一种改进的基于小波变换图像边缘检测  

An Improved Image Edge Detection Based on the Wavelet Transformation

作　　者：周洪成[1] 董慧颖[1] 

机构地区：[1]沈阳理工大学信息科学与工程学院,辽宁沈阳110168

出　　处：《沈阳理工大学学报》2005年第4期23-25,62,共4页Journal of Shenyang Ligong University

摘　　要：由于存在噪声,采用经典算子的方法,图像的边缘检测效果不好.本文首先介绍了经典的边缘检测.然后,针对上述算法的缺陷,应用小波变换对图像边缘进行检测,能得到较好的边缘,但是去掉了一些模糊的、弱的边缘.鉴于此,提出改进的基于小波变换的边缘检测.通过实验结果的比较,证明了所用方法的有效性.Edge detection is one of the main techniques in the image processing.Due to noise,the effect of the edge detection is not very good with classic Roberts operator and Prewitt operator,etc.Firstly the classic method of the edge detection is introduced.Then,the image edge detection of wavelet transformation is stated,it can get good edge,but losing weak edge.So adaptive thresholds edge detection for image based on wavelet transformation is presented.The result shows that the mathod is effective.

关 键 词：经典算法 小波变换 边缘检测 图像处理 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]