Design of Optimal Gabor Filter for Fabric Defect Detection

L. Tong; W. K. Wong

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Design of Optimal Gabor Filter for Fabric Defect Detection

用於織物瑕疵檢測的最優Gabor濾波器設計

L. Tong 佟樂 ✉ Institute of Textile and Clothing, The Hong Kong Polytechnic University
W. K. Wong 黃偉強 Institute of Textile and Clothing, The Hong Kong Polytechnic University

Abstract

This paper presents a novel design method for optimal Gabor filters for solving real time fabric inspection problem in fashion industry. In this paper, based on analysis of the features of fabric defects, the defect detection model utilizes DE to optimize the parameters of Gabor filters, which helps achieve the best feature extraction of defects. Using optimal Gabor filters instead of a Gabor filter bank, this method is able to obtain high efficiency, and reduce the total computational cost. The performance of the proposed method is evaluated through extensive experiments on real fabric samples.

Keywords

摘要

為解決服裝行業實時布匹質量檢測問題，本文提出了一種最優Gabor濾波器的設計方法。基於布料瑕疵的角度及紋理等獨特性質的分析，該方法利用DE算法優化Gabor濾波器??，從而獲得最佳的瑕疵特征提取。該方法利用?個最優Gabor濾波器代替一個覆蓋整個頻域的濾波器組，在保證較高的瑕疵檢測準確率的同時降低了系統的計算複雜度。基於真實布料樣本的離線實驗驗證了所提出的最優Gabor濾波器能有效地應用於瑕疵檢測。

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Issue: Vol. 23 No. 4 (2016)
Section: Original Research Articles
Pages: 213-217
Submitted: 2016-06-12
Published: 2016-06-12
ID: JHGT-16-220
Views: 1
Downloads: 0

引用 How to cite

Tong, L., & Wong, W. K. (2016). Design of Optimal Gabor Filter for Fabric Defect Detection. Journal of the Hwa Gang Textile, 23(4), 213-217. https://jhgt.org.tw/article/view/197

@article{tong2016_197,
  author  = {Tong, L. and Wong, W. K.},
  title   = {Design of Optimal Gabor Filter for Fabric Defect Detection},
  journal = {Journal of the Hwa Gang Textile},
  year    = {2016},
  volume  = {23},
  number  = {4},
  pages   = {213--217},
  issn    = {1025-9678},
  url     = {https://jhgt.org.tw/article/view/197}
}

TY  - JOUR
AU  - Tong, L.
AU  - Wong, W. K.
TI  - Design of Optimal Gabor Filter for Fabric Defect Detection
JO  - Journal of the Hwa Gang Textile
T2  - 華岡紡織期刊
VL  - 23
IS  - 4
PY  - 2016
SP  - 213
EP  - 217
KW  - Fabric Quality Inspection
KW  - Defect Detection
KW  - Optimal Gabor Filter
KW  - Differential Evolution
SN  - 1025-9678
UR  - https://jhgt.org.tw/article/view/197
AB  - This paper presents a novel design method for optimal Gabor filters for solving real time fabric inspection problem in fashion industry. In this paper, based on analysis of the features of fabric defects, the defect detection model utilizes DE to optimize the parameters of Gabor filters, which helps achieve the best feature extraction of defects. Using optimal Gabor filters instead of a Gabor filter bank, this method is able to obtain high efficiency, and reduce the total computational cost. The performance of the proposed method is evaluated through extensive experiments on real fabric samples.
ER  -

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