基于分形和数学形态学的图像边缘检测方法

图像处理是视觉测量方法必需的技术,图像处理结果的好坏直接影响到了测量的质量。其中,边缘检测是重要的一步。视觉测量不仅需要较好地检测到边缘,还需要边缘尽可能是连续的。该文提出了一种基于分形理论和数学形态学的边缘检测方法。该方法利用分形理论中离散分数布朗随机场来抑制噪声得到按分形维分布的灰度图像,采用数学形态学检测连续的特征边缘。试验表明,采用该方法比经典的边缘检测算子能够更好地达到视觉测量的要求。

A Method for Edge Detection of the Image Based on Fractal and Mathematical Morphology

The technology of image processing is needed by the view measurement and the result of the image pro-cessing directly affects the quality of the measurement.The edge detection is one of the most important steps in this case.The measurement needs that the edge should be not only detected better but also as possibly as consecutive.This paper proposes a method for edge detection of the image based on fractal theory and mathematical morphology.The method gets the gray-level image distributed by fractal dimension used the DFBR field of the fractal theory to restrain the noise.After this,we detect the consecutive edge used by mathematical morphology.The examples show that using this method it can obtain better requirement of view measurement than using the classic operators of edge detection.