基于多尺度张量的边缘检测算法

An edge detection algorithm based on multi-scale tensor

  • 摘要: 如何在确保边缘精确定位的同时,最大程度地抑制噪声以及图像灰度不均匀所产生的伪边缘点,是当前边缘检测所面临的难题。针对此问题,提出了多尺度张量的边缘检测算法,这种算法可以在不同尺度下获取更丰富的局部结构信息。选取适当的阈值,滤除噪声点和伪边缘,从而得到细节丰富的边缘。实验证明该方法得到的边缘细节丰富,且抗噪声性能较好。

     

    Abstract: To ensure the location accuracy of edge and minimize false edge points produced by noise and uneven gray scale in image is a difficult problem for edge detection. A new multi-scale tensor algorithm is presented to detect image edge. This method could obtain richer partial structure information in different scales. It is proved to be efficient in precision edge detection and noise suppression by experiments.

     

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