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.
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 this paper, we provide a new human face detection algorithm based on template-matching, Mosaic image and Support Vector Machines.
本文提出了一种基于模板匹配、马赛克图和支持向量机的人脸检测算法。
A human face detection method based on coarse segmentation of difference image and multi-template matching is proposed.
提出了基于差影法粗分割与多模板匹配的人脸检测方法。
According to matching the head template with the contour image of follow-up frames, it can implement the head detection and tracking with image sequence.
对后续帧，通过与前一帧进行头部模板匹配，完成目标图像序列的头部检测跟踪。
In the detection of motion objects, a method based on movement feature of target (catenary) is proposed. It combines temporal differential method and template matching in image sequence data.
在检测运动物体方面，根据检测对象(接触线)的运动特征提出了一种对图像序列数据采用时态差分法与模板匹配相结合的检测方法。
In the detection of motion objects, a method based on movement feature of target (catenary) is proposed. It combines temporal differential method and template matching in image sequence data.
在检测运动物体方面，根据检测对象(接触线)的运动特征提出了一种对图像序列数据采用时态差分法与模板匹配相结合的检测方法。
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