/// <summary>
/// Processes the image.
/// </summary>
/// <param name="factory">
/// The current instance of the <see cref="T:ImageProcessor.ImageFactory"/> class containing
/// the image to process.
/// </param>
/// <returns>
/// The processed image from the current instance of the <see cref="T:ImageProcessor.ImageFactory"/> class.
/// </returns>
public Image ProcessImage(ImageFactory factory)
{
Bitmap newImage = null;
Image image = factory.Image;
Tuple<IEdgeFilter, bool> parameters = this.DynamicParameter;
IEdgeFilter filter = parameters.Item1;
bool greyscale = parameters.Item2;
try
{
ConvolutionFilter convolutionFilter = new ConvolutionFilter(filter, greyscale);
// Check and assign the correct method. Don't use reflection for speed.
newImage = filter is I2DEdgeFilter
? convolutionFilter.Process2DFilter((Bitmap)image)
: convolutionFilter.ProcessFilter((Bitmap)image);
image.Dispose();
image = newImage;
}
catch (Exception ex)
{
if (newImage != null)
{
newImage.Dispose();
}
throw new ImageProcessingException("Error processing image with " + this.GetType().Name, ex);
}
return image;
}
/// <summary>
/// Processes the image.
/// </summary>
/// <param name="factory">
/// The current instance of the <see cref="T:ImageProcessor.ImageFactory"/> class containing
/// the image to process.
/// </param>
/// <returns>
/// The processed image from the current instance of the <see cref="T:ImageProcessor.ImageFactory"/> class.
/// </returns>
public Image ProcessImage(ImageFactory factory)
{
Bitmap newImage = null;
Bitmap grey = null;
Image image = factory.Image;
byte threshold = this.DynamicParameter;
try
{
// Detect the edges then strip out middle shades.
grey = new ConvolutionFilter(new SobelEdgeFilter(), true).Process2DFilter(image);
grey = new BinaryThreshold(threshold).ProcessFilter(grey);
// Search for the first white pixels
Rectangle rectangle = ImageMaths.GetFilteredBoundingRectangle(grey, 0);
grey.Dispose();
newImage = new Bitmap(rectangle.Width, rectangle.Height, PixelFormat.Format32bppPArgb);
newImage.SetResolution(image.HorizontalResolution, image.VerticalResolution);
using (Graphics graphics = Graphics.FromImage(newImage))
{
graphics.DrawImage(
image,
new Rectangle(0, 0, rectangle.Width, rectangle.Height),
rectangle.X,
rectangle.Y,
rectangle.Width,
rectangle.Height,
GraphicsUnit.Pixel);
}
// Reassign the image.
image.Dispose();
image = newImage;
if (factory.PreserveExifData && factory.ExifPropertyItems.Any())
{
// Set the width EXIF data.
factory.SetPropertyItem(ExifPropertyTag.ImageWidth, (ushort)image.Width);
// Set the height EXIF data.
factory.SetPropertyItem(ExifPropertyTag.ImageHeight, (ushort)image.Height);
}
}
catch (Exception ex)
{
grey?.Dispose();
newImage?.Dispose();
throw new ImageProcessingException("Error processing image with " + this.GetType().Name, ex);
}
return image;
}
/// <summary>
/// Processes the image.
/// </summary>
/// <param name="factory">
/// The current instance of the <see cref="T:ImageProcessor.ImageFactory"/> class containing
/// the image to process.
/// </param>
/// <returns>
/// The processed image from the current instance of the <see cref="T:ImageProcessor.ImageFactory"/> class.
/// </returns>
public Image ProcessImage(ImageFactory factory)
{
Bitmap newImage = null;
Bitmap grey = null;
Image image = factory.Image;
byte threshold = this.DynamicParameter;
try
{
// Detect the edges then strip out middle shades.
grey = new ConvolutionFilter(new SobelEdgeFilter(), true).Process2DFilter(image);
grey = new BinaryThreshold(threshold).ProcessFilter(grey);
// Search for the first white pixels
Rectangle rectangle = ImageMaths.GetFilteredBoundingRectangle(grey, 0);
grey.Dispose();
newImage = new Bitmap(rectangle.Width, rectangle.Height);
newImage.SetResolution(image.HorizontalResolution, image.VerticalResolution);
using (Graphics graphics = Graphics.FromImage(newImage))
{
graphics.DrawImage(
image,
new Rectangle(0, 0, rectangle.Width, rectangle.Height),
rectangle.X,
rectangle.Y,
rectangle.Width,
rectangle.Height,
GraphicsUnit.Pixel);
}
// Reassign the image.
image.Dispose();
image = newImage;
}
catch (Exception ex)
{
if (grey != null)
{
grey.Dispose();
}
if (newImage != null)
{
newImage.Dispose();
}
throw new ImageProcessingException("Error processing image with " + this.GetType().Name, ex);
}
return image;
}
/// <summary>
/// Traces the edges of a given <see cref="Image"/>.
/// </summary>
/// <param name="source">
/// The source <see cref="Image"/>.
/// </param>
/// <param name="destination">
/// The destination <see cref="Image"/>.
/// </param>
/// <param name="threshold">
/// The threshold (between 0 and 255).
/// </param>
/// <returns>
/// The a new instance of <see cref="Bitmap"/> traced.
/// </returns>
public static Bitmap Trace(Image source, Image destination, byte threshold = 0)
{
int width = source.Width;
int height = source.Height;
// Grab the edges converting to greyscale, and invert the colors.
ConvolutionFilter filter = new ConvolutionFilter(new SobelEdgeFilter(), true);
using (Bitmap temp = filter.Process2DFilter(source))
{
destination = new InvertMatrixFilter().TransformImage(temp, destination);
// Darken it slightly to aid detection
destination = Adjustments.Brightness(destination, -5);
}
// Loop through and replace any colors more white than the threshold
// with a transparent one.
using (FastBitmap destinationBitmap = new FastBitmap(destination))
{
Parallel.For(
0,
height,
y =>
{
for (int x = 0; x < width; x++)
{
// ReSharper disable AccessToDisposedClosure
Color color = destinationBitmap.GetPixel(x, y);
if (color.B >= threshold)
{
destinationBitmap.SetPixel(x, y, Color.Transparent);
}
// ReSharper restore AccessToDisposedClosure
}
});
}
// Darken it again to average out the color.
destination = Adjustments.Brightness(destination, -5);
return (Bitmap)destination;
}
