基于多结构元素的数学形态学图像边缘检测

提出一种基于多结构元素的数学形态学图像边缘检测算法。利用边缘与噪声具有不同的形态,在进行边缘检测时,只需要先确定出梯度突变的像素点,然后再利用多结构元素对该像素点进行二值形态学的腐蚀操作,以确定该像素点是边缘点还是噪声点:若是噪声点则被滤除,若是边缘点则保留。为验证算法的效果,给出了本文算法和几种传统算子对图像进行边缘提取的实验结果。结果表明,该算法成功地完成了图像的边缘检测,且检测效果明显优于经典的Sobel算子和Canny算子。

Image Edge- Detection Based on Mathematical Morphology of Multi- Structure Element Algorithm

Based on mathematical morphology of multi-structure element,an algorithm of image edge-detection was proposed.With edge threshold and noise having different morphology,while detecting the edge,it needs determining the pixel whose gradient varies obviously.Then it applies multi-structure element to erosion operating of binary morphology to determine that the pixel is edge or noise.If it is noise,the pixel is removed,otherwise kept.In order to test the effect of algorithm,the results of this algorithm and of several traditional algorithms to extract edge of image were given.Experiment results show that the algorithm detects image edge successfully,and effect of edge-detection is evidently better than classical Sobel operator and Canny operator.