public void MathematicialSearchPoint_11Test() //Проверка ядер свертки
{
//arrange
MathematicialSearchPoint core = new MathematicialSearchPoint11();
//act
double[,] exepectedGx = new double[, ] {
{ 0, 0, 0, 1, 0, 0, 0 }, { 0, 1, 1, 2, 1, 1, 0 }, { 0, 1, 2, 3, 2, 1, 0 },
{ 1, 2, 3, -44, 3, 2, 1 }, { 0, 0, 0, 1, 0, 0, 0 }, { 0, 1, 1, 2, 1, 1, 0 }, { 0, 1, 2, 3, 2, 1, 0 }
};
double[,] exepectedGy = new double[, ] {
{ 1, 0, 0, 0, 0, 0, 1 }, { 0, 2, 1, 1, 1, 2, 0 }, { 0, 1, 3, 2, 3, 1, 0 },
{ 0, 1, 2, -44, 2, 1, 0 }, { 1, 0, 0, 0, 0, 0, 1 }, { 0, 2, 1, 1, 1, 2, 0 }, { 0, 1, 3, 2, 3, 1, 0 }
};
double[,] actualGx = core.XMatrix;
double[,] actualGy = core.YMatrix;
//assert
Debug.WriteLine("Проверка ядер свертки Gx и Gy");
for (int i = 0; i < 7; i++)
{
for (int j = 0; j < 7; j++)
{
Assert.AreEqual(exepectedGx[i, j], actualGx[i, j]);
Assert.AreEqual(exepectedGy[i, j], actualGy[i, j]);
}
}
}
public void gradientAtPoint11_IntPoint_Test() //Проверка градиента внутренней точки
{
//arrange
IParser parser = new Parser();
Bitmap img = parser.readPNG("Data\\sample_10.png");
MathematicialSearchPoint core = new MathematicialSearchPoint11();
core.setImage(img);
double[,] X = new double[7, 7];
for (int i = 599; i < 606; i++)
{
for (int j = 599; j < 606; j++)
{
X[i - 599, j - 599] = img.GetPixel(i, j).B; //Матрица окружения точки (602,602)
}
}
double gradX = 0;
double gradY = 0;
for (int i = 0; i < 7; i++)
{
for (int j = 0; j < 7; j++)
{
gradX += X[i, j] * core.XMatrix[j, i];
gradY += X[i, j] * core.YMatrix[j, i];
}
}
//act
double exepected = (gradX + gradY) / 2;
double actual = core.gradientAtPoint(602, 602);
//assert
Assert.AreEqual(exepected, actual);
}
public void gradientAtPoint11_CornerPoint_Test() //Проверка градиента угловой точки
{
//arrange
IParser parser = new Parser();
Bitmap img = parser.readPNG("Data\\sample_10.png");
//Blue[i, j] = 0.3 * img.GetPixel(i, j).R + 0.59 * img.GetPixel(i, j).G + 0.11 * img.GetPixel(i, j).B; //Заполнение монохромного изображения
MathematicialSearchPoint core = new MathematicialSearchPoint11();
core.setImage(img);
double[,] X = new double[7, 7];
for (int i = 0; i < 7; i++)
{
for (int j = 0; j < 7; j++)
{
X[i, j] = 0;
}
}
for (int i = 3; i < 7; i++)
{
for (int j = 3; j < 7; j++)
{
X[i, j] = img.GetPixel(i - 3, j - 3).B; //Матрица окружения точки (0,0)
}
}
double gradX = 0;
double gradY = 0;
for (int i = 0; i < 7; i++)
{
for (int j = 0; j < 7; j++)
{
gradX += X[i, j] * core.XMatrix[j, i];
gradY += X[i, j] * core.YMatrix[j, i];
}
}
//act
double exepected = (gradX + gradY) / 2;
double actual = core.gradientAtPoint(0, 0);
//assert
Assert.AreEqual(exepected, actual);
}
public void gradientAtPoint11_BoundaryPoint_Test() //Проверка градиента граничной точки
{
//arrange
IParser parser = new Parser();
Bitmap img = parser.readPNG("Data\\sample_10.png");; //Заполнение монохромного изображения
MathematicialSearchPoint core = new MathematicialSearchPoint11();
core.setImage(img);
double[,] X = new double[7, 7];
for (int i = 0; i < 7; i++)
{
for (int j = 0; j < 7; j++)
{
X[i, j] = 0;
}
}
for (int i = 796; i < 800; i++)
{
for (int j = 0; j < 7; j++)
{
X[i - 796, j] = img.GetPixel(i, j).B; //Матрица окружения точки (799,3)
}
}
double gradX = 0;
double gradY = 0;
for (int i = 0; i < 7; i++)
{
for (int j = 0; j < 7; j++)
{
gradX += X[i, j] * core.XMatrix[j, i];
gradY += X[i, j] * core.YMatrix[j, i];
}
}
//act
double exepected = (gradX + gradY) / 2;
double actual = core.gradientAtPoint(799, 3);
//assert
Assert.AreEqual(exepected, actual);
}
