C#水平垂直图像镜像---C#数字图像处理算法典型实例.赵春江
原理：
变换前
灰度图像--->像素序号=c+r*w（当前列+当前行*列数）
彩色图像--->像素序号=0+c*3+r*w*3
像素序号=1+c*3+r*w*3
像素序号=2+c*3+r*w*3
变换后参考代码
private void start_Click(object sender, EventArgs e)
{
Rectangle rect= new Rectangle(0,0,_bmp.Width,_bmp.Height);
BitmapData bmpdata = https://www.it610.com/article/_bmp.LockBits(rect, ImageLockMode.ReadWrite, _bmp.PixelFormat);
IntPtr ptr = bmpdata.Scan0;
int bytes=0;
if(_bmp.PixelFormat==PixelFormat.Format8bppIndexed)//判断是灰度色图像还是彩色图像，给相应的大小
{
bytes=_bmp.Width*_bmp.Height;
}
else if(_bmp.PixelFormat==PixelFormat.Format24bppRgb)
{
bytes = _bmp.Width * _bmp.Height * 3;
}byte[] pixelValues=new byte[bytes];
System.Runtime.InteropServices.Marshal.Copy(ptr, pixelValues, 0, bytes);
//内存法，从内存中将像素复制到pixelValues数组int halfWidth = _bmp.Width / 2;
int halfheigth= _bmp.Height/2;
byte temp;
byte temp1;
byte temp2;
//灰度图像
if (_bmp.PixelFormat==PixelFormat.Format8bppIndexed)
{
if (HorV)
{
for (int r = 0;
r < _bmp.Height;
r++)
for (int c = 0;
c < halfWidth;
c++)
{
temp = pixelValues[r * _bmp.Width + c];
pixelValues[r * _bmp.Width + c] = pixelValues[(r + 1) * _bmp.Width - c - 1];
pixelValues[(r + 1) * _bmp.Width - c - 1] = temp;
}
}
else
{
for (int c = 0;
c < _bmp.Width;
c++)
{
for (int r = 0;
r < halfheigth;
r++)
{
temp = pixelValues[r * _bmp.Width + c];
pixelValues[r * _bmp.Width + c] = pixelValues[(_bmp.Height - r - 1) * _bmp.Width + c];
pixelValues[(_bmp.Height - r - 1) * _bmp.Width + c] = temp;
}
}
}
}
else if (_bmp.PixelFormat == PixelFormat.Format24bppRgb)//彩色图像
{
if (HorV)
{
for (int r = 0;
r < _bmp.Height;
r++)
for (int c = 0;
c < halfWidth;
c++)
{
temp= pixelValues[0 + r * _bmp.Width * 3 + c * 3];
temp1 = pixelValues[1 + r * _bmp.Width * 3 + c * 3];
temp2 = pixelValues[2 + r * _bmp.Width * 3 + c * 3];
pixelValues[0 + r * _bmp.Width * 3 + c * 3] = pixelValues[0 + (r + 1) * _bmp.Width * 3 - (c + 1) * 3];
pixelValues[1 + r * _bmp.Width * 3 + c * 3] = pixelValues[1 + (r + 1) * _bmp.Width * 3 - (c + 1) * 3];
pixelValues[2 + r * _bmp.Width * 3 + c * 3] = pixelValues[2 + (r + 1) * _bmp.Width * 3 - (c + 1) * 3];
pixelValues[0 + (r + 1) * _bmp.Width * 3 - (c + 1) * 3]=temp;
pixelValues[1 + (r + 1) * _bmp.Width * 3 - (c + 1) * 3]=temp1;
pixelValues[2 + (r + 1) * _bmp.Width * 3 - (c + 1) * 3] = temp2;
}
}
else
{
for (int c = 0;
c < _bmp.Width;
c++)
{
for (int r = 0;
r < halfheigth;
r++)
{
temp= pixelValues[0 + r * _bmp.Width * 3 + c * 3];
temp1 = pixelValues[1 + r * _bmp.Width * 3 + c * 3];
temp2 = pixelValues[2 + r * _bmp.Width * 3 + c * 3];
pixelValues[0 + r * _bmp.Width * 3 + c * 3] = pixelValues[0 + (_bmp.Height - r - 1) * _bmp.Width * 3 + c * 3];
pixelValues[1 + r * _bmp.Width * 3 + c * 3] = pixelValues[1 + (_bmp.Height - r - 1) * _bmp.Width * 3 + c * 3];
pixelValues[2 + r * _bmp.Width * 3 + c * 3] = pixelValues[2 + (_bmp.Height - r - 1) * _bmp.Width * 3 + c * 3];
pixelValues[0 + (_bmp.Height - r - 1) * _bmp.Width * 3 + c * 3] = temp;
pixelValues[1 + (_bmp.Height - r - 1) * _bmp.Width * 3 + c * 3] = temp1;
pixelValues[2 + (_bmp.Height - r - 1) * _bmp.Width * 3 + c * 3] = temp2;
}
}
}
}System.Runtime.InteropServices.Marshal.Copy(pixelValues, 0, ptr, bytes);
_bmp.UnlockBits(bmpdata);
_pictureBox.Image = _bmp;
水平镜像效果
文章图片
垂直镜像效果
文章图片
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