Halcon学習——HObject回転OpenCVSharp Mat

HObjectからBitmapタイプに移行する場合、テストされた移行速度が非常に遅いため、カーブを曲がってMatに移行し、MatからBitmapに移行することができます.
上のコード:

public static Mat HImageToMat(HObject hobj)
        {
            try
            {
                Mat pImage;
                HTuple htChannels;
                HTuple cType = null;
                HTuple width, height;
                width = height = 0;

                htChannels = null;
                HOperatorSet.CountChannels(hobj, out htChannels);

                if (htChannels.Length == 0)
                {
                    return null;
                }
                if (htChannels[0].I == 1)
                {
                    HTuple ptr;
                    HOperatorSet.GetImagePointer1(hobj, out ptr, out cType, out width, out height);
                    pImage = new Mat(new OpenCvSharp.Size(width, height), MatType.CV_8UC1, new Scalar(0));
                    int Width = width;
                    
                    unsafe
                    {
                        for (int i = 0; i < height; i++)
                        {
                            //long step = pImage.Step();
                            IntPtr start = IntPtr.Add(pImage.Data, i * width);
                            CopyMemory(start, new IntPtr((byte*)ptr.IP + width * i), (uint)width);
                        }
                    }
                    
                    return pImage;
                }
                else if (htChannels[0].I == 3)
                {
                    HTuple ptrRed;
                    HTuple ptrGreen;
                    HTuple ptrBlue;

                    HOperatorSet.GetImagePointer3(hobj, out ptrRed, out ptrGreen, out ptrBlue, out cType, out width, out height);
                    Mat pImageRed = new Mat(new OpenCvSharp.Size(width, height), MatType.CV_8UC1);
                    Mat pImageGreen = new Mat(new OpenCvSharp.Size(width, height), MatType.CV_8UC1);
                    Mat pImageBlue = new Mat(new OpenCvSharp.Size(width, height), MatType.CV_8UC1);
                    pImage = new Mat(new OpenCvSharp.Size(width, height), MatType.CV_8UC3, new Scalar(0,0,0));
                    unsafe
                    {
                        for (int i = 0; i < height; i++)
                        {
                            long step = pImage.Step();
                            IntPtr startRed = IntPtr.Add(pImageRed.Data, i * width);
                            IntPtr startGreen = IntPtr.Add(pImageGreen.Data, i * width);
                            IntPtr startBlue = IntPtr.Add(pImageBlue.Data, i * width);
                            CopyMemory(startRed, new IntPtr((byte*)ptrRed.IP + width * i), (uint)width);
                            CopyMemory(startGreen, new IntPtr((byte*)ptrGreen.IP + width * i), (uint)width);
                            CopyMemory(startBlue, new IntPtr((byte*)ptrBlue.IP + width * i), (uint)width);
                        }
                    }
                    Mat[] multi = new Mat[] { pImageBlue, pImageGreen, pImageRed };
                    Cv2.Merge(multi, pImage);
                    pImageRed.Dispose();
                    pImageGreen.Dispose();
                    pImageBlue.Dispose();
                    return pImage;
                }
                else
                {
                    return null;
                }
            }
            catch (Exception ex)
            {
                throw ex;
            }

        }

CopyMemoryという関数が使用されます.メソッドの前に宣言する必要があります.

[DllImport("kernel32.dll", EntryPoint = "CopyMemory", SetLastError = false)]
public static extern void CopyMemory(IntPtr dest, IntPtr src, uint count);

[DllImport("kernel32.dll", EntryPoint = "CopyMemory", SetLastError = false)]
public static extern void CopyMemory(int dest, int src, int count);