15327

Issue Date

2020-07-01

Receive Date

2020-07-16

Publish Date

2020-07-01

Page Start

119

Page End

125

Print ISSN

1687-1189

Online ISSN

2682-3535

Link

https://mjeer.journals.ekb.eg/article_103286.html

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https://mjeer.journals.ekb.eg/service?article_code=103286

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Original Article

Type Code

1,088

Publication Type

Journal

Publication Title

Menoufia Journal of Electronic Engineering Research

Publication Link

https://mjeer.journals.ekb.eg/

MainTitle

Fully Automated Fabric Defect Detection Using Additive Wavelet Transform

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Article

Created At

22 Jan 2023