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.
出处
《沈阳理工大学学报》
CAS
2005年第4期23-25,62,共4页
Journal of Shenyang Ligong University
关键词
经典算法
小波变换
边缘检测
图像处理
classic algorithm
wavelet transformation
edge detection
image processing
