我需要对我的图像进行一些阈值处理。阈值过滤功能只接受8-16bpp grayscale。我的位图图片具有32bppRGB像素格式。请建议一些相同的代码。(我也想知道是否可以不进行逐像素操作)
ps 我正在使用 Aforge.NET 进行阈值处理。
谢谢
-萨加尔
我需要对我的图像进行一些阈值处理。阈值过滤功能只接受8-16bpp grayscale。我的位图图片具有32bppRGB像素格式。请建议一些相同的代码。(我也想知道是否可以不进行逐像素操作)
ps 我正在使用 Aforge.NET 进行阈值处理。
谢谢
-萨加尔
使用 AForge.NET 框架灰度过滤器
过滤器接受 24、32、48 和 64 bpp 彩色图像并产生 8(如果源是 24 或 32 bpp 图像)或 16(如果源是 48 或 64 bpp 图像)bpp 灰度图像。
然后应用阈值过滤器。
最简单的方法:
public static Bitmap MakeGrayscale(Bitmap original)
{
//make an empty bitmap the same size as original
Bitmap newBitmap = new Bitmap(original.Width, original.Height);
for (int i = 0; i < original.Width; i++)
{
for (int j = 0; j < original.Height; j++)
{
//get the pixel from the original image
Color originalColor = original.GetPixel(i, j);
//create the grayscale version of the pixel
int grayScale = (int)((originalColor.R * .3) + (originalColor.G * .59)
+ (originalColor.B * .11));
//create the color object
Color newColor = Color.FromArgb(grayScale, grayScale, grayScale);
//set the new image's pixel to the grayscale version
newBitmap.SetPixel(i, j, newColor);
}
}
return newBitmap;
}
更快的方式:
public static Bitmap MakeGrayscale2(Bitmap original)
{
unsafe
{
//create an empty bitmap the same size as original
Bitmap newBitmap = new Bitmap(original.Width, original.Height);
//lock the original bitmap in memory
BitmapData originalData = original.LockBits(
new Rectangle(0, 0, original.Width, original.Height),
ImageLockMode.ReadOnly, PixelFormat.Format24bppRgb);
//lock the new bitmap in memory
BitmapData newData = newBitmap.LockBits(
new Rectangle(0, 0, original.Width, original.Height),
ImageLockMode.WriteOnly, PixelFormat.Format24bppRgb);
//set the number of bytes per pixel
int pixelSize = 3;
for (int y = 0; y < original.Height; y++)
{
//get the data from the original image
byte* oRow = (byte*)originalData.Scan0 + (y * originalData.Stride);
//get the data from the new image
byte* nRow = (byte*)newData.Scan0 + (y * newData.Stride);
for (int x = 0; x < original.Width; x++)
{
//create the grayscale version
byte grayScale =
(byte)((oRow[x * pixelSize] * .11) + //B
(oRow[x * pixelSize + 1] * .59) + //G
(oRow[x * pixelSize + 2] * .3)); //R
//set the new image's pixel to the grayscale version
nRow[x * pixelSize] = grayScale; //B
nRow[x * pixelSize + 1] = grayScale; //G
nRow[x * pixelSize + 2] = grayScale; //R
}
}
//unlock the bitmaps
newBitmap.UnlockBits(newData);
original.UnlockBits(originalData);
return newBitmap;
}
}
最快的方式:
public static Bitmap MakeGrayscale3(Bitmap original)
{
//create a blank bitmap the same size as original
Bitmap newBitmap = new Bitmap(original.Width, original.Height);
//get a graphics object from the new image
Graphics g = Graphics.FromImage(newBitmap);
//create the grayscale ColorMatrix
ColorMatrix colorMatrix = new ColorMatrix(
new float[][]
{
new float[] {.3f, .3f, .3f, 0, 0},
new float[] {.59f, .59f, .59f, 0, 0},
new float[] {.11f, .11f, .11f, 0, 0},
new float[] {0, 0, 0, 1, 0},
new float[] {0, 0, 0, 0, 1}
});
//create some image attributes
ImageAttributes attributes = new ImageAttributes();
//set the color matrix attribute
attributes.SetColorMatrix(colorMatrix);
//draw the original image on the new image
//using the grayscale color matrix
g.DrawImage(original, new Rectangle(0, 0, original.Width, original.Height),
0, 0, original.Width, original.Height, GraphicsUnit.Pixel, attributes);
//dispose the Graphics object
g.Dispose();
return newBitmap;
}