图像边缘检测技术直接影响以目标识别为目的的后续图像处理操作,有效地提取出图像中所携带的目标信息是图像边缘检测的主要目的。为了实现目标轮廓的有效提取,提出一种基于欧氏距离图的图像边缘检测算法。该方法计算图像内像素点之间的欧氏距离,得到图像的距离图,距离图很好地描述了图中景物的外部轮廓;对距离图进行改进的Canny算子边缘检测,可以有效地得到图中物体的轮廓。与一般的边缘检测算法相比,本文算法能够抑制过于细小和琐碎的细节,并能够准确地提取目标的整体轮廓信息,为后续目标识别奠定了良好基础。

The results of image edge detection directly affects the subsequent image processing operations. Effectively extracting the information carried by the image target is the main purpose of the image edge detection. In order to realize the extraction of a target outline, an image edge detection method based on a Euclidean distance graph is proposed. The Euclidean distance between points in the image is calculated, and the distance graph is obtained. The scenery outside the outline is well described in the graph. The scenery outline can be effectively extracted by using an improved Canny operator for edge detection. Compared with other general edge detection algorithms, the method can effectively realize the detection of a target's outline. Because small and trivial details are suppressed, the method gives a better basis for further image target outline recognition.