摘要
近年来,小波分析已成为工程学科中迅速发展起来的一个新领域,小波变换在时域和频域同时具有良好的局部化性质,而且对于高频成分采用逐步精细的时域或频域取样步长,可以聚焦到对象的任意细节。介绍了边缘检测的经典算子和小波边缘检测的方法,用Matlab实现后对各种算法进行比较,并分析了各种算法的优劣,单从效果而言,基于小波的算法较好。
In recent years, wavelet analysis has become frontiers of engineering discipline with rapid development. The wavelet transform has perfect characters of localization in both time domain and frequency domain. Also it can sample the step length of radio-frequency component by both time domain and frequency domain and focus on any details of the objects. In this paper, we introduced both classical and wavelet algorithm. Also we compared the two algorithms by using Matlab and elaborated the qualities of both algorithms. At last, we figured out the wavelet algorithm was better from the effect.
出处
《太原科技》
2009年第2期31-33,共3页
Taiyuan Science and Technology
关键词
小波变换
图像处理
边缘检测
wavelet transform
image processing
edge detection