
图像边缘检测二维小波算法研究与实现
张红岩、张登攀
The Application of Two Dimensions Wavelet in Image Edges Detection
Zhang Hongyan、 Zhang Dengpan
边沿作为图像视觉的最主要特征,成为图像信息获取的重要内容。小波变换具有检测局域突变的能力,而且可以结合多尺度信息进行检测,因此成为图像信息边缘检测的优良工具。根据二维小波变换的特点,分析了利用二维小波进行图像边缘检测的基本原理,并设计了利用二维小波变换进行多尺度边缘匹配的检测算法。基于研究结果,编写了计算机应用程序,进行实例分析。
Edges as the main characterization of image vision have been throught as the main content in obtaining image information. Wavelet transform has the capacity for detecting local signal mutation and detects information using multiscale character, so it is taken as the excellent tool to detect the edges of the image information. This paper analyzes the basic theory using two dimensions wavelet to detect image edges on the basis of wavelet transform and then designs the detecting algorithm of the multi-scale edge matching. On the basis of researching results,the application programme is made to analyse the true examples.
wavelet transform / multi-scale / edges detection
/
〈 |
|
〉 |