Feature list object matching based on oriented SUSAN features
一种基于方向SUSAN特征的目标特征列表匹配

For the machine vision object matching,the feature list correlation algorithm can be adopted in the calculation of the matching similarity measurement.As a result,the processing time is able to be decreased considerably,and the objects can also be clearly recognized due to the high values of the coefficients and the high values of the Peak Signal-to-Noise Ratio(PSNR).A feature list object matching method based on the oriented Smallest Univalue Segment Assimilating Nucleus(SUSAN)features was proposed.The fea...