Edge extraction method with multi-scale gradient
一种基于多尺度梯度的边缘提取方法

To extend the application of traditional edge extraction methods based on gradient, a new method combined with multi-scale idea was proposed. According to the response of the gradient on the edge, the integration of different scale gradients was used to define the edge feature with a new view, which was self-adaptive to the image. Next, non-maxima suppression was employed to obtain the maximal response of the integrative edge feature, which made the method adapted to strong or weak edge based on the local extremum instead of the global one. Experimental results prove that the method is much better than traditional ones and it is not sensitive to the noise.