为进一步改善图像处理中的噪声抑制和边缘检测性能,提出了一种多尺度多方向结构元素形态学图像边缘检测算法.该算法基于数学形态学中结构元素的方向性差异,充分利用了腐蚀、膨胀、开、闭及其变换和组合运算.对图像进行去噪、边缘提取等预处理操作,以提高图像的信噪比和边缘细节;利用递归的多尺度多方向结构元素形态学滤波得到图像的初始轮廓;利用多尺度形态学和多方向结构元素进行图像边缘检测.实验结果表明提出的算法抗噪性强,能有效准确地提取边缘信息.
In order to further improve the performance of noise suppression and edge detection in image processing,a new morphology image edge detection algorithm based on multi-scale and multi-direction structure elements is proposed.The method fully utilizes the erosion,dilation,opening,closing and its transformation and combination operation based on the directional differences of structural elements in mathematical morphology.In order to improve the signal-to-noise ratio and edge details of image,the image denoising,edge extraction and other preprocessing operations are carried out.The image initial contour is obtained by using multi-scale and multi-direction structure elements recursive morphological filtering.Image edge detection is carried out by using multi-scale morphology and multi-direction structure elements.Experimental results show that the proposed algorithm has more powerful anti-noise performance and can extract the edge information effectively and accurately.
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