In this paper, an image multiscale edges extraction algorithm based on wavelet is presented.
本文给出一种基于子波变换的图象多尺度边缘提取方法。
Image multiscale edges are important features for image representation. It has been used in image processing and computer vision.
图象多尺度边缘是图象的重要特征，已广泛应用于图象处理和计算机视觉等多个领域。
From multiscale edges detection, the conclusion is drawn that in certain scale, circular defect is considered as crest edge in two directions, and bar defect in one direction.
从多尺度边缘检测的角度分析得出：在一定尺度下，圆形缺陷在两个方向上都看作是屋脊边缘，而条形缺陷只在一个方向上被看作是屋脊边缘。
From multiscale edges detection, the conclusion is drawn that in certain scale, circular defect is considered as crest edge in two directions, and bar defect in one direction.
由多尺度边缘检测理论可知：在适当尺度下，圆形缺陷在相互正交的两个方向上都是屋脊边缘，而条形缺陷只在一个方向上是屋脊边缘。
The principle of multiscale edge detection by wavelets is presented firstly, and the multiscale edges of the earth's gravity field are analyzed with the EGM96 model as an example.
简要介绍了小波多尺度边缘检测的基本原理，以EGM96重力场模型为例分析了地球重力场的多尺度边缘。
The principle of multiscale edge detection by wavelets is presented firstly, and the multiscale edges of the earth's gravity field are analyzed with the EGM96 model as an example.
简要介绍了小波多尺度边缘检测的基本原理，以EGM96重力场模型为例分析了地球重力场的多尺度边缘。
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