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李春雷; 张兆翔; 刘洲峰; 廖亮; 赵全军; Chunlei Li
Source Publication山东大学学报(工学版)
Other AbstractIn 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.
KeywordFabric Defect Defect Detection Visual Saliency Local Binary Pattern Textural Difference Segment
Document Type期刊论文
Corresponding AuthorChunlei Li
Recommended Citation
GB/T 7714
李春雷,张兆翔,刘洲峰,等. 基于纹理差异视觉显著性的织物疵点检测算法[J]. 山东大学学报(工学版),2014,44(4):1-8+30.
APA 李春雷,张兆翔,刘洲峰,廖亮,赵全军,&Chunlei Li.(2014).基于纹理差异视觉显著性的织物疵点检测算法.山东大学学报(工学版),44(4),1-8+30.
MLA 李春雷,et al."基于纹理差异视觉显著性的织物疵点检测算法".山东大学学报(工学版) 44.4(2014):1-8+30.
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