本文整理汇总了C#中System.Drawing.Bitmap.BlackAndWhite方法的典型用法代码示例。如果您正苦于以下问题：C# Bitmap.BlackAndWhite方法的具体用法？C# Bitmap.BlackAndWhite怎么用？C# Bitmap.BlackAndWhite使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类System.Drawing.Bitmap的用法示例。
在下文中一共展示了Bitmap.BlackAndWhite方法的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: ConvertToASCII
/// <summary>
/// Converts an image to ASCII art
/// </summary>
/// <param name="Input">The image you wish to convert</param>
/// <returns>A string containing the art</returns>
public static string ConvertToASCII(Bitmap Input)
{
if (Input == null)
throw new ArgumentNullException("Input");
bool ShowLine = true;
using (Bitmap TempImage = Input.BlackAndWhite())
{
BitmapData OldData = TempImage.LockImage();
int OldPixelSize = OldData.GetPixelSize();
StringBuilder Builder = new StringBuilder();
for (int x = 0; x < TempImage.Height; ++x)
{
for (int y = 0; y < TempImage.Width; ++y)
{
if (ShowLine)
{
Color CurrentPixel = OldData.GetPixel(y, x, OldPixelSize);
Builder.Append(_ASCIICharacters[((CurrentPixel.R * _ASCIICharacters.Length) / 255)]);
}
}
if (ShowLine)
{
Builder.Append(System.Environment.NewLine);
ShowLine = false;
}
else
{
ShowLine = true;
}
}
TempImage.UnlockImage(OldData);
return Builder.ToString();
}
}示例2: Colorize
public void Colorize()
{
using (Bitmap TestObject = new Bitmap(@"..\..\Data\Image\Lenna.jpg"))
{
List<Color> Colors = new List<Color>();
for (int x = 0; x < 256; ++x)
Colors.Add(Color.FromArgb(255 - x, 0, x));
using (Bitmap TestObject2 = TestObject.BlackAndWhite())
{
using (Bitmap Image = Assert.Do<Bitmap>(() => TestObject2.Colorize(Colors.ToArray(), @".\Testing\LennaColorize.jpg")))
{
Assert.NotNull(Image);
}
}
}
}示例3: Process
/// <summary>
/// Runs the motion detection algorithm
/// </summary>
/// <param name="NewImage">The "new" frame</param>
/// <param name="OldImage">The "old" frame</param>
/// <param name="Threshold">The threshold used to detect changes in the image</param>
/// <param name="DetectionColor">Color to display changes in the images as</param>
/// <returns>A bitmap indicating where changes between frames have occurred overlayed on top of the new image.</returns>
public static Bitmap Process(Bitmap NewImage, Bitmap OldImage, int Threshold, Color DetectionColor)
{
if (NewImage == null)
throw new ArgumentNullException("NewImage");
if (OldImage == null)
throw new ArgumentNullException("OldImage");
if (DetectionColor == null)
throw new ArgumentNullException("DetectionColor");
using (Bitmap NewImage1 = NewImage.BlackAndWhite())
{
using (Bitmap OldImage1 = OldImage.BlackAndWhite())
{
using (Bitmap NewImage2 = NewImage1.SNNBlur(5))
{
using (Bitmap OldImage2 = OldImage1.SNNBlur(5))
{
using (Bitmap OutputImage = new Bitmap(NewImage2, NewImage2.Width, NewImage2.Height))
{
using (Bitmap Overlay = new Bitmap(NewImage, NewImage.Width, NewImage.Height))
{
BitmapData NewImage2Data = NewImage2.LockImage();
int NewImage2PixelSize = NewImage2Data.GetPixelSize();
BitmapData OldImage2Data = OldImage2.LockImage();
int OldImage2PixelSize = OldImage2Data.GetPixelSize();
BitmapData OverlayData = Overlay.LockImage();
int OverlayPixelSize = OverlayData.GetPixelSize();
for (int x = 0; x < OutputImage.Width; ++x)
{
for (int y = 0; y < OutputImage.Height; ++y)
{
Color NewPixel = NewImage2Data.GetPixel(x, y, NewImage2PixelSize);
Color OldPixel = OldImage2Data.GetPixel(x, y, OldImage2PixelSize);
if (System.Math.Pow((double)(NewPixel.R - OldPixel.R), 2.0) > Threshold)
{
OverlayData.SetPixel(x, y, Color.FromArgb(100, 0, 100), OverlayPixelSize);
}
else
{
OverlayData.SetPixel(x, y, Color.FromArgb(200, 0, 200), OverlayPixelSize);
}
}
}
Overlay.UnlockImage(OverlayData);
NewImage2.UnlockImage(NewImage2Data);
OldImage2.UnlockImage(OldImage2Data);
using (Bitmap Overlay2 = Overlay.EdgeDetection(25, DetectionColor))
{
BitmapData Overlay2Data = Overlay2.LockImage();
int Overlay2PixelSize = Overlay2Data.GetPixelSize();
for (int x = 0; x < OutputImage.Width; ++x)
{
for (int y = 0; y < OutputImage.Height; ++y)
{
Color Pixel1 = Overlay2Data.GetPixel(x, y, Overlay2PixelSize);
if (Pixel1.R != DetectionColor.R || Pixel1.G != DetectionColor.G || Pixel1.B != DetectionColor.B)
{
Overlay2Data.SetPixel(x, y, Color.FromArgb(200, 0, 200), Overlay2PixelSize);
}
}
}
Overlay2.UnlockImage(Overlay2Data);
return OutputImage.Watermark(Overlay2, 1.0f, 0, 0, Color.FromArgb(200, 0, 200));
}
}
}
}
}
}
}
}示例4: BlackAndWhite
public void BlackAndWhite()
{
using (Bitmap TestObject = new Bitmap(@"..\..\Data\Image\Lenna.jpg"))
{
using (Bitmap Image = Assert.Do<Bitmap>(() => TestObject.BlackAndWhite(@".\Testing\LennaBlackAndWhite.jpg")))
{
Assert.NotNull(Image);
}
}
}示例5: MotionDetection
/// <summary>
/// Runs a simplistic motion detection algorithm
/// </summary>
/// <param name="NewImage">The "new" frame</param>
/// <param name="OldImage">The "old" frame</param>
/// <param name="Threshold">The threshold used to detect changes in the image</param>
/// <param name="DetectionColor">Color to display changes in the images as</param>
/// <returns>A bitmap indicating where changes between frames have occurred overlayed on top of the new image.</returns>
public static Bitmap MotionDetection(this Bitmap NewImage, Bitmap OldImage, int Threshold, Color DetectionColor)
{
NewImage.ThrowIfNull("NewImage");
OldImage.ThrowIfNull("OldImage");
DetectionColor.ThrowIfNull("DetectionColor");
using (Bitmap NewImage1 = NewImage.BlackAndWhite())
{
using (Bitmap OldImage1 = OldImage.BlackAndWhite())
{
using (Bitmap NewImage2 = NewImage1.SNNBlur(5))
{
using (Bitmap OldImage2 = OldImage1.SNNBlur(5))
{
using (Bitmap OutputImage = new Bitmap(NewImage2, NewImage2.Width, NewImage2.Height))
{
using (Bitmap Overlay = new Bitmap(NewImage, NewImage.Width, NewImage.Height))
{
BitmapData NewImage2Data = NewImage2.LockImage();
int NewImage2PixelSize = NewImage2Data.GetPixelSize();
BitmapData OldImage2Data = OldImage2.LockImage();
int OldImage2PixelSize = OldImage2Data.GetPixelSize();
BitmapData OverlayData = Overlay.LockImage();
int OverlayPixelSize = OverlayData.GetPixelSize();
int Width = OutputImage.Width;
int Height = OutputImage.Height;
Parallel.For(0, Width, x =>
{
for (int y = 0; y < Height; ++y)
{
Color NewPixel = NewImage2Data.GetPixel(x, y, NewImage2PixelSize);
Color OldPixel = OldImage2Data.GetPixel(x, y, OldImage2PixelSize);
if (System.Math.Pow((double)(NewPixel.R - OldPixel.R), 2.0) > Threshold)
{
OverlayData.SetPixel(x, y, Color.FromArgb(100, 0, 100), OverlayPixelSize);
}
else
{
OverlayData.SetPixel(x, y, Color.FromArgb(200, 0, 200), OverlayPixelSize);
}
}
});
Overlay.UnlockImage(OverlayData);
NewImage2.UnlockImage(NewImage2Data);
OldImage2.UnlockImage(OldImage2Data);
using (Bitmap Overlay2 = Overlay.EdgeDetection(25, DetectionColor))
{
BitmapData Overlay2Data = Overlay2.LockImage();
int Overlay2PixelSize = Overlay2Data.GetPixelSize();
Width = OutputImage.Width;
Height = OutputImage.Height;
Parallel.For(0, Width, x =>
{
for (int y = 0; y < Height; ++y)
{
Color Pixel1 = Overlay2Data.GetPixel(x, y, Overlay2PixelSize);
if (Pixel1.R != DetectionColor.R || Pixel1.G != DetectionColor.G || Pixel1.B != DetectionColor.B)
{
Overlay2Data.SetPixel(x, y, Color.FromArgb(200, 0, 200), Overlay2PixelSize);
}
}
});
Overlay2.UnlockImage(Overlay2Data);
return OutputImage.Watermark(Overlay2, 1.0f, 0, 0, Color.FromArgb(200, 0, 200));
}
}
}
}
}
}
}
}