C# 简单的图像边缘提取

时间:2023-04-18 19:25:50

博主做的很简单,大家看一看就好了......

用到的算法是robert算子,这是一种比较简单的算法:

f(x,y)=sqrt((g(x,y)-g(x+1,y+1))^2+(g(x+1,y)-g(x,y+1))^2)

博主一共写了三段代码,第一段是边缘提取,第二段是线条加粗,第三段是原图和边缘图重合,三段代码可以放在一起,但为了看得清晰我就把他们分开了。

简单粗暴直接上代码!

private void Image_Test()
{
if (this.pBox.Image != null)
{ int Height = this.pBox.Image.Height;
int Width = this.pBox.Image.Width;
Bitmap bitmap = new Bitmap(Width, Height, PixelFormat.Format24bppRgb);
Bitmap MyBitmap = (Bitmap)this.pBox.Image;
BitmapData oldData = MyBitmap.LockBits(new Rectangle(, , Width, Height), ImageLockMode.ReadOnly, PixelFormat.Format24bppRgb); //原图
BitmapData newData = bitmap.LockBits(new Rectangle(, , Width, Height), ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb); //新图即边缘图
unsafe
{
//首先第一段代码是提取边缘,边缘置为黑色,其他部分置为白色
byte* pin_1 = (byte*)(oldData.Scan0.ToPointer());
byte* pin_2 = pin_1 + (oldData.Stride);
byte* pout = (byte*)(newData.Scan0.ToPointer());
for (int y = ; y < oldData.Height - ; y++)
{
for (int x = ; x < oldData.Width; x++)
{
//使用robert算子
double b = System.Math.Sqrt(((double)pin_1[] - (double)(pin_2[] + )) * ((double)pin_1[] - (double)(pin_2[] + )) + ((double)(pin_1[] + ) - (double)pin_2[]) * ((double)(pin_1[] + ) - (double)pin_2[]));
double g = System.Math.Sqrt(((double)pin_1[] - (double)(pin_2[] + )) * ((double)pin_1[] - (double)(pin_2[] + )) + ((double)(pin_1[] + ) - (double)pin_2[]) * ((double)(pin_1[] + ) - (double)pin_2[]));
double r = System.Math.Sqrt(((double)pin_1[] - (double)(pin_2[] + )) * ((double)pin_1[] - (double)(pin_2[] + )) + ((double)(pin_1[] + ) - (double)pin_2[]) * ((double)(pin_1[] + ) - (double)pin_2[]));
double bgr = b + g + r;//博主一直在纠结要不要除以3,感觉没差,选阈值的时候调整一下就好了- - if (bgr > ) //阈值,超过阈值判定为边缘(选取适当的阈值)
{
b = ;
g = ;
r = ;
}
else
{
b = ;
g = ;
r = ;
}
pout[] = (byte)(b);
pout[] = (byte)(g);
pout[] = (byte)(r);
pin_1 = pin_1 + ;
pin_2 = pin_2 + ;
pout = pout + ; }
pin_1 += oldData.Stride - oldData.Width * ;
pin_2 += oldData.Stride - oldData.Width * ;
pout += newData.Stride - newData.Width * ;
} //这里博主加粗了一下线条- -,不喜欢的同学可以删了这段代码
byte* pin_5 = (byte*)(newData.Scan0.ToPointer());
for (int y = ; y < oldData.Height - ; y++)
{
for (int x = 3; x < oldData.Width; x++)
{
if(pin_5[]==&&pin_5[]==&&pin_5[]==)
{
pin_5[-] = ;
pin_5[-] = ;
pin_5[-] = ; //边缘点的前一个像素点置为黑色(注意一定要是遍历过的像素点)
}
pin_5 += ; }
pin_5 += newData.Stride - newData.Width * ;
} //这段代码是把原图和边缘图重合
byte* pin_3= (byte*)(oldData.Scan0.ToPointer());
byte* pin_4 = (byte*)(newData.Scan0.ToPointer());
for (int y = ; y < oldData.Height - ; y++)
{
for (int x = ; x < oldData.Width; x++)
{
if (pin_4[] == && pin_4[]== && pin_4[]==)
{
pin_4[] = pin_3[];
pin_4[] = pin_3[];
pin_4[] = pin_3[];
}
pin_3 += ;
pin_4 += ;
}
pin_3 += oldData.Stride - oldData.Width * ;
pin_4 += newData.Stride - newData.Width * ;
}
//......
bitmap.UnlockBits(newData);
MyBitmap.UnlockBits(oldData);
this.pBox.Image = bitmap;
} } }

例子1:

C#  简单的图像边缘提取C#  简单的图像边缘提取C#  简单的图像边缘提取

例子2:

C#  简单的图像边缘提取C#  简单的图像边缘提取C#  简单的图像边缘提取