基于小波变换的图像边缘提取算法  

Image Edge Extraction Algorithm Based on Wavelet Transform

作　　者：陆莹[1] 牛蕊[1] 王伟[1] 李滨[1] 杨晓磊[1] 邢传军[1] 李鑫[2] 

机构地区：[1]黑龙江工程学院,黑龙江哈尔滨150050 [2]哈尔滨广厦学院,黑龙江哈尔滨150025

出　　处：《测绘与空间地理信息》2015年第3期21-23,27,共4页Geomatics & Spatial Information Technology

基　　金：黑龙江省教育厅科学技术研究项目(12531559)资助

摘　　要：在给出边缘检测性能判断标准和传统的模极大值点筛选的缺陷之后,基于边缘检测提出了改进的小波变换模局部极大值点算法。在这个基础之上,又针对交通系统的实时性,提出了一种改进的边缘信息的车辆检测算法,使得对运动车辆的边缘检测具有更加良好的效果。最后通过仿真实验,证明本论文提出方法的有效性,得到了多帧道路图像的边缘,较好地解决了传统边缘检测方法在边缘检测时会出现伪边缘和有意义边缘损失这两个问题,对将来车辆交通监控系统等方面的研究起到了一定的帮助作用。Based on the performance of edge detection criterion and the defects of the traditional screening modulus maxima points af-ter that, based on the wavelet transform modulus of edge detection is proposed to improve local maximum value point algorithm.On this basis, and based on real-time traffic system, put forward an improved edge information of the vehicle detection algorithm, makes to the edge of the moving vehicle detection has a better effect.Finally through the simulation experiments to verify the effectiveness of the proposed method in this paper to get the edge of the road images more and better solve the traditional edge detection methods in the edge detection for pseudo edges and meaningful loss occurs the two problems, the future vehicle traffic monitoring and control system of a certain help.

关 键 词：小波变换 边缘检测 模极大值 

分 类 号：P2[天文地球—测绘科学与技术] TP75[自动化与计算机技术—检测技术与自动化装置]