首页 | 本学科首页   官方微博 | 高级检索  
     

基于小波提升变换的边缘检测及应用
引用本文:管声启,董友耕.基于小波提升变换的边缘检测及应用[J].计算机与现代化,2009(7):142-144.
作者姓名:管声启  董友耕
作者单位:西安工程大学机电工程学院,陕西,西安,710048
摘    要:在分析了小波提升格式的基础上,提出了基于小波提升变换的图像边缘检测新算法.首先,通过小波提升分解获得水平、垂直、对角线细节子图和近似子图.然后,根据子图特性分别采用不同的算子进行边缘检测.最后,利用小波逆变换重构图像.通过在交通车流量检测的实验表明了该方法有效性.

关 键 词:提升格式  小波变换  边缘检测  车流量

Edge Detection Based on Wavelet Lifting Transform and Its Application
GUAN Sheng-qi,DONG You-geng.Edge Detection Based on Wavelet Lifting Transform and Its Application[J].Computer and Modernization,2009(7):142-144.
Authors:GUAN Sheng-qi  DONG You-geng
Affiliation:College of Mechanical & Electronic Engineering;Xi'an Polytechnic University;Xi'an 710048;China
Abstract:According to wavelet lifting scheme analysis,a new method for edge detection based on wavelet transform is presented.Firstly,sub-images of horizontal,vertical and diagonal details are acquired through the wavelet decomposition.Secondly,according to sub-images characteristics,sub-image edges are detected by different edge detection operator.Lastly,image is reconstructed through the inverse wavelet transform.The experimental result confirms that the proposed method is feasible through traffic flow detection.
Keywords:lifting scheme  wavelet transform  edge detection  traffic flow
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号