public void TestGrayFilter24()
{
BMPImage image = new BMPImage("../../../TestFiles/input24.bmp");
GrayFilter.Gray(image);
image.WriteToFile("../../../TestFiles/output.bmp");
FileAssert.AreEqual("../../../TestFiles/output.bmp", "../../../TestFiles/Gray24.bmp");
Assert.Pass();
}
public static bool ApplyFilter(BitMapReading input, string filterName, string output)
{
uint width = input.Width;
uint height = input.Height;
int channels = input.BitsPerPixel / 8;
byte[][] image = input.Image;
byte[][] filteredImage;
switch (filterName)
{
case "GRAY":
filteredImage = GrayFilter.ApplyFilter(width, height, channels, image);
break;
case "MEDIAN":
filteredImage = MedianFilter.ApplyFilter(width, height, channels, image);
break;
case "GAUSS":
filteredImage = ConvolutionFilters.GaussFilter(width, height, channels, image);
break;
case "SOBELX":
filteredImage = ConvolutionFilters.SobelXFilter(width, height, channels, image);
break;
case "SOBELY":
filteredImage = ConvolutionFilters.SobelYFilter(width, height, channels, image);
break;
case "SOBEL":
case "SOBELXY":
filteredImage = ConvolutionFilters.SobelFilter(width, height, channels, image);
break;
default:
return(false);
}
try
{
new BitMapWriting(output, input.Header, filteredImage);
}
catch (Exception)
{
Console.WriteLine("Could not open\\create output file");
Environment.Exit(3);
}
Console.WriteLine($"{filterName} filter was applied successfully");
return(true);
}
static void Main(string[] args)
{
PrintDescription();
if (args.Length != 3)
{
Console.WriteLine(
"Неверное количество аргументов. Формат: <программа> <имя_входного_файла> <название_фильтра> <имя выходного файла>");
return;
}
string currentFilter = args[1];
if (!currentFilter.Equals("median") && !currentFilter.Equals("gauss") && !currentFilter.Equals("sobelx") &&
!currentFilter.Equals("sobely") && !currentFilter.Equals("gray"))
{
Console.WriteLine("Введённый фильтр не относится к списку доступных. Попробуйте ещё раз.");
return;
}
FileStream fileIn;
try
{
fileIn = new FileStream(args[0], FileMode.Open, FileAccess.ReadWrite);
}
catch (FileNotFoundException)
{
Console.WriteLine("Ошибка! Входной файл не был найден! Попробуйте ещё раз.");
return;
}
FileStream fileOut;
try
{
fileOut = new FileStream(args[2], FileMode.Create, FileAccess.ReadWrite);
}
catch (Exception)
{
fileIn.Close();
Console.WriteLine("Ошибка! Не удалось создать/открыть выходной файл. Попробуйте ещё раз.");
return;
}
BitMapFile file = new(fileIn);
fileIn.Close();
if (currentFilter.Equals("gray"))
{
Console.WriteLine("Выбран фильтр серого");
GrayFilter.ApplyFilter(file);
}
else if (currentFilter.Equals("median"))
{
Console.WriteLine("Выбран усредняющий фильтр");
MedianFilter.ApplyFilter(file);
}
else if (currentFilter.Equals("gauss"))
{
Console.WriteLine("Выбран фильтр Гаусса");
GaussFilter.ApplyFilter(file);
}
else if (currentFilter.Equals("sobelx"))
{
Console.WriteLine("Выбран фильтр Собеля по X");
SobelFilter.ApplyFilter(file, SobelFilter.Type.X);
}
else if (currentFilter.Equals("sobely"))
{
Console.WriteLine("Выбран фильтр Собеля по Y");
SobelFilter.ApplyFilter(file, SobelFilter.Type.Y);
}
Console.WriteLine("Фильтр был успешно применён");
file.WriteResult(fileOut);
fileOut.Close();
}
private void ApplyFilter(FilterType filterType, int windowSize = 0)
{
Invoke(new ArgUtils.Action(delegate
{
pictureBox2.Image = null;
}));
IFilter filter = null;
IBinarization binarization = null;
switch (filterType)
{
case FilterType.AdaptiveBinarization:
binarization = new AdaptiveBinarizatoinFilter(UpdateProgtessBar);
break;
case FilterType.BinarizationByOtsu:
binarization = new BinarizationByOtsu(UpdateProgtessBar);
break;
case FilterType.Gaus:
filter = new GausFilter(windowSize, false, UpdateProgtessBar);
break;
case FilterType.Median:
filter = new Filters.MedianFilter(windowSize, false, UpdateProgtessBar);
break;
case FilterType.Gray:
filter = new GrayFilter();
break;
case FilterType.Edge:
filter = new Filters.EdgeFilter();
break;
case FilterType.Sharpen:
filter = new SharpenFilter();
break;
}
var bitmap = GetInitialBitmap();
Bitmap result = null;
Invoke(new ArgUtils.Action(delegate
{
progressBar1.Value = 0;
}));
if (filter != null)
{
result = filter.GetFilteredImage(bitmap);
}
else if (binarization != null)
{
result = binarization.GetBinaryImage(bitmap);
}
Invoke(new ArgUtils.Action(delegate
{
if (progressBar1.Value < 100)
{
progressBar1.Value = 100;
}
pictureBox2.Image = result;
}));
}
public GrayFilterOptions(GrayFilter filter)
{
_filter = filter;
InitializeComponent();
}
public static byte[][] SobelYFilter(uint width, uint height, int channels, byte[][] image)
{
image = GrayFilter.ApplyFilter(width, height, channels, image);
double[] kernel = { -1, 0, 1, -2, 0, 2, -1, 0, 1 };
return(Convolution(width, height, channels, image, kernel));
}
