public void TestHistogramNodeValue()
{
// Generates an array of 1 Frame with randomly filled Data
YuvKA.VideoModel.Size testSize = new YuvKA.VideoModel.Size(5, 5);
Frame[] inputs = { new Frame(testSize) };
for (int x = 0; x < testSize.Width; x++) {
for (int y = 0; y < testSize.Height; y++) {
inputs[0][x, y] = new Rgb((byte)(x + y), (byte)(x + y), (byte)(x + y));
}
}
// Generate Value HistogramNode once
HistogramNode histNodeValue = new HistogramNode();
histNodeValue.Type = HistogramType.Value;
histNodeValue.Process(inputs, 0);
// Calculate expected results independently from Histogram method.
Color rgbValue;
int value;
int[] intData = new int[256];
for (int x = 0; x < inputs[0].Size.Width; x++) {
for (int y = 0; y < inputs[0].Size.Height; y++) {
rgbValue = Color.FromArgb(inputs[0][x, y].R, inputs[0][x, y].G, inputs[0][x, y].B);
value = (int)(rgbValue.GetBrightness() * 255);
intData[value]++;
}
}
int numberOfPixels = inputs[0].Size.Height * inputs[0].Size.Width;
for (int i = 0; i < 256; i++) {
Assert.Equal(histNodeValue.Data[i], (double)intData[i] / numberOfPixels);
}
}
/// <summary>
/// Creates a new HistogramViewMode with the given HistogramNode.
/// </summary>
public HistogramViewModel(HistogramNode nodeModel)
: base(nodeModel, null)
{
}
public void TestHistogramNodeRGB()
{
// Generates an array of 1 Frame with randomly filled Data
YuvKA.VideoModel.Size testSize = new YuvKA.VideoModel.Size(5, 5);
Frame[] inputs = { new Frame(testSize) };
for (int x = 0; x < testSize.Width; x++) {
for (int y = 0; y < testSize.Height; y++) {
inputs[0][x, y] = new Rgb((byte)(x + y), (byte)(x + y), (byte)(x + y));
}
}
// Generate all RGB HistogramNode once
HistogramNode histNodeR = new HistogramNode();
histNodeR.Type = HistogramType.R;
HistogramNode histNodeG = new HistogramNode();
histNodeG.Type = HistogramType.G;
HistogramNode histNodeB = new HistogramNode();
histNodeB.Type = HistogramType.B;
histNodeR.Process(inputs, 0);
histNodeG.Process(inputs, 0);
histNodeB.Process(inputs, 0);
// Calculate expected results independently from Histogram methods.
int[] value = new int[3];
int[,] intData = new int[256, 3];
for (int x = 0; x < inputs[0].Size.Width; x++) {
for (int y = 0; y < inputs[0].Size.Height; y++) {
value[0] = inputs[0][x, y].R;
value[1] = inputs[0][x, y].G;
value[2] = inputs[0][x, y].B;
intData[value[0], 0]++;
intData[value[1], 1]++;
intData[value[2], 2]++;
}
}
int numberOfPixels = inputs[0].Size.Height * inputs[0].Size.Width;
for (int i = 0; i < 256; i++) {
Assert.Equal(histNodeR.Data[i], (double)intData[i, 0] / numberOfPixels);
Assert.Equal(histNodeG.Data[i], (double)intData[i, 1] / numberOfPixels);
Assert.Equal(histNodeB.Data[i], (double)intData[i, 2] / numberOfPixels);
}
}
