在分析Gabor小波的基础上，提出了一种加权Gabor梯度算法，该算法可以得到比传统梯度算子更为准确的梯度方向。并在此基础上，提出了基于加权Gabor梯度的多尺度角点检测算法。实验结果表明，本文算法与两个经典算法比较，在角点检测性、定位准确性以及抗噪性上，有明显提高。

This paper proposes the weighted Gabor gradient algorithm based on the analysis of the characters of Gabor wavelet. The new method can obtain the more accurate direction of the gradient than the traditional gradient operators. And a new comer detecting algorithm based on the multi-scale weighted Gabor gradient is proposed. Experimental results with some synthetic and real images show that this new algorithm detects the comer more efficiently, locates the comer more accurately, and restrains the noise more effectively than the two classical comer detecting algorithms.