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最小二乘法直线拟合 用VC实现的
- 一个基于VC的最小二乘法直线拟合,很有用哦-a VC-based linear least squares fitting method, useful oh
最小二乘法直线拟合程序
- 此程序为vc程序源代码，而且是多项式拟合程序，具体做法是从一副图上读出离散或连续的点，拟合成直线或曲线。-procedure for vc source code, but is polynomial fitting procedures, the specific approach is a map read out discrete or continuous, straight line or be synthetic curve.
Houghtransformation.rar
- 将霍夫变换与最小二乘法相结合,研究对实验数据和图像处理中的二值边缘图进行直线拟合的方法。 首先,用霍夫变换剔除数据点集中的干扰点或噪声,并将分布在不同直线附近的点分离出来 然后,用最小二乘法 拟合各直线。该方法既解决了直接使用最小二乘法拟合时,拟合直线易受干扰点或噪声的影响和数据点分布在 多条直线附近而无法拟合的两个问题 同时也解决了直接使用霍夫变换时,拟合直线精度不高和直线段有效区间 不容易控制的问题。,The Hough transform and least squares me
NIHE
- 基于VC++的曲线拟合。包括直线拟合，多项式拟合，对数拟合-the line nihe base of VC++
zui_xiao_er_cheng_fa
- 最小二乘法一般是用来拟合直线和一些线性数据的，就是用一条直线来尽可能的表达若干的点的趋势，当然直线穿过所有的点是最好的，但往往有误差存在，所以拟合出的直线要求误差最小.设这些点为(x1,y1),(x2,y2)....(xn,yn).拟合直线为y=kx+b.-Ordinary least squares method is used to fit a straight line and a number of linear data, that is, as far as possible wit
zhixiannihe
- 内容是最小二乘法求拟合直线的C源码，很容易看懂-Is least squares fitting a straight line for the C source code, it is easy to understand
nihecaishangxian
- 用于直线拟合，加之最小二乘回归拟合直线，是本人原创！-For fitting a straight line, in addition to least-squares regression fitting a straight line, is my original!
Write
- 数值计算，最小二乘法直线拟合程序 -Numerical calculation, linear least squares fitting procedure
straightlinefitting
- 用VB实现输入多个实验数据，进而进行直线拟合-The input of experimental data with VB and then fitted to a straight line
spec
- 对两组数据进行最小二乘法拟合并得出拟合直线的斜率-using the least square algorithm to make the regression and get the slope of the line
Least_quare_straight_line_Fit
- c#最小二乘法直线拟合，任意点的数目，求出最佳拟合直线方程并绘制-c# least squares linear fit
bin
- 直线段拟合，将在一定范围内的点拟合到直线段上(The fitting of points within a certain range is on a straight line)
最小二乘法拟合直线程序和软件
- 最小二乘法拟合直线程序，Least square method of fitting linear program(Least square method of fitting linear program)
最小二乘法直线拟合 用VC实现的3
- 最小二乘法拟合直线,通过点云或者三角网格(Least square fitting straight line by point cloud)
直线拟合
- 基于opencv图像处理，对分布的多点进行直线拟合(Opencv image processing based on straight line fitting of multi point distribution)
曲线拟合
- 曲线拟合：通过给定的一组二维坐标点，利用线性代数中矩阵求逆的知识，从这些数据中找出规律性，预测原函数f（x)的表达式，以消除所给数据的局部波动。一次拟合出来的函数图像是直线，二次拟合出来的图像是抛物线。两者相比，二次拟合逼近程度更高。(curve fitting through a given set of two-dimensional coordinates, using the inverse matrix in linear algebra knowledge, find out the
拟合曲线
- 鼠标点击任意两点，两点之间进行直线拟合，继续点击，增加点的数目，多点之间进行多次插值拟合(Mouse click any two points, between two points to a straight line fitting, continue to click, increase the number of points, multiple points between multiple interpolation fitting)
实现直线识别_拟合角平分线
- 最近在学习matlab所以上传了较多关于matlab的代码，如果有学数值计算的同学，这里面是线性拟合与直线识别的相关内容(Recently, in learning Matlab, I uploaded more code about MATLAB. If there are students who learn numerical calculation, it is related to linear fitting and line recognition.)
最小二乘法分段直线拟合
- 曲线拟合是图像分析中非常重要的描述符号。最常用的曲线拟合方法是最小二乘法,然而一般的最小二乘法有一定的局限性,已经有不少学者对其进行了一些改进。进一步对最小二乘法进行改进,提出一种新的分段直线拟合算法来代替多项式曲线拟合,以达到简化数学模型的建立和减少计算的目的,使其能够更好地对点序列进行拟合。(Curve fitting is a very important descr iptor in image analysis,the most commonly used curve fitting
Ransac拟合直线和圆
- C# 实现直线拟合，圆拟合 ransac算法，剔除忽略点(C# realizes line fitting and circle fitting with ransac algorithm to eliminate the ignored points)