| 基于多分辨率的改进LBP特征的织物缺陷检测算法研究 |
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| 引用本文： | 丁淑敏,李春雷,刘洲峰,黎小静. 基于多分辨率的改进LBP特征的织物缺陷检测算法研究[J]. 郑州纺织工学院学报, 2012, 0(4): 38-41 |
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| 作者姓名： | 丁淑敏 李春雷 刘洲峰 黎小静 |
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| 作者单位： | 中原工学院,郑州450007 |
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| 基金项目： | 河南省教育厅科学技术研究重点项目（12A510028）;河南省自然科学基金资助项目（122300410049） |
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| 摘 要： | 在传统LBP算子的基础上，结合织物图像纹理特征，提出了一种基于多分辨率的改进LBP特征的织物缺陷检测算法：将图像分块，提取在不同分辨率下的改进LBP的特征并构造出用于描述图像块的特征向量，使用SVM分类器判断图像块是否属于缺陷区域．实验结果表明该算法有效．
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| 关 键 词： | LBP 多分辨率 支撑向量机 织物缺陷 |
Research of Fabric Defect Detection Based on Multi-resolution Improved Local Binary Pattern Operator |
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| DING Shu-min,LI Chun-lei,LIU Zhou-feng,LI Xiao-jing. Research of Fabric Defect Detection Based on Multi-resolution Improved Local Binary Pattern Operator[J]. Journal of Zhengzhou Textile Institute, 2012, 0(4): 38-41 |
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| Authors: | DING Shu-min LI Chun-lei LIU Zhou-feng LI Xiao-jing |
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| Affiliation: | (Zhongyuan Uinversity of Technology, Zhengzhou 450007, China) |
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| Abstract: | In this paper, a novel fabric defect detection algorithm based on multi-resolution improved LBP operator is proposed. Fabric images are divided into the image blocks, and their multi-resolution improved LBP features are extracted. Finally, SVM classifier is used to classify the fabric defects. Experimental results demonstrate the efficiency of our proposed algorithm. |
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| Keywords: | local binary pattern multi-resolution SVM fabric defect |
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