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基于机器视觉的织物经纬密度自动检测研究

Research of Fabric Density’s Automatic Detection Based on Machine Vision

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【作者】 刘裕文杜文琴

【Author】 LIU Yu-wen;DU Wen-qin;School of Texitile & Clothing, Wuyi University;Guangdong Higher Education Engineering Technology Research Center, Wuyi University;

【机构】 五邑大学纺织服装学院五邑大学广东省高校功能性纺织品工程技术研究中心

【摘要】 为实现机织物密度的自动测量,设计了简单的图像采集装置以获得高清的织物图像.利用MATLAB编写算法,对织物图像进行图像灰度化、直方图规定化、中值滤波、灰度增强、带通滤波等处理,从而获得织物经纬方向的信息,得出机织物的经纬密度.实验表明,本算法不仅适用于纯色织物,也适用于一些简单的印花织物,与人工检测结果相比,机器检测结果的相对误差均在2%以内,假设检验结果说明算法具有较高的可信度和稳定性.

【Abstract】 For detecting fabric density automatically, a simple system for getting HD fabric image was built. MATLAB-based algorithms, gray level transformation, histogram specification, median filtering,gray level increase, and band-pass filter were used to deal with fabric image to get fabric density automatically. Experiments show that the algorithms are suited for plain fabrics and some simple printed fabrics; contrast experiments show the relative error between manual measurement and image measurement is less than 2%, and the hypothesis testing results demonstrate that the algorithms have high reliability and stability.

  • 【文献出处】 五邑大学学报(自然科学版) ,Journal of Wuyi University(Natural Science Edition) , 编辑部邮箱 ,2015年02期
  • 【分类号】TP391.41
  • 【被引频次】3
  • 【下载频次】123
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