在电视目标跟踪系统中,图像的匹配识别也占有关键的地位,本文采用了归一化互相关法和SSDA加速算法进行图像匹配。
In a TV target tracing system, image matching recognition also play an important part. This thesis applies correlation and SSDA acceleration algorithm to image matching.
提出一种基于归一化互相关系数的图像序列运动目标检测方法。
A new method for image sequence object detection based on the normalized cross correlation coefficient is proposed.
区域匹配中最常用的算法是归一化互相关方法。
The normalized cross correlation algorithm is a in common use method of the area matching.
概率成像方法是利用测量的地面电场与电场扫描函数进行归一化的互相关运算,从而对地下电荷进行定位。
Probability tomography, as a new potential approach of geophysical interpretation, is based on the relation between the measured surface electric field and the scanning function.
概率成像方法是利用测量的地面电场与电场扫描函数进行归一化的互相关运算,从而对地下电荷进行定位。
Probability tomography, as a new potential approach of geophysical interpretation, is based on the relation between the measured surface electric field and the scanning function.
应用推荐