Wavelet Based Profile Feature Extraction Method
一种基于小波的轮廓特征提取算法

ion It is meaningful to abstract edge feature point from a large amount of 3D point cloud in the reconstruction of curved surface.The 3D data we get must be processed firstly in order to avoid the distortion and deviation during the course of reconstruction.But the common methods for this problem are of little use because noise points and the feature edge have not been analyzed and distinguished.According to this,a new approach based on wavelet edge detection is presented.We select a kind of wavelet similar to mexh as a tool exclusively to detect these two kinds of edge feature points,The following experiments show that: the edge feature points are located accurately by ignoring the disturbance of noise and redundancy.Comparing with former data proceeding methods,this method is more accurate and overcomes the influence of noise simultaneously.