Fabric Defect Detection using Image Processing

Fabric Defect Detection using Image Processing

Md. Rakibul Alam Khan

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Halima Akhter

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Fabric Defect Detection using Image Processing

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Abstract

Fabric defect is one of the most important and serious matters of quality control in textile industry in Bangladesh. This task takes a lot of time and money. For this reason we have introduced a simple process to find defects on fabric based on edge detection. This process is mainly focused on image processing which can be integrated with fabric defect detection automation system. In this paper we have tried a new approach using the filter method with edge detection and found good results. Our algorithm can detect defected fabric area successfully. It can be also used in real-time defect detection considering light intensity, zoom, fabric width, camera resolution etc. As our algorithm mainly works on the principle of edge detection, it cannot detect defect on multicoloured or patterned fabric. It works well on single coloured fabric without any fold or edge.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Md. Rakibul Alam Khan. 2026. \u201cFabric Defect Detection using Image Processing\u201d. Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 22 (GJCST Volume 22 Issue G1).

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GJCST Volume 22 Issue G1

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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Classification

GJCST-G Classification I.4.0

Submission ReceivedSeptember 15, 2021
Peer Review Double Blind
Handling Editor
Accepted October 13, 2021
Published October 23, 2021

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v1.2

Issue date

May 21, 2022

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