基于AR模型的机织物线状疵点研究  

Woven fabric linear defect research based on AR model

作　　者：朱俊岭[1] 汪军[1,2] 张孝南[3] 李立轻[1] 陈霞[1] 庞明军[3] 

机构地区：[1]东华大学纺织学院,上海201620 [2]东华大学纺织面料技术教育部重点实验室,上海201620 [3]中国纺织科学研究院江南分院,浙江绍兴312071

出　　处：《纺织学报》2012年第8期50-54,共5页Journal of Textile Research

基　　金：纺织面料技术教育部重点实验室培育项目(PY0801);绍兴科技攻关计划项目(2011A21010)

摘　　要：针对机织物线状疵点检测效果不佳的问题,采用AR模型的谱估计方法对此问题进行研究。首先将获取织物的图像按照一定的子窗口大小分割,并将子窗口内图像的灰度值按照纵向、横向2个方向分别使用方差的方式投影,得到方差序列;然后选择合适的AR模型阶数,依据Burg算法估计得到谱数据;最后通过求得带有疵点图像的谱估计与正常纹理图像得到的谱估计之间的相关系数检测出疵点及其位置。实验验证表明这种方法对机织物线状疵点的检测是有效的。As the detection effect of woven fabric linear defects is far from satisfaction, the spectral estimation method of AR model was used to research the problem. Firstly, split fabric image obtained into certain size according to child windows. And also from both the vertical and horizontal directions, turn gray value of the child windows into variance sequence by the way of using the variance projection. Secondly, choose the appropriate AR model order and use Burg algorithm to estimate spectral data. Finally, according to the correlation coefficient with the spectral estimation between a defect image and a normal one, the defect and its location will be detected. The effectiveness of the method of the linear defect detection on woven fabric is proved by experiment.

关 键 词：AR模型 Burg算法 机织物 疵点检测 线状疵点 

分 类 号：TS101.9[轻工技术与工程—纺织工程]