关键词: 梯度特征列表, 非均匀采样, 匹配

Abstract: The feature list correlation algorithm can be adopted in the calculation of the similarity measurement of the machine vision object matching.As the result，the processing time decreases considerably，objects can also be clearly recognize due to the high values of the coefficients and the high values of the PSNR.A machine vision objects matching based on the gradient feature list is provide in the paper，in which the feature pixels are added to the feature lists by the non-uniform sampling technique and the gradient normalized cross correlation of feature pixel points is adopted.So the performance of the features list correlation algorithm can be further improved.

Key words: Gradient feature list, non-uniform sampling, matching