public void Symmetric_ReturnsSameSizeArray()
{
int width = 5;
int height = 200;
float[,] map = new float[width, height];
float[,] blurredMap = Convolution.Symmetric(map, new float[1]);
Assert.AreEqual(map.GetLength(0), blurredMap.GetLength(0));
Assert.AreEqual(map.GetLength(1), blurredMap.GetLength(1));
}
public void Symmetric_5x1SampleBlurringIsCorrect()
{
float[,] map = new float[, ]
{
{ 0, 0, 1, 0, 0 }
};
float[] kernel = StandardDeviation.GetKernel(0.5f);
float[,] blurredMap = Convolution.Symmetric(map, kernel);
Assert.AreEqual(0.0002075485f, blurredMap[0, 0], floatPrecision);
Assert.AreEqual(0.08373106f, blurredMap[0, 1], floatPrecision);
Assert.AreEqual(0.6186935f, blurredMap[0, 2], floatPrecision);
Assert.AreEqual(0.08373106f, blurredMap[0, 3], floatPrecision);
Assert.AreEqual(0.0002075485f, blurredMap[0, 4], floatPrecision);
}
public void Symmetric_EvenKernelLengthThrowsException()
{
float[] kernel = new float[] { 0, 0 };
Assert.Throws <ArgumentException>(() => Convolution.Symmetric(new float[0, 0], kernel));
}
