提升小波变换在边缘检测中的应用  

Application of Lifting Wavelet Transform in Image Edge Detection

作　　者：何伟[1] HE Wei （Collage of Mathematics and Computer Science, Hubei University, Wuhan 430062, China）

机构地区：[1]湖北大学数学与计算机科学学院,湖北武汉430062

出　　处：《电脑知识与技术》2013年第9期5703-5704,共2页Computer Knowledge and Technology

摘　　要：针对图像边缘集中在图像的高频系数中，该文利用小波变换的性质，将提升小波变换应用于边缘检测中。通过提升小波变换将图像进行分解，首先对低频系数进行Canny算子提取边缘，再分别对三个高频系数进行阂值处理，最后对边缘图和高频系数进行逆变换。实验结果表明：该算法运算速度快，可以形成图像双边缘，使图像的边缘更加清晰、完整。For the image edge in the high frequency coefficients of image, this paper uses the properties of wavelet transform, pro- posed one kind of application of lifting wavelet transform in image edge detection. Through the lifting wavelet transform to im- age is decomposed into one low frequency coefficient and three high frequency coefficients, then uses Canny operator on the low frequency coefficients to extract the edge and the three high frequency coefficients by threshold processing. At last, the edge im- age and the high-frequency coefficients transform reconstruction. Results show that： the algorithm is fast, the formation of image double-edges, the image edge is more clear and complete.

关 键 词：提升小波变换 CANNY边缘检测 阈值处理 

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