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1)  yarn faults detection
纱疵检测
1.
As an important aspect of detection and quality control in the textile industry, yarn faults detection technique plays an more important role.
对于电容传感器检测到的纱线的线密度信号,提出了基于小波变换的纱疵检测算法,结果表明可以有效地对纱线信号的突变量进行检测。
2)  yarn faults classifying test
纱疵检验
3)  Defect detection
疵点检测
1.
Fabric defect detection based on wavelet lifting scheme;
基于小波提升格式的织物疵点检测
2.
Fabric defect detection method based on discrete wavelet transform;
基于离散小波变换的织物疵点检测方法
3.
Survey on fabric defect detection based on machine vision
基于机器视觉的织物疵点检测方法综述
4)  fabric defect detection
疵点检测
1.
By applying machine vision and digital image processing technology to fabric defect detection,this paper puts forward a new method of detection of fabric defect,namely image distance difference arithmetic,which includes image collection,image precess and defect detection.
将机器视觉与数字图像处理技术引入到织物疵点检测中,提出了一种织物疵点检测算法———图像距离差算法,即图像采集、图像处理、疵点识别等。
2.
By using machine vision and digital image processing technology to fabric defect detection, this paper brings forward a new method of detection of fabric defect, namely image distance difference arithmetic.
本文将机器视觉与数字图像处理技术引入到织物疵点检测中,提出了一种织物疵点检测算法——图像距离差算法。
5)  defect detection
瑕疵检测
1.
An improved multichannel Gabor filter algorithm for fabric defect detection
一种改进的多通道Gabor滤波器布匹瑕疵检测方法
2.
Present a multichannel Gabor filter scheme for textile defect detection.
给出一种基于多通道Gabor滤波技术实现高速实时布匹瑕疵检测方法。
3.
To meet accuracy and real-time requirements of the fabric defect detection,this article proposed a detection method based on image energy,through discussions of several texture analysis methods.
为了满足布匹瑕疵检测的准确性和实时性要求,通过对几种纹理分析方法的讨论,提出了一种基于能量的瑕疵检测方法;该方法利用图像极坐标系下的傅立叶频谱,得到图像纹理频谱能量的分布情况;由于纹理的空间周期性,其图像的能量在对应的频率处会有峰值出现;如果将这些频率处集中的能量置零,通过傅立叶逆变换得到的图像纹理会被模糊甚至去除,瑕疵与纹理的对比度得到增强;这时再进行边缘检测和二值化处理,即可将瑕疵从背景中提取出来,从而完成瑕疵的检测;实验证明,该方法检测速度快,准确率高,能够满足检测要求。
6)  flaw inspection
疵病检测
补充资料:纱疵
      见条干。
  

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