基于数学形态学的边缘检测算法研究

Research on Edge Detection with Mathematic Morphology

针对传统的边缘检测方法对图像较复杂或含有噪声时的边缘检测效果不佳的问题,论文研究了一种基于多尺度数学形态学的边缘提取方法。实验结果表明:与经典的边缘检测算子相比,该方法能较好地解决边缘检测精度与抗噪声性能的协调问题,具有较好的边缘提取效果。

To improve the limitation of the traditional edge detection method in extracting edge of the image spurred by noise. This paper investigated a multiscale- based edge detection method using mathematic morphological. Experimental results indicate that compared with classical edge detection algorithm, this algorithm can balance accuracy of edge detection and anti- noise performance and has strong ability of edge extraction.