public string loadImage()
        {
            OpenFileDialog ofd = new OpenFileDialog();
            ofd.ShowDialog();
            String s = ofd.FileName.Normalize();
            return s;
        }

public void processImage()
        {
            String s = loadImage();
            Image<Gray, Byte> img = new Image<Gray, byte>(s);
            Console.WriteLine("read file @" + s);

            Image<Gray, Byte> tinyGrayImg = img.Resize(0.25, INTER.CV_INTER_NN);
            CvInvoke.cvShowImage("original gray", tinyGrayImg);
            Console.WriteLine("converted " + s + " to grayscale");

            Image<Gray, Byte> canny = new Image<Gray, byte>(CvInvoke.cvGetSize(tinyGrayImg));
            CvInvoke.cvCanny(tinyGrayImg, canny, 97, 225, 3);
            CvInvoke.cvShowImage("canny", canny);
            Console.WriteLine("applied Canny to " + s);

            try
            {
                MemStorage mem = new MemStorage();
                Image<Bgr, byte> linesImg = canny.Convert<Bgr, byte>();
                IntPtr lines = CvInvoke.cvHoughLines2(canny, mem.Ptr, HOUGH_TYPE.CV_HOUGH_PROBABILISTIC, 1, Math.PI /   180, 70, 30, 10);
                Seq<LineSegment2D> segments = new Seq<LineSegment2D>(lines, mem);
                LineSegment2D[] segArray = segments.ToArray();

                for (int i = 0; i < segArray.Length; i++)
                {
                    linesImg.Draw(segArray[i], new Bgr(Color.Red), 1);
                }
                CvInvoke.cvShowImage("lines", linesImg);
            }
            catch (Exception e)
            {
                MessageBox.Show(e.Message);
            }