public void gradientAtPoint7_IntPoint_Test() //Проверка градиента внутренней точки { //arrange IParser parser = new Parser(); Bitmap img = parser.readPNG("Data\\sample_10.png"); MathematicialSearchPoint core = new MathematicialSearchPoint7(); 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 = Math.Sqrt(gradX * gradX + gradY * gradY); double actual = core.gradientAtPoint(602, 602); //assert Assert.AreEqual(exepected, actual); }
public void gradientAtPoint7_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 MathematicialSearchPoint7(); 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 = Math.Sqrt(gradX * gradX + gradY * gradY); double actual = core.gradientAtPoint(0, 0); //assert Assert.AreEqual(exepected, actual); }