Win8Metro(C#)数字图像处理--2.10图像中值滤波

时间:2024-01-10 21:32:56

原文:Win8Metro(C#)数字图像处理--2.10图像中值滤波



[函数名称]

图像中值滤波函数MedianFilterProcess(WriteableBitmap
src)

Win8Metro(C#)数字图像处理--2.10图像中值滤波

[函数代码]

///<summary>

///
Median filter process.

///</summary>

///<param
name="src">Source image.</param>

///<returns></returns>

publicstaticWriteableBitmap
MedianFilterProcess(WriteableBitmap src)////10中值滤波处理

{

if(src!=null
)

{

int
w = src.PixelWidth;

int
h = src.PixelHeight;

WriteableBitmap
filterImage =newWriteableBitmap(w,
h);

byte[]
temp = src.PixelBuffer.ToArray();

byte[]
tempMask = (byte[])temp.Clone();

int
v1 = 0, v2 = 0, v3 = 0, v4 = 0, v5 = 0, v6 = 0, v7 = 0, v8 = 0, t = 0;

for
(int j = 1; j < h - 1; j++)

{

for
(int i = 4; i < w * 4 - 4; i += 4)

{

v1 = (int)(temp[i
- 4 + (j - 1) * w * 4] * 0.114 + temp[i - 4 + 1 + (j - 1) * w * 4] * 0.587 + temp[i - 4 + 2 + (j - 1) * w * 4] * 0.299);

v2 = (int)(temp[i
+ (j - 1) * w * 4] * 0.114 + temp[i + 1 + (j - 1) * w * 4] * 0.587 + temp[i + 2 + (j - 1) * w * 4] * 0.299);

v3 = (int)(temp[i
+ 4 + (j - 1) * w * 4] * 0.114 + temp[i + 4 + 1 + (j - 1) * w * 4] * 0.587 + temp[i + 4 + 2 + (j - 1) * w * 4] * 0.299);

v4 = (int)(temp[i
- 4 + j * w * 4] * 0.114 + temp[i - 4 + 1 + j * w * 4] * 0.587 + temp[i - 4 + 2 + j * w * 4] * 0.299);

v5 = (int)(temp[i
+ 4 + j * w * 4] * 0.114 + temp[i + 4 + 1 + j * w * 4] * 0.587 + temp[i + 4 + 2 + j * w * 4] * 0.299);

v6 = (int)(temp[i
- 4 + (j + 1) * w * 4] * 0.114 + temp[i - 4 + 1 + (j + 1) *w * 4] * 0.587 + temp[i - 4 + 2 + (j + 1) * w * 4] * 0.299);

v7 = (int)(temp[i
+ (j + 1) * w * 4] * 0.114 + temp[i + 1 + (j + 1) * w * 4] * 0.587 + temp[i + 2 + (j + 1) * w * 4] * 0.299);

v8 = (int)(temp[i
+ 4 + (j + 1) * w * 4] * 0.114 + temp[i + 4 + 1 + (j + 1) * w * 4] * 0.587 + temp[i + 4 + 2 + (j + 1) * w * 4] * 0.299);

t = GetMedianValue(v1, v2, v3, v4, v5, v6, v7, v8);

if(t==v1)

{

temp[i + j * w * 4] = (byte)tempMask[i
- 4 + (j - 1) * w * 4];

temp[i + 1 + j * w * 4] = (byte)tempMask[i
- 4 + 1 + (j - 1) * w * 4];

temp[i + 2 + j * w* 4] = (byte)tempMask[i
- 4 + 2 + (j - 1) * w * 4];

}

elseif(t==v2)

{

temp[i + j * w * 4] = (byte)tempMask[i
+ (j - 1) * w * 4];

temp[i + 1 + j * w * 4] = (byte)tempMask[i
+ 1 + (j - 1) * w * 4];

temp[i + 2 + j * w * 4] = (byte)tempMask[i
+ 2 + (j - 1) * w * 4];

}

elseif(t==v3)

{

temp[i + j * w * 4] = (byte)tempMask[i
+ 4 + (j - 1) * w * 4];

temp[i + 1 + j * w * 4] = (byte)tempMask[i
+ 1 + 4 + (j - 1) * w * 4];

temp[i + 2 + j * w * 4] = (byte)tempMask[i
+ 2 + 4 + (j - 1) * w * 4];

}

elseif(t==v4)

{

temp[i + j * w * 4] = (byte)tempMask[i
- 4 + j * w * 4];

temp[i + 1 + j * w * 4] = (byte)tempMask[i
- 4 + 1 + j * w * 4];

temp[i + 2 + j * w * 4] = (byte)tempMask[i
- 4 + 2 + j * w * 4];

}

elseif(t==v5)

{

temp[i + j * w * 4] = (byte)tempMask[i
+ 4 + j * w * 4];

temp[i + 1 + j * w * 4] = (byte)tempMask[i
+ 4 + 1 + j * w * 4];

temp[i + 2 + j * w * 4] = (byte)tempMask[i
+ 4 + 2 + j * w * 4];

}

elseif(t==v6)

{

temp[i + j * w * 4] = (byte)tempMask[i
- 4 + (j + 1) * w * 4];

temp[i + 1 + j * w * 4] = (byte)tempMask[i
- 4 + 1 + (j + 1) * w * 4];

temp[i + 2 + j * w * 4] = (byte)tempMask[i
- 4 + 2 + (j + 1) * w * 4];

}

elseif
(t == v7)

{

temp[i + j * w * 4] = (byte)tempMask[i
+ (j + 1) * w * 4];

temp[i + 1 + j * w * 4] = (byte)tempMask[i
+ 1 + (j + 1) * w * 4];

temp[i + 2 + j * w * 4] = (byte)tempMask[i
+ 2 + (j + 1) * w * 4];

}

else

{

temp[i + j * w * 4] = (byte)tempMask[i
+ 4 + (j + 1) * w * 4];

temp[i + 1 + j * w * 4] = (byte)tempMask[i
+ 4 + 1 + (j + 1) * w * 4];

temp[i + 2 + j * w * 4] = (byte)tempMask[i
+ 4 + 2 + (j + 1) * w * 4];

}

v1 = 0; v2 = 0; v3 = 0; v4 = 0; v5 = 0; v6 = 0; v7 = 0; v8 = 0; t = 0;

}

}

Stream
sTemp = filterImage.PixelBuffer.AsStream();

sTemp.Seek(0,SeekOrigin.Begin);

sTemp.Write(temp, 0, w * 4 * h);

return
filterImage;

}

else

{

returnnull;

}

}

privatestaticint
GetMedianValue(paramsint[]
src)

{

int
w = src.Length;

int
temp = src[0], m = 0;

for
(int i = 1; i < (int)(w
/ 2); i++)

{

if
(src[i] < temp)

{

m = src[i];

src[i] = temp;

temp = m;

}

else

continue;

}

return
(int)((src[(int)(w
/ 2)] + src[(int)(-1 + w / 2)]) / 2);

}

Win8Metro(C#)数字图像处理--2.10图像中值滤波