摘要
针对图像的边缘检测算法抗干扰性能差的缺点,为对图像特征进行准确识别,抑制噪声干扰,提出了一种多刻度数学形态学边缘检测算法。算法首先在同一尺度下用多个结构元素分别对图像进行边缘检测,经过合成得到尺度下的边缘图像。可对不同尺度下的边缘图像加权求和,再经过二值化、去除噪声等处理,最终得到多尺度多结构元素形态学检测的边缘图像。最后在Matlab仿真环境下进行仿真,分别以原始图像和噪声干扰图像为对象进行仿真,仿真结果表明:方法具有较好的抗干扰性和定位准确性,得到的边缘更为完整、细节更为明显的效果。
Common edge detection algorithm has bad anti-interference,and to deal with this problem,an algorithm of multi-scale mathematical morphology edge detection was proposed.Firstly,with the same scale,the multi-structure elements were adopted in edge detection,and then the edge image with one scale was gained through synthesizing.Secondly,the edge images with different scales were weighted,summed,binarized,and the noise was suppressed,and at last,the edge image was obtained using the multi-scale mathematical morphology edge detection.The original image and the noise interference image were simulated respectively in the Matlab simulation environment,and the results of simulation show that the algorithm in this paper has better anti-interference and positioning accuracy,and the obtained edge is more complete and details are more obvious.
出处
《计算机仿真》
CSCD
北大核心
2010年第12期267-270,共4页
Computer Simulation
关键词
数学形态学
边缘检测
多刻度形态学
多结构元素
Mathematical morphology
Edge detection
Multi-scale morphology
Multi-structure elements
