摘要
为了更好的提取图像的边缘信息，该文利用小波变换的性质，提出了一种基于提升小波变换的边缘检测方法。通过提升小波变换将图像分解为一个低频系数和三个高频系数。首先对低频系数提取边缘，再分别对高频系数进行平滑处理，最后对边缘图和高频系数进行提升小波逆变换获得源图像的最大边缘信息。
In order to extract the image edge information, this paper uses the propertaes of wavelet transtorm, proposed one lond ot edge detection method based on the lifting wavelet transform. Through the lifting wavelet transform to image is decomposed into one low fre- quency coefficients and three high frequency coefficients. The low frequency coefficients of the edge extraction, respectively of the high fre- quency coefficients smoothing, the edges of the image and the high frequency coefficients are inverse transform of the lifting wavelet to ob- tain maximum edge information of source images.
作者
何伟
HE Wei （Collage of Mathematics and Computer Science, Hubei University, Wuhan 430062,China）
出处
《电脑知识与技术》
2012年第8期5446-5447,共2页
Computer Knowledge and Technology
关键词
提升小波变换
平滑处理
边缘检测
lifting wavelet transform
smooth processing
edge detection
