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125351

Applications of Image Analysis and Artificial Neural Network Techniques for Fabric Pilling Evaluation.

Article

Last updated: 04 Jan 2025

OverviewSimilar Items

Subjects

-

Tags

Textile Engineering

Abstract

The main aim of this contribution is description of image analysis approach combined with artificial neural networks to describe the fabric pilling features. For obtaining the fabric pills features the especially prepared digital images are used. These images are processed by the image analysis tools to achieve the aim of extraction of pills and computation of their basic features. The fabric Pills feature vector is then used in trained Artificial Neural Network (ANN) for grading the level of pill formation according to the ASTM. 

DOI

10.21608/bfemu.2020.125351

Keywords

Fabric pilling, Image analysis, artificial neural network, ASTM Standard

Authors

First Name

Mounir

Last Name

Hassan

MiddleName

-

Affiliation

Textile Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

Email

-

City

Mansoura

Orcid

-

Volume

34

Article Issue

1

Related Issue

18587

Issue Date

2009-03-01

Receive Date

2009-01-11

Publish Date

2020-11-25

Page Start

1

Page End

9

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 34_Issue 1_Pages 1-9.pdf

PDF . 323.3kB

Link

https://bfemu.journals.ekb.eg/article_125351.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=125351

Order

2

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

Applications of Image Analysis and Artificial Neural Network Techniques for Fabric Pilling Evaluation.

Details

Type

Article

Created At

22 Jan 2023