EMGU - “抛出类型'System.OutOfMemoryException'的异常。”

Question

我收到了上面的消息，而我正试图在26帧以上运行我的算法。

我的程序是在C＃中，我在java（Android）中使用OpenCV的经验我知道我需要发布矩阵，我还需要在这里做吗？

这是问题的一部分：

 private void toolStripButton2_Click(object sender, EventArgs e)
        {  
            for (int i = 0; i < FRAME_SIZE; i++)
            {
                ColorImage = _Capture.QueryFrame();
                if (ColorImage != null)
                {
                    GrayImage = ColorImage.Convert<Gray, float>();
                    toolStripProgressBar1.Value = i;
                    if (i == 0)
                    {
                        Max_G2 = new Image<Gray, float>(GrayImage.Width, GrayImage.Height);
                        mainimage = new Image<Bgr, byte>(GrayImage.Width, GrayImage.Height);
                    }
                    FindMax(GrayImage.Copy());
                }
                else
                {
                    toolStripStatusLabel1.Text = "The video is too short!";
                    break;
                }
            }
        }

private void FindMax(Image<Gray, float> CurrGray)
        {

            Image<Gray, float> TempImg = new Image<Gray, float>(CurrGray.Width, CurrGray.Height);

            Matrix<float> kernel1 = new Matrix<float>(new float[1, 2] { { -1, 1 } });
            Matrix<float> kernel2 = new Matrix<float>(new float[2, 1] { { -1 }, { 1 } });

            Point anchor = new Point(0, 0);

            CvInvoke.cvFilter2D(CurrGray, TempImg, kernel1, anchor);
            CvInvoke.cvFilter2D(CurrGray, CurrGray, kernel2, anchor);
            TempImg = TempImg.Pow(2);
            CurrGray = CurrGray.Pow(2);

            CurrGray = CurrGray.Add(TempImg);
            CurrGray = CurrGray.Pow(0.5);

            Max_G2._Max(CurrGray);
        }

还有一件事，我已经尝试处理所有矩阵和图像，但它对我不起作用。 我在这里想念什么？

谢谢！

编辑1 :(处置代码）

private void toolStripButton2_Click(object sender, EventArgs e)
        {
            for (int i = 0; i < FRAME_SIZE; i++)
            {

                ColorImage = _Capture.QueryFrame();
                if (ColorImage != null)
                {
                    GrayImage = ColorImage.Convert<Gray, float>();

                    toolStripProgressBar1.Value = i;
                    if (i == 0)
                    {
                        Max_G2 = new Image<Gray, float>(GrayImage.Width, GrayImage.Height);
                        TempImg = new Image<Gray, float>(GrayImage.Width, GrayImage.Height);
                        mainimage = new Image<Bgr, byte>(GrayImage.Width, GrayImage.Height);
                    }
                    FindMax(GrayImage);

                    ColorImage.Dispose();
                    ColorImage = null;
                    GrayImage.Dispose();
                    GrayImage = null;

                    Thread.Sleep(100);
                }
                else
                {
                    toolStripStatusLabel1.Text = "The video is too short!";
                    break;
                }
            }

        }

private void FindMax(Image<Gray, float> CurrGray)
        {



            Matrix<float> kernel1 = new Matrix<float>(new float[1, 2] { { -1, 1 } });
            Matrix<float> kernel2 = new Matrix<float>(new float[2, 1] { { -1 }, { 1 } });

            Point anchor = new Point(0, 0);

            CvInvoke.cvFilter2D(CurrGray, TempImg, kernel1, anchor);
            CvInvoke.cvFilter2D(CurrGray, CurrGray, kernel2, anchor);

            TempImg.Pow(2);
            CurrGray.Pow(2);

            CurrGray.Add(TempImg);
            CurrGray.Pow(0.5);

            Max_G2._Max(CurrGray);

            CurrGray.Dispose();
            CurrGray = null;

        }