在使用模板匹配方法检测织物瑕疵的过程中，通过实时采集、分析织物的灰度图像，获得织物纹理的统计信息，并从中提取出正常纹理的特征。
In the detection of fabric flaw based on template matching, statistical information of natural and normal texture of the fabric can be extracted via collecting and analyzing the gray image.
本文提出了一种运用图像处理技术检测织物纹理方向、识别织物组织以及经纬密测量的新方法。
A novel approach for detecting fabric texture directions, recognizing weave patterns and measuring yarn density is proposed using image-processing technology.
利用图像处理技术完成织物疵点检测是一个纹理特征提取和模式识别问题。
Fabric defect inspection using image processing technology is a problem of extracting of textural features and pattern recognition.
利用图像处理技术完成织物疵点检测是一个纹理特征提取和模式识别问题。
Fabric defect inspection using image processing technology is a problem of extracting of textural features and pattern recognition.
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