JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2014, Vol. 44 ›› Issue (4): 1-8.doi: 10.6040/j.issn.1672-3961.2.2013.344

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A novel fabric defect detection algorithm based on textural differential visual saliency model

LI Chunlei1, ZHANG Zhaoxiang2, LIU Zhoufeng1, LIAO Liang1, ZHAO Quanjun1   

  1. 1. School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou 450007, Henan, China;
    2. School of Computer Science and Engineering, Beihang University, Beijing 100191, China
  • Received:2013-04-30 Revised:2014-06-26 Online:2014-08-20 Published:2013-04-30

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Abstract: In order to effectively detect defect for fabirc image with variety of defects and complex texture, a novel fabric defect detection scheme based on textural difference-based visual saliency model was proposed, which considered the characteristics of fabric image and human visual perception. First, the test image was split into image blocks, and textural feature was extracted using LBP operator for each image block. Second, saliency was calculated by comparing their textural feature with the average texture feature. Finally, the threshold segmentation algorithm was used to localize the defect region. Comparing with the current saliency model, the proposed saliency model could effectively distinguish the defect. In addition, segmentation scheme was superior to the current defect detection algorithm in detection and localization.

Key words: fabric defect, defect detection, textural difference, segment, visual saliency, local binary pattern

CLC Number: 

  • TP391
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