| 织物疵点自动检测技术的研究进展 |
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| 引用本文： | 袁端磊,路立平,宋寅卯. 织物疵点自动检测技术的研究进展[J]. 郑州轻工业学院学报(自然科学版), 2005, 20(3): 69-73 |
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| 作者姓名： | 袁端磊 路立平 宋寅卯 |
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| 作者单位： | 郑州轻工业学院,电气信息工程学院,河南,郑州,450002 |
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| 摘 要： | 介绍了织物纹理特征的提取算法、疵点分类方法和织物图像处理的硬件平台.在分析了各种算法的优点和缺点的基础上,提出了将织物疵点的检测分为粗检和细检两个过程的新思路,既可满足快速性的要求,又具有广泛的适应性.
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| 关 键 词： | 织物疵点 图像分析 纹理 疵点检测 |
| 文章编号： | 1004-1478（2005）03-0069-05 |
| 收稿时间： | 2004-12-21 |
| 修稿时间： | 2004-12-21 |
Recent studies on automatic fabric defect detection technique |
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| YUAN Duan-lei,LU Li-ping,SONG Yin-mao. Recent studies on automatic fabric defect detection technique[J]. Journal of Zhengzhou Institute of Light Industry(Natural Science), 2005, 20(3): 69-73 |
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| Authors: | YUAN Duan-lei LU Li-ping SONG Yin-mao |
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| Abstract: | An elaborate overview of the various approaches which are used for fabric defect detection defect classification and hardware platform dealing with fabric images are presented.The algorithms used to extract the characteristics of textile texture are discussed. Based on the analysis of the advantages and disadvantages of these algorithms, a novel thought about algorithm is given.Dividing fabric defect detection system into two stages:simple detect and detailed detect,which has the characteristics of quickness and adaptability. |
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| Keywords: | fabric defect image analysis texture defect detection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
