基于小波分析的直线拟合及应用

Based on wavelet analysis and application of linear fitting

直线是图像分析中非常重要的描述符号。对工业控制中的现象进行图像处理时通常用到最小二乘法对直线拟合。对于估计精度要求较高的情形,传统最小二乘法往往不能满足要求。基于此,本文将离散小波变换和传统最小二乘法相结合,建立了一种基于小波测量预处理的最小二乘估计的新型解法,获得了比传统最小二乘法好得多的估计结果,实验证明了该方法的有效性及高精度性。

Image analysis in the line is very important descriptor.The phenomenon of industrial control is usually used for image processing on the linear least squares fitting.Estimated with high precision for the case,the traditional least square method often can not meet the requirements.Based on this,the discrete wavelet transform and the traditional least squares method,an algorithm based on least squares estimation of wavelet pretreatment measurement of the new method,obtained much better than the traditional least squares estimation results of experiments show the validity of the method and accuracy of.