基于自适应提升方案的图像边缘检测  

IMAGE EDGE DETECTION BASED ON ADAPTIVE LIFTING SCHEME

作　　者：夏平[1] 向学军[1] 万钧力[1] 

机构地区：[1]三峡大学电气信息学院,湖北宜昌443002

出　　处：《计算机应用与软件》2008年第8期73-74,103,共3页Computer Applications and Software

基　　金：湖北省教育厅自然科研基金项目(D200513001)

摘　　要：图像边缘是由于灰度的不连续所致,是图像信息的一个最基本特征,也是图像处理中探讨的热点问题之一。分析传统的图像边缘检测算法及其存在的问题。通过采用自适应提升小波分析,根据处理图像信息的局部特征自适应地调整预测滤波器和更新滤波器,从而实现与处理信息的准确匹配;同时,改进了小波边缘检测算子,实现了一种适用于自适应提升小波分析的图像边缘检测的算法,并将此算法应用于医学图像的边缘检测。仿真结果表明,该算法比传统的图像边缘检测算法效果更优。Image edge is caused by the discontinuity of grey level, It is the basic characteristic of image information, and it is also one of the hot topics in image processing. The traditional arithmetic of image edge detection and the existing problems are analyzed. Based on adaptive lifting wavelet analysis, the prediction filter and the update filter are adjusted according to the partial characteristic of image information, Thus, accurate matching with the processing image is realized, The wavelet edge detection operator is improved. A new image edge detection algorithm suitable for the adaptive lifting scheme is presented, and this method is applied to the medical image edge detection. The experimental results show that the effect of this algorithm is better than that of the traditional algorithm,

关 键 词：自适应提升小波分析 边缘检测 算子 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TN958[自动化与计算机技术—计算机科学与技术]