public void ToBitmapTest1()
{
double[][] pixels =
{
new double[] { 0, 0, 0 }, new double[] { 0, 0, 1 }, new double[] { 0, 1, 0 },
new double[] { 0, 1, 1 }, new double[] { 1, 0, 0 }, new double[] { 1, 0, 1 },
new double[] { 1, 1, 0 }, new double[] { 1, 1, 1 }, new double[] { 0, 0.5, 0 },
};
int width = 3;
int height = 3;
double min = 0;
double max = 1;
Bitmap actual = Tools.ToBitmap(pixels, width, height, min, max);
// Accord.Controls.ImageBox.Show(actual, PictureBoxSizeMode.Zoom);
Assert.AreEqual(Color.FromArgb(000, 000, 000), actual.GetPixel(0, 0));
Assert.AreEqual(Color.FromArgb(000, 000, 255), actual.GetPixel(1, 0));
Assert.AreEqual(Color.FromArgb(000, 255, 000), actual.GetPixel(2, 0));
Assert.AreEqual(Color.FromArgb(000, 255, 255), actual.GetPixel(0, 1));
Assert.AreEqual(Color.FromArgb(255, 000, 000), actual.GetPixel(1, 1));
Assert.AreEqual(Color.FromArgb(255, 000, 255), actual.GetPixel(2, 1));
Assert.AreEqual(Color.FromArgb(255, 255, 000), actual.GetPixel(0, 2));
Assert.AreEqual(Color.FromArgb(255, 255, 255), actual.GetPixel(1, 2));
Assert.AreEqual(Color.FromArgb(000, 127, 000), actual.GetPixel(2, 2));
double[][] actualArray = actual.ToDoubleArray(min, max);
Assert.IsTrue(Matrix.IsEqual(pixels, actualArray, 0.01));
}
public void StandardDeviationTest()
{
double[] values = { 5, 2, 7, 5, 3, 5, 1, 1, 2 };
Bitmap image; new ArrayToImage(3, 3, 0, 255).Convert(values, out image);
double mean = Measures.Mean(values);
double expected = Measures.StandardDeviation(values);
double actual = Tools.StandardDeviation(image, mean);
Assert.AreEqual(expected, actual);
}
public void StandardDeviationTest()
{
double[] values = { 5, 2, 7, 5, 3, 5, 1, 1, 2 };
Bitmap image = values.ToBitmap(3, 3, 0, 255);
double mean = Measures.Mean(values);
double expected = Measures.StandardDeviation(values);
double actual = Tools.StandardDeviation(image, mean);
Assert.AreEqual(expected, actual);
}
public void StandardDeviationTest2()
{
short[,] values =
{
{ 5, 2, 7 },
{ 5, 3, 5 },
{ 1, 1, 2 }
};
Bitmap image = values.ToBitmap();
double mean = Measures.Mean(values.Reshape().ToDouble());
double expected = Measures.StandardDeviation(values.Reshape().ToDouble());
double actual = Tools.StandardDeviation(image, mean);
Assert.AreEqual(expected, actual);
}
public void SumTest()
{
Bitmap image = Accord.Imaging.Image.Clone(Resources.image1);
int expected = 0;
for (int i = 0; i < 16; i++)
{
for (int j = 0; j < 16; j++)
{
expected += image.GetPixel(i, j).R;
}
}
int actual = (int)Tools.Sum(image);
Assert.AreEqual(expected, actual);
}
public void SumTest2()
{
Bitmap image = Accord.Imaging.Image.Clone(Resources.image2);
int expected = 0;
for (int i = 3; i < 9; i++)
{
for (int j = 2; j < 10; j++)
{
expected += image.GetPixel(i, j).R;
}
}
int actual = (int)Tools.Sum(image, new Rectangle(3, 2, 9 - 3, 10 - 2));
Assert.AreEqual(expected, actual);
}
public void StandardDeviationTest3()
{
short[,] values =
{
{ 5, 2, 7 },
{ 5, 3, 5 },
{ 1, 1, 2 }
};
Rectangle rect = new Rectangle(1, 1, 2, 1);
Bitmap image = values.ToBitmap();
double mean = Measures.Mean(new double[] { 3, 5 });
double expected = Measures.StandardDeviation(new double[] { 3, 5 });
double actual = Tools.StandardDeviation(image, rect, mean);
Assert.AreEqual(expected, actual);
}
public void ColinearTest1()
{
bool actual;
PointF pt1, pt2, pt3;
pt1 = new PointF(0, 0);
pt2 = new PointF(1, 1);
pt3 = new PointF(2, 2);
actual = Tools.Collinear(pt1, pt2, pt3);
Assert.AreEqual(true, actual);
pt1 = new PointH(0, 1);
pt2 = new PointH(1, 1);
pt3 = new PointH(2, 2);
actual = Tools.Collinear(pt1, pt2, pt3);
Assert.AreEqual(false, actual);
}
public void ToDoubleArrayTest()
{
Bitmap image = Accord.Imaging.Image.Clone(Properties.Resources.image1);
double[] actual = Tools.ToDoubleArray(image, 0, 0, 1);
for (int i = 0; i < 256; i++)
{
if (i == 2 * 16 + 2 || i == 2 * 16 + 13 ||
i == 13 * 16 + 2 || i == 13 * 16 + 13)
{
Assert.AreEqual(0, actual[i]);
}
else
{
Assert.AreNotEqual(0, actual[i]);
}
}
}
public void MinTest2()
{
Bitmap image = new byte[, ]
{
{ 5, 2, 7 },
{ 5, 3, 5 },
{ 9, 1, 2 }
}.ToBitmap();
{
Rectangle rectangle = new Rectangle(1, 0, 2, 2);
int expected = 2;
int actual = Tools.Min(image, rectangle);
Assert.AreEqual(expected, actual);
}
{
int expected = 1;
int actual = Tools.Min(image);
Assert.AreEqual(expected, actual);
}
}
public void MeanTest3()
{
UnmanagedImage image = UnmanagedImage.FromManagedImage(new byte[, ]
{
{ 1, 2, 3 },
{ 4, 5, 6 },
{ 7, 8, 9 },
}.ToBitmap());
{
Rectangle rectangle = new Rectangle(0, 0, 1, 2);
double expected = (1 + 4) / 2.0;
double actual = Tools.Mean(image, rectangle);
Assert.AreEqual(expected, actual);
}
{
double expected = (1 + 2 + 3 + 4 + 5 + 6 + 7 + 8 + 9) / 9.0;
double actual = Tools.Mean(image);
Assert.AreEqual(expected, actual);
}
}
public void ColinearTest()
{
bool actual;
PointH p1 = new PointH(0, 1);
PointH p2 = new PointH(0, 2);
PointH p3 = new PointH(0, 3);
bool expected = true;
actual = Tools.Collinear(p1, p2, p3);
Assert.AreEqual(expected, actual);
p1 = new PointH(0, 1);
p2 = new PointH(1, 0);
p3 = new PointH(1, 1);
expected = false;
actual = Tools.Collinear(p1, p2, p3);
Assert.AreEqual(expected, actual);
}
public void NormalizeTest()
{
PointH[] points = new PointH[]
{
new PointH(1, 2),
new PointH(5, 2),
new PointH(12, 2),
new PointH(1, 2),
new PointH(10, 2),
};
MatrixH T;
PointH[] actual = Tools.Normalize(points, out T);
// Centroids should be at the origin
double cx = 0, cy = 0;
for (int i = 0; i < actual.Length; i++)
{
cx += actual[i].X / actual[i].W;
cy += actual[i].Y / actual[i].W;
}
Assert.AreEqual(cx / actual.Length, 0, 0.0000001);
Assert.AreEqual(cy / actual.Length, 0, 0.0000001);
// Average distance from the origin should be sqrt(2)
double d = 0;
for (int i = 0; i < actual.Length; i++)
{
double x = actual[i].X / actual[i].W;
double y = actual[i].Y / actual[i].W;
d += System.Math.Sqrt(x * x + y * y);
}
Assert.AreEqual(d / actual.Length, System.Math.Sqrt(2), 0.00001);
}
public void MeanTest2()
{
// Test for 16 bpp images
Bitmap image = new short[, ]
{
{ 1, 2, 3 },
{ 4, 5, 6 },
{ 7, 8, 9 },
}.ToBitmap();
{
Rectangle rectangle = new Rectangle(0, 0, 1, 2);
double expected = (1 + 4) / 2.0;
double actual = Tools.Mean(image, rectangle);
Assert.AreEqual(expected, actual);
}
{
double expected = (1 + 2 + 3 + 4 + 5 + 6 + 7 + 8 + 9) / 9.0;
double actual = Tools.Mean(image);
Assert.AreEqual(expected, actual);
}
}
public void SumTest1()
{
Bitmap image = Accord.Imaging.Image.Clone(Resources.image2);
int expected = 0;
for (int i = 3; i < 9; i++)
{
for (int j = 2; j < 10; j++)
{
expected += image.GetPixel(i, j).R;
}
}
BitmapData data = image.LockBits(new Rectangle(System.Drawing.Point.Empty, image.Size),
ImageLockMode.ReadOnly, image.PixelFormat);
int actual = Tools.Sum(data, new Rectangle(3, 2, 9 - 3, 10 - 2));
Assert.AreEqual(expected, actual);
image.UnlockBits(data);
}
public void MeanTest()
{
Bitmap image;
new MatrixToImage().Convert(new byte[, ]
{
{ 1, 2, 3 },
{ 4, 5, 6 },
{ 7, 8, 9 },
}, out image);
{
Rectangle rectangle = new Rectangle(0, 0, 1, 2);
double expected = (1 + 4) / 2.0;
double actual = Tools.Mean(image, rectangle);
Assert.AreEqual(expected, actual);
}
{
double expected = (1 + 2 + 3 + 4 + 5 + 6 + 7 + 8 + 9) / 9.0;
double actual = Tools.Mean(image);
Assert.AreEqual(expected, actual);
}
}
public void HomographyTest()
{
PointH[] x1 =
{
new PointH(0, 0),
new PointH(1, 0),
new PointH(0, 1),
new PointH(1, 1),
};
PointH[] x2 =
{
new PointH(0, 0),
new PointH(1, 0),
new PointH(0, 1),
new PointH(1, 1),
};
double[,] expected = Matrix.Identity(3);
double[,] actual = (double[, ])Tools.Homography(x1, x2);
for (int i = 0; i < 3; i++)
{
for (int j = 0; j < 3; j++)
{
actual[i, j] /= actual[2, 2];
}
}
Assert.IsTrue(Matrix.IsEqual(expected, actual, 1e-4));
x1 = new PointH[]
{
new PointH(2, 0),
new PointH(1, 0),
new PointH(5, 1),
new PointH(1, 1),
new PointH(7, 1),
new PointH(1, 2),
new PointH(1, 1),
};
x2 = new PointH[]
{
new PointH(9, 1),
new PointH(1, 5),
new PointH(9, 1),
new PointH(1, 7),
new PointH(2, 7),
new PointH(6, 5),
new PointH(1, 7),
};
expected = new double[, ]
{
{ 0.2225, -3.1727, 1.8023 },
{ 0.3648, -1.7149, -0.2173 },
{ 0.0607, -0.4562, 0.1229 },
};
expected = (double[, ])(new MatrixH(expected));
actual = (double[, ])Tools.Homography(x1, x2);
Assert.IsTrue(Matrix.IsEqual(expected, actual, 0.01));
}
public void HomographyTestF()
{
PointF[] x1 =
{
new PointF(0, 0),
new PointF(1, 0),
new PointF(0, 1),
new PointF(1, 1),
};
PointF[] x2 =
{
new PointF(0, 0),
new PointF(1, 0),
new PointF(0, 1),
new PointF(1, 1),
};
float[,] expected = Matrix.Identity(3).ToSingle();
float[,] actual = (float[, ])Tools.Homography(x1, x2);
for (int i = 0; i < 3; i++)
{
for (int j = 0; j < 3; j++)
{
actual[i, j] /= actual[2, 2];
}
}
Assert.IsTrue(Matrix.IsEqual(expected, actual, 1e-5f));
x1 = new PointF[]
{
new PointF(2, 0),
new PointF(1, 0),
new PointF(5, 1),
new PointF(1, 1),
new PointF(7, 1),
new PointF(1, 2),
new PointF(1, 1),
};
x2 = new PointF[]
{
new PointF(9, 1),
new PointF(1, 5),
new PointF(9, 1),
new PointF(1, 7),
new PointF(2, 7),
new PointF(6, 5),
new PointF(1, 7),
};
expected = new float[, ]
{
{ 0.2225f, -3.1727f, 1.8023f },
{ 0.3648f, -1.7149f, -0.2173f },
{ 0.0607f, -0.4562f, 0.1229f },
};
expected = (float[, ])(new MatrixH(expected));
actual = (float[, ])Tools.Homography(x1, x2);
Assert.IsTrue(Matrix.IsEqual(expected, actual, 0.01f));
}
