基于多方向多尺度的强噪声图像边缘检测算法

Edge Detection Algorithm of Heavy Noisy Image Based on Multi-Direction and Multi-Scale

在噪声图像中如何有效地提取边缘是图像分析中的难点,至今还没有得到圆满解决。本文在修正的广义形态边缘检测算子的基础上,提出了基于多方向多尺度的强噪声图像边缘检测算法。该算法既能检测出具有方向性的边缘,还能有效抑制无方向性的噪声。为验证算法的有效性,针对强噪声图像进行了边缘获取实验,实验结果证明,该算法对获取强噪声的图像边缘是非常有效的。

Efficient edge extraction in a noisy image is a challenge in the field of image analysis and no desirable solution is yet available.On the basis of corrected general morphological edge detectors,an edge detection algorithm based on multi-direction and multi-scale is proposed for heavy noisy image in this paper.It not only detects edge with directionality but also restrains non-directional noise effectually.To test validity of the algorithm,a series of experiments are performed and the results show that the algorithm is effective to detect the edge from their heavy noisy images.