【摘要】 通过扩展传统的基于梯度的边缘提取方法,提出一种新的简单有效的边缘提取方法。根据梯度在边缘处的响应,基于不同尺度的梯度的有机结合得到一种新的边缘特征定义。该表示方法具有自适应性,然后结合非最大抑制的思想得到响应大的位置,即自适应地将局部极大信息确认为边缘,从而得到具有鲁棒性的边缘提取结果。实验表明,该算法的性能优越,对噪声不敏感。更多还原

【Abstract】 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.更多还原