Earticle

초록

영어

A new detection approach is proposed to detect various uniform and structured fabric defects based on the multiple Gabor filters and Kernel Principal Component Analysis. First of all, images are filtered by multiple Gabor filters with six scales and four orientations to extract feature vectors. After that, the sub-blocks divided from the feature vectors have been fused and the high-dimension data can be reduced by using Kernel Principal Component Analysis. Finally, the similarity matrix is calculated by Euclidean norm and segmented with OTSU threshold method. The experiment has been done by integrating hardware and NI LabVIEW graphical programming language. Experimental results show that proposed algorithm improves feature extraction capability significantly and has high recognition rate.

목차

Abstract
 1. Introduction
 2. Description of Method
  2.1. Image Inspection
  2.2. Calibration Procedure
 3. Experiments Results and Analysis
 4. Automation for Inspection
  4.1. Acquisition System Hardware Selection and Design
  4.2. LabVIEW Graphical User Interface Design
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Junfeng Jing [ School of Electronic and Information, Xi’an Polytechnic University, Xi’an, 710048, China ]
• Xiaoting Fan [ School of Electronic and Information, Xi’an Polytechnic University, Xi’an, 710048, China ]
• Pengfei Li [ School of Electronic and Information, Xi’an Polytechnic University, Xi’an, 710048, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605