public void MathematicialSearchPoint_2Test() //Проверка ядер свертки { //arrange MathematicialSearchPoint core = new MathematicialSearchPoint2(); //act double[,] exepectedGx = new double[, ] { { -1, 0, 1 }, { -2, 0, 2 }, { -1, 0, 1 } }; double[,] exepectedGy = new double[, ] { { -1, -2, -1 }, { 0, 0, 0 }, { 1, 2, 1 } }; double[,] actualGx = core.XMatrix; double[,] actualGy = core.YMatrix; //assert Debug.WriteLine("Проверка ядер свертки Gx и Gy"); for (int i = 0; i < 3; i++) { for (int j = 0; j < 3; j++) { Assert.AreEqual(exepectedGx[i, j], actualGx[i, j]); Assert.AreEqual(exepectedGy[i, j], actualGy[i, j]); } } }
public void gradientAtPoint2_IntPoint_Test() //Проверка градиента внутренней точки { //arrange IParser parser = new Parser(); Bitmap img = parser.readPNG("Data\\sample_10.png"); MathematicialSearchPoint core = new MathematicialSearchPoint2(); core.setImage(img); double[,] X = new double[3, 3]; for (int i = 600; i < 603; i++) { for (int j = 600; j < 603; j++) { X[i - 600, j - 600] = img.GetPixel(i, j).B; //Матрица окружения точки (601,601) } } double gradX = 0; double gradY = 0; for (int i = 0; i < 3; i++) { for (int j = 0; j < 3; j++) { gradX += X[i, j] * core.XMatrix[j, i]; gradY += X[i, j] * core.YMatrix[j, i]; } } //act double exepected = Math.Sqrt(gradX * gradX + gradY * gradY); double actual = core.gradientAtPoint(601, 601); //assert Assert.AreEqual(exepected, actual); }
public void gradientAtPoint2_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 MathematicialSearchPoint2(); core.setImage(img); double[,] X = new double[3, 3]; for (int i = 0; i < 3; i++) { for (int j = 0; j < 3; j++) { X[i, j] = 0; } } for (int i = 1; i < 3; i++) { for (int j = 1; j < 3; j++) { X[i, j] = img.GetPixel(i - 1, j - 1).B; //Матрица окружения точки (0,0) } } double gradX = 0; double gradY = 0; for (int i = 0; i < 3; i++) { for (int j = 0; j < 3; j++) { gradX += X[i, j] * core.XMatrix[j, i]; gradY += X[i, j] * core.YMatrix[j, i]; } } //act double exepected = Math.Sqrt(gradX * gradX + gradY * gradY); double actual = core.gradientAtPoint(0, 0); //assert Assert.AreEqual(exepected, actual); }
public void gradientAtPoint2_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 MathematicialSearchPoint2(); core.setImage(img); double[,] X = new double[3, 3]; for (int i = 0; i < 3; i++) { for (int j = 0; j < 3; j++) { X[i, j] = 0; } } for (int i = 798; i < 800; i++) { for (int j = 2; j < 5; j++) { X[i - 798, j - 2] = img.GetPixel(i, j).B; //Матрица окружения точки (799,3) } } double gradX = 0; double gradY = 0; for (int i = 0; i < 3; i++) { for (int j = 0; j < 3; j++) { gradX += X[i, j] * core.XMatrix[j, i]; gradY += X[i, j] * core.YMatrix[j, i]; } } //act double exepected = Math.Sqrt(gradX * gradX + gradY * gradY); double actual = core.gradientAtPoint(799, 3); //assert Assert.AreEqual(exepected, actual); }