C# 指针操作图像 二值化处理

///

/// 二值化图像
///

///
///
private static unsafe Bitmap Binaryzation(Bitmap bmp)
{
BitmapData dstData = bmp.LockBits(new Rectangle(0, 0, bmp.Width, bmp.Height), ImageLockMode.ReadWrite, bmp.PixelFormat);
byte* data = (byte*)(dstData.Scan0);
//将图像转换为0,1二值得图像;
int step = dstData.Stride;

int means = getThreshold(data, bmp.Height * step);
for (int y = 0; y < bmp.Height; y++)
{
for (int x = 0; x < bmp.Width * 3; x += 3)
{
if (data[y * step + x + 2] > means)
data[y * step + x]
= data[y * step + x + 1]
= data[y * step + x + 2]
= 255;
else
data[y * step + x]
= data[y * step + x + 1]
= data[y * step + x + 2]
= 0;
}
}
bmp.UnlockBits(dstData);
return bmp;
}

///

/// 图像二值化 获取阀值
///

///
/// height * Stride
///
private static unsafe int getThreshold(byte* inPixels, int length)
{
int inithreshold = 127;
int finalthreshold = 0;
List temp = new List();
for (int index = 0; index < length; index += 3)
{
temp.Add(inPixels[index + 2]);
}
List sub1 = new List();
List sub2 = new List();
int means1 = 0, means2 = 0;
while (finalthreshold != inithreshold)
{
finalthreshold = inithreshold;
for (int i = 0; i < temp.Count(); i++)
{
if (temp[i] <= inithreshold)
{
sub1.Add(temp[i]);
}
else
{
sub2.Add(temp[i]);
}
}
means1 = getMeans(sub1);
means2 = getMeans(sub2);
sub1.Clear();
sub2.Clear();
inithreshold = (means1 + means2) / 2;
}
return finalthreshold;
}

///

/// 图像二值化 获取Means
///

///
///
private static int getMeans(List data)
{
int result = 0;
int size = data.Count();
foreach (int i in data)
{
result += i;
}
return (result / size);
}

转 https://www.cnblogs.com/mahatmasmile/p/4247709.html