1.******************************
vc++ 代码
bool Recognize(Point_2F *arr,uchar* b)
{
Mat src=cv::Mat(415,770,CV_8UC3,b);
/*for (int i=0;i<src.rows;i++)
{
memcpy(src.ptr(i),b+i*src.cols,src.cols);
}*/
cv::imwrite("D:\\my_2_testfiles\\111_before.png",src);
// 保存的照片和原来的照片不一样而且大小也不一样？
}
C#代码
[DllImport("rectanglepoints.dll", EntryPoint = "Recognize", CallingConvention = CallingConvention.Cdecl)]
static extern byte Recognize(IntPtr arr, IntPtr b);
{
// Create a new bitmap.
Bitmap bmp = new Bitmap("D:\\my_2_testfiles\\111.png");
// Lock the bitmap's bits.
Rectangle rect = new Rectangle(0, 0, bmp.Width, bmp.Height);
System.Drawing.Imaging.BitmapData bmpData =
bmp.LockBits(rect, System.Drawing.Imaging.ImageLockMode.ReadWrite,
bmp.PixelFormat);
// Get the address of the first line.
IntPtr ptrImg = bmpData.Scan0;
bool ret;
ret = Convert.ToBoolean(Recognize(IntPtr.Zero, ptrImg));
// Unlock the bits.
bmp.UnlockBits(bmpData);
Console.Read();
}
照片附加
原图：
调用vc++ dll后保存的图片
2.******************************************************************
C#Bitmap和C++ opencv Mat相互转换 C#调用C++编译成的dll，这个dll中包含Opencv个的Mat到c#的Bitmap转换，具体代码如下： C++部分： 首先创建win32应用程序，选择类库模板 DLL_APIuchar * _stdcall run1(char* filename, int&width, int&height, int&step) { IplImage* uu = cvLoadImage(filename); IplImage * dst1 = cvCreateImage(cvSize(uu->width, uu->height), 8, 1); cvCvtColor(uu, dst1, CV_RGB2GRAY); Matss = cvarrToMat(uu); uchar * data = new uchar[uu->width*uu->height * 3]; data = ss.data; width = ss.size().width; height = ss.size().height; step = ss.step; return data; } C#中调用这个dll [DllImport(@"E:\Files\BarcodeProject\Code\testCode\OpenCvAssemblies\Debug\OpenCvAssemblies.dll" )] publicstaticexternIntPtr run1(string a, outint width, outint height, outint step); 至此完成C++ Mat到Bitmap的转换 下面是Bitmap 到 Mat的转换 C# 部分 publicstaticBitmapInfoGetImagePixel(Bitmap Source) { byte[] result; int step; intiWidth = Source.Width; intiHeight = Source.Height; Rectanglerect = newRectangle(0, 0, iWidth, iHeight); System.Drawing.Imaging.BitmapDatabmpData = Source.LockBits(rect, System.Drawing.Imaging.ImageLockMode.ReadWrite, Source.PixelFormat); IntPtriPtr = bmpData.Scan0; intiBytes = iWidth * iHeight * 3; //根据通道数进行设置 byte[] PixelValues = newbyte[iBytes]; //int time = Environment.TickCount; System.Runtime.InteropServices.Marshal .Copy(iPtr, PixelValues, 0, iBytes); //time = Environment.TickCount - time; //Console.WriteLine(time.ToString() + "ms"); Source.UnlockBits(bmpData); step = bmpData.Stride; result = PixelValues; // return result; // step = 0; BitmapInfo bi = newBitmapInfo{ Result=result, Step=step }; return bi; } } ///<summary> /// Bitmap信息类 ///</summary> publicclassBitmapInfo { publicbyte[] Result { get; set; } publicint Step { get; set; } } Step 是扫描的步长，这个很重要，如果这个步长不是原来的值，就会造成图像偏移，从而造成失真。 C++部分 DLL_APIvoid_stdcallshow(uchar* data,intwidth,intheight,intstep) { Matimage(height,width, CV_8UC3,data,step); //image.data = data; imshow("Image",image); //Mat(int rows, int cols, int type, void* data, size_t step = AUTO_STEP); } C# 中调用方式 BitmapInfo bi = GetImagePixel(bitmap); show(bi.Result,bitmap.Width,bitmap.Height,bi.Step); 至此完成他们的相互转换