基于形态学多结构元边缘提取方法的研究

Study on multi-structuring element edge detection operator of mathematical morphology

通过对传统形态学边缘提取方法的分析,提出了基于形态学多结构元边缘提取算子,该算子既有良好的边缘提取特性,又可很好地解决了噪声抑制和保持图像边缘细节之间的矛盾,通过灰度加权平均值作为阈值进行二值化,更加突出了边缘效果。实验表明:基于形态学的多结构元边缘提取算子,具有较高的噪声抑制能力,能够完成复杂背景下的边缘提取。

Based on the analysis of traditional edge detection operator of mathematical morphology, a multi- structuring element edge detection operator of mathematical morphology is proposed, which can suppress noise as much as possible while preserving fine details. Threshold acquired by weighted average of gray levels is used to binarize the image,which has a better effect for improving image edge. Experiment results show that the multi-structuring element edge detection operator of mathematical morphology which suppresses noise effectively can detect the edges from the complex background.