A New Multi-scale Corner Detecting Method Based on Weighted Gabor Gradient
基于加权Gabor梯度的新型多尺度角点检测方法

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 corner 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 corner more efficiently, locates the corner more accurately, and restrains the noise more effectively than the two classical corner detecting algorithms.