Earticle

초록

영어

A new fabric defect detection algorithm base on Gabor filters is proposed. The spectral characteristics of both fabric texture and defects are analyzed. Gabor wavelet which can be considered as a bank of Gabor filters are used for the decomposition of fabric image. Based on spectral characteristics of fabric texture and defects, a new tuning method of Gabor wavelet is proposed to enhance the energy of defective region and attenuate the energy of normal texture. Decomposition images from different scales and orientations are fused into a single one to emphasize the presence of different kinds of defects. For comparison, the performance of proposed method as well as other two other defect detection methods using Gabor filters is evaluated with typical fabric defect samples. The experiment results obtained indicate that the proposed method is more effective than the other two.

목차

Abstract
 1. Introduction
 2. Gabor Wavelets
 3. Spectral Characteristic of Fabric Texture and Defects
 4. Adaptive Tuning of Gabor Wavelet
  4.1. Selection of h Uk
  4.2. Selection of l Ul
  4.3. Selection of M and N
 5. Fabric Defect Detection Algorithm
  5.1. Results and Discussion
 6. Conclusions
 Acknowledgments
 References

키워드

저자

• Luo Jie [ School of Automation, Wuhan University of Technology, China ]
• Hu Quan [ School of Automation, Wuhan University of Technology, China ]
• Bi Mingde [ Department of Control Science and Engineering, Huazhong University of Science and Technology, China ]
• Ao Fei [ State Grid Hunan Electric Power Corporation Research Institute, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605