public void calculate_entropyTest()
{
Bitmap image = new Bitmap(3, 1);
StatistikModel_Accessor target = new StatistikModel_Accessor(image);
double expected = 0F;
double actual;
actual = target.calculate_entropy();
Assert.AreEqual(expected, actual);
}
public void prepare_histogram_dataTest()
{
Bitmap bitmap = new Bitmap(3, 1);
StatistikModel_Accessor target = new StatistikModel_Accessor(bitmap);
target.entropy = 1234.34;
Assert.AreEqual(1234.34, target.get_entropy());
target.prepare_histogram_data();
Assert.IsNotNull(target.get_entropy());
}
public void calculate_varianceTest()
{
Bitmap image = new Bitmap(3, 1);
StatistikModel_Accessor target = new StatistikModel_Accessor(image);
double expected = 0F;
double actual;
actual = target.calculate_variance();
Assert.AreEqual(expected, actual);
}
public void calculate_averageTest()
{
Bitmap image = new Bitmap(3, 1);
StatistikModel_Accessor target = new StatistikModel_Accessor(image); // TODO: Passenden Wert initialisieren
int sum_grey_values = 9;
int expected = 3;
int actual;
actual = target.calculate_average(sum_grey_values);
Assert.AreEqual(expected, actual);
}
public void calculate_averageTest()
{
Bitmap image = new Bitmap(3, 1);
StatistikModel_Accessor target = new StatistikModel_Accessor(image); // TODO: Passenden Wert initialisieren
int sum_grey_values = 9;
int expected = 3;
int actual;
actual = target.calculate_average(sum_grey_values);
Assert.AreEqual(expected, actual);
}
public void StatistikModelConstructorTest()
{
Image image = new Bitmap(1, 1);
// StatistikModel target = new StatistikModel(image);
StatistikModel_Accessor target = new StatistikModel_Accessor(image);
// target.bitmap
Assert.IsInstanceOfType(target.bitmap, typeof(Bitmap));
Assert.IsNotNull(target.bitmap);
Image image2 = null;
// StatistikModel target = new StatistikModel(image);
StatistikModel_Accessor target2 = new StatistikModel_Accessor(image2);
// target.bitmap
Assert.IsNotInstanceOfType(target2.bitmap, typeof(Bitmap));
Assert.IsNull(target2.bitmap);
}
public void calculate_peakTest()
{
Bitmap image = new Bitmap(3, 1);
StatistikModel_Accessor target = new StatistikModel_Accessor(image);
int histo = 3;
int peak = 100;
int expected = 100;
int actual;
actual = target.calculate_peak(histo, peak);
Assert.AreEqual(expected, actual);
histo = 100;
peak = 3;
expected = 100;
actual = target.calculate_peak(histo, peak);
Assert.AreEqual(expected, actual);
}
public void calculate_peakTest()
{
Bitmap image = new Bitmap(3, 1);
StatistikModel_Accessor target = new StatistikModel_Accessor(image);
int histo = 3;
int peak = 100;
int expected = 100;
int actual;
actual = target.calculate_peak(histo, peak);
Assert.AreEqual(expected, actual);
histo = 100;
peak = 3;
expected = 100;
actual = target.calculate_peak(histo, peak);
Assert.AreEqual(expected, actual);
}
public void StatistikModelConstructorTest()
{
Image image = new Bitmap(1,1);
// StatistikModel target = new StatistikModel(image);
StatistikModel_Accessor target = new StatistikModel_Accessor(image);
// target.bitmap
Assert.IsInstanceOfType(target.bitmap, typeof(Bitmap));
Assert.IsNotNull(target.bitmap);
Image image2 = null;
// StatistikModel target = new StatistikModel(image);
StatistikModel_Accessor target2 = new StatistikModel_Accessor(image2);
// target.bitmap
Assert.IsNotInstanceOfType(target2.bitmap, typeof(Bitmap));
Assert.IsNull(target2.bitmap);
}
public void prepare_histogram_dataTest()
{
Bitmap bitmap = new Bitmap(3, 1);
StatistikModel_Accessor target = new StatistikModel_Accessor(bitmap);
target.entropy = 1234.34;
Assert.AreEqual( 1234.34, target.get_entropy());
target.prepare_histogram_data();
Assert.IsNotNull(target.get_entropy());
}
