MathNet进行多元线性拟合
MathNet进行多元线性拟合 string path = System.Windows.Forms.Application.StartupPath + @"/" + "F18.JPG";Mat Image = new Mat(path, ImreadModes.Grayscale);
int image_Width = Image.Width;
int image_Height = Image.Height;
// 二元二次拟合
//Linear model Poly22: f(x,y) = p00 + p10*x + p01*y + p20*x^2 + p11*x*y + p02*y^2
double[,] XAll = new double;
double[] YAll = new double;
int Count = 0;
for (int i = 0; i < Image.Height; i++)
{
for (int j = 0; j < Image.Width; j++)
{
//Ver3b RGB = Image.At<Ver3b>(i, j);
//int grayvalue = Convert.ToInt32((RGB + RGB + RGB) / 3.0);
int grayvalue = 128;
double X = Convert.ToDouble(i);
double Y = Convert.ToDouble(j);
XAll = 1;
XAll = X;
XAll = Y;
XAll = X * X;
XAll = X * Y;
XAll = Y * Y;
YAll = grayvalue;
Count = Count + 1;
}
}
///////////////////////////MathNet///////////////////////////////
var formatProvider = (CultureInfo)CultureInfo.InvariantCulture.Clone();
formatProvider.TextInfo.ListSeparator = " ";
//// Create matrix "A" with coefficients
//var matrixA = DenseMatrix.OfArray(XAll);
//// Create vector "b" with the constant terms.
//var vectorB = new DenseVector(YAll);
//// 2. Solve linear equations using QR decomposition
//var resultX = matrixA.QR().Solve(vectorB);
//// 5. Verify result. Multiply coefficient matrix "A" by result vector "x"
//var reconstructVecorB = matrixA * resultX;
var reconstructVecorB = new double;
//////////////////////////////////////////////////////////
Mat src = new Mat(Image.Height, Image.Width, MatType.CV_32FC1, Scalar.Black);
Count = 0;
for (int i = 0; i < Image.Height; i++)
{
for (int j = 0; j < Image.Width; j++)
{
src.SetArray(i, j, (float)reconstructVecorB);
Count = Count + 1;
}
}
double minV = 0.0, maxV = 0.0;
src.MinMaxLoc(out minV, out maxV);
Mat srcU8 = new Mat(Image.Height, Image.Width, MatType.CV_8UC1, Scalar.Black);
src.ConvertTo(srcU8, MatType.CV_8UC1);
//src.ConvertTo(srcU8, MatType.CV_8UC1, 255.0 / (maxV - minV + 0.00001), -255.0 * minV / (maxV - minV + 0.00001));
Cv2.ImWrite("1.jpg", srcU8);
this.pictureBox1.Image = C_lmage.MatToBitmap(srcU8);
参考：
【1】https://blog.csdn.net/weixin_30687587/article/details/96729032
【2】https://blog.csdn.net/c914620529/article/details/50393223/
【3】https://vimsky.com/examples/deta ... ultiply-method.html
【4】https://stackoverflow.com/questi ... gression-in-c-sharp
【5】【目录】开源Math.NET基础数学类库使用总目录 https://www.cnblogs.com/asxinyu/p/Bolg_Category_For_MathNet.html
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