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Textile Inspection Based on À trous Wavelet Transform

Published: 30 September 2024 Publication History

Abstract

In this paper, a textile defect detection method is introduced based on à trous wavelet transform. The processing procedure has two stages: training and testing. In each stage, the images are decomposed using à trous wavelet transform, and the approximate sub-bands are extracted at an appropriate level. This transform is a time-invariant transform. It is useful for several applications, such as textile defect detection. The purpose of the proposed method is to reinforce the energy of the defected area and reduce the energy of the background to allow the detection process, efficiently. The threshold values are energy estimations for rows and columns. The method is applied on different datasets; such as dataset 4 of DAGM dataset, the dataset from industrial automation research laboratory and our own practical dataset.

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Published In

cover image Wireless Personal Communications: An International Journal
Wireless Personal Communications: An International Journal  Volume 138, Issue 3
Oct 2024
634 pages

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 30 September 2024
Accepted: 10 March 2024

Author Tags

  1. Textile defect detection
  2. À trous wavelet transform
  3. Pattern recognition

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