| 基于离散小波变换的织物疵点检测方法 |
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| 引用本文： | 祝双武,郝重阳.基于离散小波变换的织物疵点检测方法[J].计算机工程与应用,2007,43(25):111-113. |
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| 作者姓名： | 祝双武 郝重阳 |
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| 作者单位： | 西北工业大学,电子信息学院,西安,710072 |
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| 基金项目： | 陕西省科技厅国际合作资助项目
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陕西省教育厅产业化重点项目 |
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| 摘 要： | 提出了一种基于离散小波变换的织物疵点检测新方法。首先通过对采集织物图像进行小波变换,然后把子图分割为相互连接、互不交叠的子窗口,计算每个子窗口小波系数的标准差作为特征值,最后对这些特征值再次计算标准差与极差,以此作为依据与正常织物进行比较,实现对织物疵点的检测。通过对不同疵点进行检测实验,证明了该算法是可行有效的,检测的正确率平均可达90%以上。
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| 关 键 词： | 小波变换 疵点检测 纹理 织物 |
| 文章编号： | 1002-8331（2007）25-0111-03 |
| 修稿时间： | 2006-11 |
Fabric defect detection method based on discrete wavelet transform |
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| ZHU Shuang-wu,HAO Chong-yang.Fabric defect detection method based on discrete wavelet transform[J].Computer Engineering and Applications,2007,43(25):111-113. |
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| Authors: | ZHU Shuang-wu HAO Chong-yang |
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| Affiliation: | College of Electronic Information，Northwestern Polytechnical University，Xi’an 710072，China |
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| Abstract: | An innovative method for fabric defect detection using discrete wavelet transform is put forward.Firstly,acquiring fabric images is decomposed into four sub-images by wavelet transform.Secondly,after sub-images segmented into many sub-windows without overlapping,standard deviation of those sub-windows are calculated as features.Lastly,standard deviation and largest deviation of those features are calculated again.Fabric defects are detected by differences of standard deviation and largest deviation between image with default and image without default.Validity and feasibility of this method is proved by detected different fabric defect in our experiment,and the detection average accuracy is above 90%. |
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| Keywords: | wavelet transform defect detection texture fabric |
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