我现在是在C++结合OpenCV编写的小波变换和逆变换函数，请问该如何生成.dll文件以供C#调用啊？代码如下：
#include "stdafx.h"
#include "stdafx.h"
#include "cv.h"
#include "highgui.h"

// 二维离散小波变换（单通道浮点图像）
void DWT(IplImage *pImage, int nLayer)
{
 // 执行条件
 if (pImage)
 {
  if (pImage->nChannels == 1 &&
   pImage->depth == IPL_DEPTH_32F &&
   ((pImage->width >> nLayer) << nLayer) == pImage->width &&
   ((pImage->height >> nLayer) << nLayer) == pImage->height)
  {
   int     i, x, y, n;
   float   fValue   = 0;
   float   fRadius  = sqrt(2.0f);
   int     nWidth   = pImage->width;
   int     nHeight  = pImage->height;
   int     nHalfW   = nWidth / 2;
   int     nHalfH   = nHeight / 2;
   float **pData    = new float*[pImage->height];
   float  *pRow     = new float[pImage->width];
   float  *pColumn  = new float[pImage->height];
   for (i = 0; i < pImage->height; i++)
   {
    pData[i] = (float*) (pImage->imageData + pImage->widthStep * i);
   }
   // 多层小波变换
   for (n = 0; n < nLayer; n++, nWidth /= 2, nHeight /= 2, nHalfW /= 2, nHalfH /= 2)
   {
    // 水平变换
    for (y = 0; y < nHeight; y++)
    {
     // 奇偶分离
     memcpy(pRow, pData[y], sizeof(float) * nWidth);
     for (i = 0; i < nHalfW; i++)
     {
      x = i * 2;
      pData[y][i] = pRow[x];
      pData[y][nHalfW + i] = pRow[x + 1];
     }
     // 提升小波变换
     for (i = 0; i < nHalfW - 1; i++)
     {
      fValue = (pData[y][i] + pData[y][i + 1]) / 2;
      pData[y][nHalfW + i] -= fValue;
     }
     fValue = (pData[y][nHalfW - 1] + pData[y][nHalfW - 2]) / 2;
     pData[y][nWidth - 1] -= fValue;
     fValue = (pData[y][nHalfW] + pData[y][nHalfW + 1]) / 4;
     pData[y][0] += fValue;
     for (i = 1; i < nHalfW; i++)
     {
      fValue = (pData[y][nHalfW + i] + pData[y][nHalfW + i - 1]) / 4;
      pData[y][i] += fValue;
     }
     // 频带系数
     for (i = 0; i < nHalfW; i++)
     {
      pData[y][i] *= fRadius;
      pData[y][nHalfW + i] /= fRadius;
     }
    }
    // 垂直变换
    for (x = 0; x < nWidth; x++)
    {
     // 奇偶分离
     for (i = 0; i < nHalfH; i++)
     {
      y = i * 2;
      pColumn[i] = pData[y][x];
      pColumn[nHalfH + i] = pData[y + 1][x];
     }
     for (i = 0; i < nHeight; i++)
     {
      pData[i][x] = pColumn[i];
     }
     // 提升小波变换
     for (i = 0; i < nHalfH - 1; i++)
     {
      fValue = (pData[i][x] + pData[i + 1][x]) / 2;
      pData[nHalfH + i][x] -= fValue;
     }
     fValue = (pData[nHalfH - 1][x] + pData[nHalfH - 2][x]) / 2;
     pData[nHeight - 1][x] -= fValue;
     fValue = (pData[nHalfH][x] + pData[nHalfH + 1][x]) / 4;
     pData[0][x] += fValue;
     for (i = 1; i < nHalfH; i++)
     {
      fValue = (pData[nHalfH + i][x] + pData[nHalfH + i - 1][x]) / 4;
      pData[i][x] += fValue;
     }
     // 频带系数
     for (i = 0; i < nHalfH; i++)
     {
      pData[i][x] *= fRadius;
      pData[nHalfH + i][x] /= fRadius;
     }
    }
   }
   delete[] pData;
   delete[] pRow;
   delete[] pColumn;
  }
 }
}
// 二维离散小波恢复（单通道浮点图像）
void IDWT(IplImage *pImage, int nLayer)
{
 // 执行条件
 if (pImage)
 {
  if (pImage->nChannels == 1 &&
   pImage->depth == IPL_DEPTH_32F &&
   ((pImage->width >> nLayer) << nLayer) == pImage->width &&
   ((pImage->height >> nLayer) << nLayer) == pImage->height)
  {
   int     i, x, y, n;
   float   fValue   = 0;
   float   fRadius  = sqrt(2.0f);
   int     nWidth   = pImage->width >> (nLayer - 1);
   int     nHeight  = pImage->height >> (nLayer - 1);
   int     nHalfW   = nWidth / 2;
   int     nHalfH   = nHeight / 2;
   float **pData    = new float*[pImage->height];
   float  *pRow     = new float[pImage->width];
   float  *pColumn  = new float[pImage->height];
   for (i = 0; i < pImage->height; i++)
   {
    pData[i] = (float*) (pImage->imageData + pImage->widthStep * i);
   }
   // 多层小波恢复
   for (n = 0; n < nLayer; n++, nWidth *= 2, nHeight *= 2, nHalfW *= 2, nHalfH *= 2)
   {
    // 垂直恢复
    for (x = 0; x < nWidth; x++)
    {
     // 频带系数
     for (i = 0; i < nHalfH; i++)
     {
      pData[i][x] /= fRadius;
      pData[nHalfH + i][x] *= fRadius;
     }
     // 提升小波恢复
     fValue = (pData[nHalfH][x] + pData[nHalfH + 1][x]) / 4;
     pData[0][x] -= fValue;
     for (i = 1; i < nHalfH; i++)
     {
      fValue = (pData[nHalfH + i][x] + pData[nHalfH + i - 1][x]) / 4;
      pData[i][x] -= fValue;
     }
     for (i = 0; i < nHalfH - 1; i++)
     {
      fValue = (pData[i][x] + pData[i + 1][x]) / 2;
      pData[nHalfH + i][x] += fValue;
     }
     fValue = (pData[nHalfH - 1][x] + pData[nHalfH - 2][x]) / 2;
     pData[nHeight - 1][x] += fValue;
     // 奇偶合并
     for (i = 0; i < nHalfH; i++)
     {
      y = i * 2;
      pColumn[y] = pData[i][x];
      pColumn[y + 1] = pData[nHalfH + i][x];
     }
     for (i = 0; i < nHeight; i++)
     {
      pData[i][x] = pColumn[i];
     }
    }
    // 水平恢复
    for (y = 0; y < nHeight; y++)
    {
     // 频带系数
     for (i = 0; i < nHalfW; i++)
     {
      pData[y][i] /= fRadius;
      pData[y][nHalfW + i] *= fRadius;
     }
     // 提升小波恢复
     fValue = (pData[y][nHalfW] + pData[y][nHalfW + 1]) / 4;
     pData[y][0] -= fValue;
     for (i = 1; i < nHalfW; i++)
     {
      fValue = (pData[y][nHalfW + i] + pData[y][nHalfW + i - 1]) / 4;
      pData[y][i] -= fValue;
     }
     for (i = 0; i < nHalfW - 1; i++)
     {
      fValue = (pData[y][i] + pData[y][i + 1]) / 2;
      pData[y][nHalfW + i] += fValue;
     }
     fValue = (pData[y][nHalfW - 1] + pData[y][nHalfW - 2]) / 2;
     pData[y][nWidth - 1] += fValue;
     // 奇偶合并
     for (i = 0; i < nHalfW; i++)
     {
      x = i * 2;
      pRow[x] = pData[y][i];
      pRow[x + 1] = pData[y][nHalfW + i];
     }
     memcpy(pData[y], pRow, sizeof(float) * nWidth);
    }
   }
   delete[] pData;
   delete[] pRow;
   delete[] pColumn;
  }
 }
}

这个是在什么地方写啊 是在win32项目->Dll文件中写，然后生成Dll文件吗？麻烦说仔细一些！我没弄过这个！

你看我这是在win32项目里的Dll文件中写的但生成不了，C#也不知道怎么调用？请求帮忙！
// mydll.h头文件中代码
#ifdef mydll_api
#else
#define mydll_api _declspec(dllimport)
#endif
mydll_api void DWT(IplImage *pImage, int nLayer);
mydll_api void IDWT(IplImage *pImage, int nLayer);

//Wavelet.cpp源文件代码
#define mydll_api _declspec(dllexport)

#include "MyDll.h"
#include "cv.h"
#include "highgui.h"

// 二维离散小波变换（单通道浮点图像）
void DWT(IplImage *pImage, int nLayer)
{
 // 执行条件
 if (pImage)
 {
  if (pImage->nChannels == 1 &&
   pImage->depth == IPL_DEPTH_32F &&
   ((pImage->width >> nLayer) << nLayer) == pImage->width &&
   ((pImage->height >> nLayer) << nLayer) == pImage->height)
  {
   int     i, x, y, n;
   float   fValue   = 0;
   float   fRadius  = sqrt(2.0f);
   int     nWidth   = pImage->width;
   int     nHeight  = pImage->height;
   int     nHalfW   = nWidth / 2;
   int     nHalfH   = nHeight / 2;
   float **pData    = new float*[pImage->height];
   float  *pRow     = new float[pImage->width];
   float  *pColumn  = new float[pImage->height];
   for (i = 0; i < pImage->height; i++)
   {
    pData[i] = (float*) (pImage->imageData + pImage->widthStep * i);
   }
   // 多层小波变换
   for (n = 0; n < nLayer; n++, nWidth /= 2, nHeight /= 2, nHalfW /= 2, nHalfH /= 2)
   {
    // 水平变换
    for (y = 0; y < nHeight; y++)
    {
     // 奇偶分离
     memcpy(pRow, pData[y], sizeof(float) * nWidth);
     for (i = 0; i < nHalfW; i++)
     {
      x = i * 2;
      pData[y][i] = pRow[x];
      pData[y][nHalfW + i] = pRow[x + 1];
     }
     // 提升小波变换
     for (i = 0; i < nHalfW - 1; i++)
     {
      fValue = (pData[y][i] + pData[y][i + 1]) / 2;
      pData[y][nHalfW + i] -= fValue;
     }
     fValue = (pData[y][nHalfW - 1] + pData[y][nHalfW - 2]) / 2;
     pData[y][nWidth - 1] -= fValue;
     fValue = (pData[y][nHalfW] + pData[y][nHalfW + 1]) / 4;
     pData[y][0] += fValue;
     for (i = 1; i < nHalfW; i++)
     {
      fValue = (pData[y][nHalfW + i] + pData[y][nHalfW + i - 1]) / 4;
      pData[y][i] += fValue;
     }
     // 频带系数
     for (i = 0; i < nHalfW; i++)
     {
      pData[y][i] *= fRadius;
      pData[y][nHalfW + i] /= fRadius;
     }
    }
    // 垂直变换
    for (x = 0; x < nWidth; x++)
    {
     // 奇偶分离
     for (i = 0; i < nHalfH; i++)
     {
      y = i * 2;
      pColumn[i] = pData[y][x];
      pColumn[nHalfH + i] = pData[y + 1][x];
     }
     for (i = 0; i < nHeight; i++)
     {
      pData[i][x] = pColumn[i];
     }
     // 提升小波变换
     for (i = 0; i < nHalfH - 1; i++)
     {
      fValue = (pData[i][x] + pData[i + 1][x]) / 2;
      pData[nHalfH + i][x] -= fValue;
     }
     fValue = (pData[nHalfH - 1][x] + pData[nHalfH - 2][x]) / 2;
     pData[nHeight - 1][x] -= fValue;
     fValue = (pData[nHalfH][x] + pData[nHalfH + 1][x]) / 4;
     pData[0][x] += fValue;
     for (i = 1; i < nHalfH; i++)
     {
      fValue = (pData[nHalfH + i][x] + pData[nHalfH + i - 1][x]) / 4;
      pData[i][x] += fValue;
     }
     // 频带系数
     for (i = 0; i < nHalfH; i++)
     {
      pData[i][x] *= fRadius;
      pData[nHalfH + i][x] /= fRadius;
     }
    }
   }
   delete[] pData;
   delete[] pRow;
   delete[] pColumn;
  }
 }
}
// 二维离散小波恢复（单通道浮点图像）
void IDWT(IplImage *pImage, int nLayer)
{
 // 执行条件
 if (pImage)
 {
  if (pImage->nChannels == 1 &&
   pImage->depth == IPL_DEPTH_32F &&
   ((pImage->width >> nLayer) << nLayer) == pImage->width &&
   ((pImage->height >> nLayer) << nLayer) == pImage->height)
  {
   int     i, x, y, n;
   float   fValue   = 0;
   float   fRadius  = sqrt(2.0f);
   int     nWidth   = pImage->width >> (nLayer - 1);
   int     nHeight  = pImage->height >> (nLayer - 1);
   int     nHalfW   = nWidth / 2;
   int     nHalfH   = nHeight / 2;
   float **pData    = new float*[pImage->height];
   float  *pRow     = new float[pImage->width];
   float  *pColumn  = new float[pImage->height];
   for (i = 0; i < pImage->height; i++)
   {
    pData[i] = (float*) (pImage->imageData + pImage->widthStep * i);
   }
   // 多层小波恢复
   for (n = 0; n < nLayer; n++, nWidth *= 2, nHeight *= 2, nHalfW *= 2, nHalfH *= 2)
   {
    // 垂直恢复
    for (x = 0; x < nWidth; x++)
    {
     // 频带系数
     for (i = 0; i < nHalfH; i++)
     {
      pData[i][x] /= fRadius;
      pData[nHalfH + i][x] *= fRadius;
     }
     // 提升小波恢复
     fValue = (pData[nHalfH][x] + pData[nHalfH + 1][x]) / 4;
     pData[0][x] -= fValue;
     for (i = 1; i < nHalfH; i++)
     {
      fValue = (pData[nHalfH + i][x] + pData[nHalfH + i - 1][x]) / 4;
      pData[i][x] -= fValue;
     }
     for (i = 0; i < nHalfH - 1; i++)
     {
      fValue = (pData[i][x] + pData[i + 1][x]) / 2;
      pData[nHalfH + i][x] += fValue;
     }
     fValue = (pData[nHalfH - 1][x] + pData[nHalfH - 2][x]) / 2;
     pData[nHeight - 1][x] += fValue;
     // 奇偶合并
     for (i = 0; i < nHalfH; i++)
     {
      y = i * 2;
      pColumn[y] = pData[i][x];
      pColumn[y + 1] = pData[nHalfH + i][x];
     }
     for (i = 0; i < nHeight; i++)
     {
      pData[i][x] = pColumn[i];
     }
    }
    // 水平恢复
    for (y = 0; y < nHeight; y++)
    {
     // 频带系数
     for (i = 0; i < nHalfW; i++)
     {
      pData[y][i] /= fRadius;
      pData[y][nHalfW + i] *= fRadius;
     }
     // 提升小波恢复
     fValue = (pData[y][nHalfW] + pData[y][nHalfW + 1]) / 4;
     pData[y][0] -= fValue;
     for (i = 1; i < nHalfW; i++)
     {
      fValue = (pData[y][nHalfW + i] + pData[y][nHalfW + i - 1]) / 4;
      pData[y][i] -= fValue;
     }
     for (i = 0; i < nHalfW - 1; i++)
     {
      fValue = (pData[y][i] + pData[y][i + 1]) / 2;
      pData[y][nHalfW + i] += fValue;
     }
     fValue = (pData[y][nHalfW - 1] + pData[y][nHalfW - 2]) / 2;
     pData[y][nWidth - 1] += fValue;
     // 奇偶合并
     for (i = 0; i < nHalfW; i++)
     {
      x = i * 2;
      pRow[x] = pData[y][i];
      pRow[x + 1] = pData[y][nHalfW + i];
     }
     memcpy(pData[y], pRow, sizeof(float) * nWidth);
    }
   }
   delete[] pData;
   delete[] pRow;
   delete[] pColumn;
  }
 }
}

提示错误：错误    1    error C2065: 'IplImage' : undeclared identifier    e:\my documents\vs 2005\visual studio 2005\my documents\vs c++.net\c_dwt-idwt_dll\c_dwt-idwt_dll\mydll.h    6   
错误    2    error C2065: 'pImage' : undeclared identifier    e:\my documents\vs 2005\visual studio 2005\my documents\vs c++.net\c_dwt-idwt_dll\c_dwt-idwt_dll\mydll.h    6   
错误    3    error C2062: type 'int' unexpected    e:\my documents\vs 2005\visual studio 2005\my documents\vs c++.net\c_dwt-idwt_dll\c_dwt-idwt_dll\mydll.h    6   
错误    4    error C2062: type 'int' unexpected    e:\my documents\vs 2005\visual studio 2005\my documents\vs c++.net\c_dwt-idwt_dll\c_dwt-idwt_dll\mydll.h    7   
错误    5    error C2065: 'IplImage' : undeclared identifier    e:\my documents\vs 2005\visual studio 2005\my documents\vs c++.net\c_dwt-idwt_dll\c_dwt-idwt_dll\mydll.h    6   
错误    6    error C2065: 'pImage' : undeclared identifier    e:\my documents\vs 2005\visual studio 2005\my documents\vs c++.net\c_dwt-idwt_dll\c_dwt-idwt_dll\mydll.h    6   
错误    7    error C2062: type 'int' unexpected    e:\my documents\vs 2005\visual studio 2005\my documents\vs c++.net\c_dwt-idwt_dll\c_dwt-idwt_dll\mydll.h    6   
错误    8    error C2062: type 'int' unexpected    e:\my documents\vs 2005\visual studio 2005\my documents\vs c++.net\c_dwt-idwt_dll\c_dwt-idwt_dll\mydll.h    7   
错误    9    error C2378: 'IplImage' : redefinition; symbol cannot be overloaded with a typedef    d:\program files\opencv\cxcore\include\cxtypes.h    393   
错误    10    error C2143: syntax error : missing ';' before '*'    d:\program files\opencv\cxcore\include\cxcore.h    97   
错误    11    error C4430: missing type specifier - int assumed. Note: C++ does not support default-int    d:\program files\opencv\cxcore\include\cxcore.h    97   
错误    12    error C2371: 'IplImage' : redefinition; different basic types    d:\program files\opencv\cxcore\include\cxcore.h    97   
错误    13    error C4430: missing type specifier - int assumed. Note: C++ does not support default-int    d:\program files\opencv\cxcore\include\cxcore.h    97   
错误    14    error C2143: syntax error : missing ';' before '*'    d:\program files\opencv\cxcore\include\cxcore.h    100   
错误    15    error C4430: missing type specifier - int assumed. Note: C++ does not support default-int    d:\program files\opencv\cxcore\include\cxcore.h    100   
错误    16    error C2371: 'IplImage' : redefinition; different basic types    d:\program files\opencv\cxcore\include\cxcore.h    100   
错误    17    error C2065: 'image' : undeclared identifier    d:\program files\opencv\cxcore\include\cxcore.h    100   
错误    18    error C2275: 'CvSize' : illegal use of this type as an expression    d:\program files\opencv\cxcore\include\cxcore.h    100   
错误    19    error C2146: syntax error : missing ')' before identifier 'size'    d:\program files\opencv\cxcore\include\cxcore.h    100   
警告    20    warning C4229: anachronism used : modifiers on data are ignored    d:\program files\opencv\cxcore\include\cxcore.h    100   
错误    21    error C4430: missing type specifier - int assumed. Note: C++ does not support default-int    d:\program files\opencv\cxcore\include\cxcore.h    100   
错误    22    error C2078: too many initializers    d:\program files\opencv\cxcore\include\cxcore.h    100   
错误    23    error C2275: 'CvSize' : illegal use of this type as an expression    d:\program files\opencv\cxcore\include\cxcore.h    100   
错误    24    error C2059: syntax error : ')'    d:\program files\opencv\cxcore\include\cxcore.h    102   
错误    25    error C2143: syntax error : missing ';' before '*'    d:\program files\opencv\cxcore\include\cxcore.h    105   
错误    26    error C4430: missing type specifier - int assumed. Note: C++ does not support default-int    d:\program files\opencv\cxcore\include\cxcore.h    105   
错误    27    error C2371: 'IplImage' : redefinition; different basic types    d:\program files\opencv\cxcore\include\cxcore.h    105   
错误    28    error C4430: missing type specifier - int assumed. Note: C++ does not support default-int    d:\program files\opencv\cxcore\include\cxcore.h    105   
警告    29    warning C4229: anachronism used : modifiers on data are ignored    d:\program files\opencv\cxcore\include\cxcore.h    108   
错误    30    error C2182: 'cvReleaseImageHeader' : illegal use of type 'void'    d:\program files\opencv\cxcore\include\cxcore.h    108   
错误    31    fatal error C1903: unable to recover from previous error(s); stopping compilation    d:\program files\opencv\cxcore\include\cxcore.h    108