public static void SaveGrayscaleImage(string sourceFilePath, byte[,] grayscaleImage)
{
string newFilePath = ProbA1.NewFilePath(sourceFilePath, "Grayscale");
Utility.SaveGrayscaleImage(grayscaleImage, newFilePath);
Console.WriteLine($"Saved grayscale image to \'{newFilePath}\'");
}
public static void ApplyPrewittFilterAndSave(
string sourceFilePath, byte[,] sourceImage)
{
byte[,] resultImage = ImageFiltering.ApplyPrewittFilter(sourceImage, true);
string newFilePath = ProbA1.NewFilePath(sourceFilePath, "PrewittFilter");
Utility.SaveGrayscaleImage(resultImage, newFilePath);
Console.WriteLine($"Prewitt filter applied and saved to \'{newFilePath}\'");
}
public static void ApplyAveragingFilterAndSave(
string sourceFilePath, byte[,] sourceImage, int filterSize)
{
byte[,] resultImage = ImageFiltering.ApplyAveragingFilter(sourceImage, filterSize);
string newFilePath = ProbA1.NewFilePath(sourceFilePath, $"AveragingFilter{filterSize}");
Utility.SaveGrayscaleImage(resultImage, newFilePath);
Console.WriteLine($"Averaging filter (size: {filterSize}) " +
$"applied and saved to \'{newFilePath}\'");
}
public static void ApplySharpeningFilterAndSave(
string sourceFilePath, byte[,] sourceImage, int filterSize, double k)
{
byte[,] resultImage = ImageFiltering.ApplySharpeningFilter(sourceImage, filterSize, k);
string newFilePath = ProbA1.NewFilePath(
sourceFilePath, $"SharpeningFilter{filterSize}-{k}");
Utility.SaveGrayscaleImage(resultImage, newFilePath);
Console.WriteLine($"Sharpening filter applied and saved to \'{newFilePath}\'");
}
public static void DetectEdgesAndSave(
string sourceFilePath, byte[,] sourceImage, int filterSize, double standardDeviation)
{
byte[,] resultImage = ImageFiltering.DetectEdges(
sourceImage, filterSize, standardDeviation);
string newFilePath = ProbA1.NewFilePath(
sourceFilePath, $"DetectEdges{filterSize}-{standardDeviation}");
Utility.SaveGrayscaleImage(resultImage, newFilePath);
Console.WriteLine($"Edge detection done and file saved to \'{newFilePath}\'");
}
public static void ApplyGaussianFilterAndSave(
string sourceFilePath, byte[,] sourceImage, int filterSize, double standardDeviation)
{
byte[,] resultImage = ImageFiltering.ApplyGaussianFilter(
sourceImage, filterSize, standardDeviation);
string newFilePath = ProbA1.NewFilePath(
sourceFilePath, $"GaussianFilter{filterSize}-{standardDeviation}");
Utility.SaveGrayscaleImage(resultImage, newFilePath);
Console.WriteLine($"Gaussian filter (size: {filterSize}, " +
$"standard deviation: {standardDeviation}) " +
$"applied and saved to \'{newFilePath}\'");
}
public static void Main(string[] args)
{
Console.Write("Input image file name: ");
string fileName = Console.ReadLine();
byte[,] sourceImage = Utility.LoadGrayscaleImage(fileName);
ProbA1.SaveGrayscaleImage(fileName, sourceImage);
ProbA1.ApplyAveragingFilterAndSave(fileName, sourceImage, 3);
ProbA1.ApplyAveragingFilterAndSave(fileName, sourceImage, 5);
ProbA1.ApplyAveragingFilterAndSave(fileName, sourceImage, 9);
ProbA1.ApplyGaussianFilterAndSave(fileName, sourceImage, 5, 1.5);
ProbA1.ApplyDerivativeFilterAndSave(fileName, sourceImage);
ProbA1.DetectEdgesAndSave(fileName, sourceImage, 9, 1.5);
ProbA1.ApplySharpeningFilterAndSave(fileName, sourceImage, 3, 4);
ProbA1.ApplySharpeningFilterAndSave(fileName, sourceImage, 3, 9);
ProbA1.ApplySharpeningFilterAndSave(fileName, sourceImage, 3, 18);
ProbA1.ApplyPrewittFilterAndSave(fileName, sourceImage);
ProbA1.ApplySobelFilterAndSave(fileName, sourceImage);
Console.ReadKey();
}