基于小波分析实现图像重心位移的检测

提出一种基于数字图像处理的图像特征识别和确定图像特征区域重心位移的方法，该方法是对安装在气浮滑板上的CCD摄像机在平面上运动的过程中取得的图像序列进行数字化处理。利用B样条双正交小波提取图像特征区域的边缘，通过确定图像特征区域的特征量和利用重心定位技术，从而提高了图像特征的识别和定位能力。由相邻帧图像中特征区域的重心的位置变化，准确地获得气浮滑板的动态位置信息，实现三坐标测量机的低成本化，小型化，具有广阔的应用前景。

Inspection of Displacement of Barycenter by Wavelet Analysis

This paper develops a new kind of method to measure the shape feature and displacement of barycenter. A CCD camera is fixed on the air-bearing module to collect visual signal. Through calculation each frame's characteristic area by using B-spline wavelet transform to obtain edge and eigenvalue by technology of orientation and construct a kind of B-spline wavelet, the capability of identification of character is improved and the position of barycenter of each region is detected. In the paper, constructing compact support scale functions with linear phase, and corresponding compact support biorthgonal wavelets by means of B-spline.