基于小波变换的图像边缘检测技术的改进  

The Improvement in Image Edge Detection Based on Wavelet Transformation

作　　者：周洪成[1] 

机构地区：[1]金陵科技学院信息技术学院,江苏南京211169

出　　处：《金陵科技学院学报》2009年第2期31-35,共5页Journal of Jinling Institute of Technology

摘　　要：边缘检测是图像处理的主要内容之一。由于存在噪声,经典算法的图像边缘检测效果不好,针对其缺陷,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。因此,采用自适应阈值的改进型小波边缘检测算法,在消噪的同时,可以很好地保留微弱的边缘。通过实验结果的比较,证明了这种方法的有效性。Edge detection is one of the most elementary techniques in the image processing. Due to noise, the effect of the edge detection with the classic method is bad. The image edge detection of wavelet transformation is applied, thus good edge can be got, but weak edge is lost. So the adaptive threshold image edge detection based on the improved wavelet transformation is presented, which can de-noise and retain a weak edge as well. The result shows that the way 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]