public void ShrinksImagesToHalfItsSize()
{
var sampleImage = BinaryImage.FromByteArray(
new byte[, ]
{
{ 0, 0, 0, 0, 0, 0 },
{ 0, 1, 1, 1, 1, 0 },
{ 0, 1, 1, 1, 1, 0 },
{ 0, 1, 1, 1, 1, 0 },
{ 0, 1, 1, 1, 1, 0 },
{ 0, 0, 0, 0, 0, 0 },
});
var expected = BinaryImage.FromByteArray(
new byte[, ]
{
{ 0, 0, 0 },
{ 0, 1, 0 },
{ 0, 0, 0 },
});
var result = Shrinker.ShrinkByHalf(sampleImage);
result.Should().Be(expected,
$"result:\r\n{result.ToMatrixString()}\r\n should be as expected:\r\n{expected.ToMatrixString()}");
}
public void AppliesThinningOnImage()
{
var structuringElement = new StructuringElement(
new[, ]
{
{ 0, 0, -1 },
{ 1, 1, -1 },
{ -1, -1, -1 }
});
var inputImage = BinaryImage.FromByteArray(
new byte[, ]
{
{ 0, 0, 0 },
{ 1, 1, 1 },
{ 1, 1, 1 }
});
var expected = BinaryImage.FromByteArray(
new byte[, ]
{
{ 0, 0, 0 },
{ 1, 0, 0 },
{ 1, 1, 1 }
});
var structuringElements = new[] { structuringElement };
var result = Thinner.Thinning(inputImage, structuringElements);
result.Should().Be(
expected,
$"result:\r\n{result.ToMatrixString()}\r\n should be as expected:\r\n{expected.ToMatrixString()}");
}
public void InterpretsMatrixCoordinatesCorrectly()
{
var sampleImage = BinaryImage.FromByteArray(
new byte[, ]
{
{ 0, 1, 0 },
{ 1, 0, 1 },
{ 1, 0, 0 }
});
// first row
int m = 0;
sampleImage[m, 0].Should().Be(BinaryImage.White);
sampleImage[m, 1].Should().Be(BinaryImage.Black);
sampleImage[m, 2].Should().Be(BinaryImage.White);
// second row: m=1
m = 1;
sampleImage[m, 0].Should().Be(BinaryImage.Black);
sampleImage[m, 1].Should().Be(BinaryImage.White);
sampleImage[m, 2].Should().Be(BinaryImage.Black);
// third row: m=2
m = 2;
sampleImage[m, 0].Should().Be(BinaryImage.Black);
sampleImage[m, 1].Should().Be(BinaryImage.White);
sampleImage[m, 2].Should().Be(BinaryImage.White);
}
public void ClonesImages()
{
var firstImage = BinaryImage.FromByteArray(
new byte[, ]
{
{ 0, 0, 0 },
{ 1, 1, 0 },
{ 0, 0, 1 }
});
var secondImage = firstImage.Clone();
firstImage.Should().Be(secondImage);
}
public void WritesImageToMatrixString()
{
const string Expected = "010\r\n110\r\n001";
var sampleImage = BinaryImage.FromByteArray(
new byte[, ]
{
{ 0, 1, 0 },
{ 1, 1, 0 },
{ 0, 0, 1 }
});
string result = sampleImage.ToMatrixString();
result.Should().Be(Expected);
}
public void GetNeighborMatrixFromPosition()
{
var sampleImage = BinaryImage.FromByteArray(
new byte[, ]
{
{ 0, 0, 0, 0, 0, 0 },
{ 0, 1, 1, 1, 1, 0 },
{ 0, 1, 1, 1, 1, 0 },
{ 0, 1, 1, 1, 1, 0 },
{ 0, 1, 1, 1, 1, 0 },
{ 0, 0, 0, 0, 0, 0 },
});
sampleImage.GetNeighborMatrixFromPosition(0, 0, 2).ToString().Should().Be("00\r\n01");
sampleImage.GetNeighborMatrixFromPosition(1, 0, 2).ToString().Should().Be("01\r\n01");
sampleImage.GetNeighborMatrixFromPosition(0, 1, 2).ToString().Should().Be("00\r\n11");
sampleImage.GetNeighborMatrixFromPosition(1, 1, 2).ToString().Should().Be("11\r\n11");
}
public void ComparesTwoImages()
{
var firstImage = BinaryImage.FromByteArray(
new byte[, ]
{
{ 0, 0, 0 },
{ 0, 1, 0 },
{ 0, 0, 0 }
});
var secondImage = BinaryImage.FromByteArray(
new byte[, ]
{
{ 0, 0, 0 },
{ 0, 1, 0 },
{ 0, 0, 0 }
});
firstImage.Should().Be(secondImage);
}
public void CropsLargeImages()
{
var sampleImage = BinaryImage.FromByteArray(
new byte[, ]
{
{ 0, 0, 0, 0, 0, 0, 0, 0, 0 },
{ 0, 0, 0, 0, 0, 0, 0, 0, 0 },
{ 0, 0, 0, 0, 0, 0, 0, 0, 0 },
{ 0, 0, 0, 0, 0, 1, 1, 0, 0 },
{ 0, 0, 0, 0, 1, 1, 1, 0, 0 },
{ 0, 0, 0, 1, 1, 1, 1, 0, 0 },
{ 0, 0, 0, 0, 1, 1, 1, 0, 0 },
{ 0, 0, 0, 0, 0, 1, 1, 0, 0 },
{ 0, 0, 0, 0, 0, 0, 0, 0, 0 },
{ 0, 0, 0, 0, 0, 0, 0, 0, 0 },
{ 0, 0, 0, 0, 0, 0, 0, 0, 0 }
});
var expected = BinaryImage.FromByteArray(
new byte[, ]
{
{ 0, 0, 0, 0, 0, 0, 0, 0 },
{ 0, 0, 0, 0, 0, 0, 0, 0 },
{ 0, 0, 0, 0, 1, 1, 0, 0 },
{ 0, 0, 0, 1, 1, 1, 0, 0 },
{ 0, 0, 1, 1, 1, 1, 0, 0 },
{ 0, 0, 0, 1, 1, 1, 0, 0 },
{ 0, 0, 0, 0, 1, 1, 0, 0 },
{ 0, 0, 0, 0, 0, 0, 0, 0 },
{ 0, 0, 0, 0, 0, 0, 0, 0 }
});
var result = Cropper.CropAroundFigures(sampleImage);
result.Should().Be(expected);
}
