static void Main(string[] args)
{
var source = new MyImage(args[0]);
var transformation = new BlackAndWhiteTransformation();
var result = transformation.Process(source);
result.WriteToFile(args[1]);
}
public void Should_set_pixel_color_to_black_and_white_when_transforming_an_image()
{
var image = new MyImage(TestImages.ImageWithRowPaddingBytes);
var transformation = new BlackAndWhiteTransformation();
var actual = transformation.Process(image);
Check.That(actual.Pixels).ContainsOnlyElementsThatMatch(pixel => pixel.Red == pixel.Blue && pixel.Red == pixel.Green);
}
public void Should_set_correct_headers_when_transforming_an_image()
{
var image = new MyImage(TestImages.ImageWithRowPaddingBytes);
var transformation = new BlackAndWhiteTransformation();
var actual = transformation.Process(image);
Check.That(actual.ColorDepth).IsEqualTo(24);
Check.That(actual.Size).IsEqualTo(image.Size);
Check.That(actual.Offset).IsEqualTo(image.Offset);
}
public void Should_use_mean_of_colors_when_calculating_black_and_white_pixel_value()
{
var image = new MyImage(TestImages.ImageWithRowPaddingBytes);
var transformation = new BlackAndWhiteTransformation();
var actual = transformation.Process(image);
for (var i = 0; i < image.Pixels.Length; i++)
{
var expectedGrayLevel = (image.Pixels[i].Red + image.Pixels[i].Blue + image.Pixels[i].Green) / 3;
Check.That(actual.Pixels[i].Red).IsEqualTo(expectedGrayLevel);
Check.That(actual.Pixels[i].Blue).IsEqualTo(expectedGrayLevel);
Check.That(actual.Pixels[i].Green).IsEqualTo(expectedGrayLevel);
}
}
