Image processing on the imagebuffer C#

<pre> void icVideo_ImageAvailable(object sender, ICImagingControl.ImageAvailableEventArgs e)
        {

            try
            {
                Currentbuffer = e.ImageBuffer;
               
                icVideo.DisplayImageBuffer(Currentbuffer);

            }
            catch (Exception ex)
            {
                MessageBox.Show(ex.Message);
            }
        }

<pre>void icVideo_ImageAvailable(object sender, ICImagingControl.ImageAvailableEventArgs e)
        {

            try
            {
                Currentbuffer = e.ImageBuffer;


                // Convert Currentbuffer to Mat
                Mat image = new Mat(Currentbuffer.BitsPerPixel, Currentbuffer.BitsPerPixel, (int)DepthType.Cv8U, Currentbuffer.BytesPerLine);

                // Convert image to grayscale
                Mat grayImage = new Mat();
                CvInvoke.CvtColor(image, grayImage, ColorConversion.Bgr2Gray);

                // Apply Canny edge detection algorithm
                double cannyThreshold = 180.0;
                double cannyThresholdLinking = cannyThreshold * 0.4;
                Mat cannyEdges = new Mat();
                CvInvoke.Canny(grayImage, cannyEdges, cannyThreshold, cannyThresholdLinking);

                // Apply Hough line detection algorithm
                double rho = 1.0; // distance resolution in pixels of the Hough grid
                double theta = Math.PI / 180.0; // angular resolution in radians of the Hough grid
                int threshold = 100; // minimum number of votes (intersections in Hough grid cell)
                double minLineLength = 100.0; // minimum number of pixels making up a line
                double maxLineGap = 10.0; // maximum gap in pixels between connectable line segments
                LineSegment2D[] lines = CvInvoke.HoughLinesP(cannyEdges, rho, theta, threshold, minLineLength, maxLineGap);


                // Draw lines on the image
                foreach (LineSegment2D line in lines)
                {
                    CvInvoke.Line(image, line.P1, line.P2, new MCvScalar(0, 0, 255), 2);
                }
                //icVideo.DisplayImageBuffer(new ImageBuffer(image.Width, image.Height, image.DataPointer, image.NumberOfChannels, image.Depth));
                // Display the processed image in the icVideo control
                icVideo.DisplayImageBuffer(Currentbuffer);

            }
            catch (Exception ex)
            {
                MessageBox.Show(ex.Message);
            }
}