Emgu.CV-Learning-Projects/src/videoFilters.cs

using System;
using System.Drawing;
using Emgu.CV;
using Emgu.CV.Structure;

namespace VideoProcessor
{
    class Filters
    {   
        /// <summary>
        /// 
        /// </summary>
        public void ColorSwap()
        {
            VideoCapture capture = new VideoCapture();
            Mat frame = new();
            bool pause = false;

            while(!pause) 
            {
                capture.Read(frame);

                Image<Bgr, byte> convertFrame = frame.ToImage<Bgr, byte>();
                // Makes a greyscale image and the pixels that are in the range turn on and the rest are off.
                var image = convertFrame.InRange(new Bgr(75, 0, 0), new Bgr(255, 190, 190));

                // With these loops the program will look accros the rows ans colums for pixes in the rang
                for (int i = 0; i < image.Rows; i++)
                {
                    for (int j = 0; j < image.Cols; j++) 
                    {
                        var intensity = image[i, j];

                        // Takes any pixels the loops find to be on and turns them blue
                        if (intensity.Intensity > 0)
                        {
                            convertFrame[i, j] = new Bgr(convertFrame[i, j].MCvScalar.V0 + 100, convertFrame[i, j].MCvScalar.V1 + 50, convertFrame[i, j].MCvScalar.V2 - 50);
                        }
                        // Takes all the pixels the loops find off and tuns them green
                        if (intensity.Intensity < 1) 
                        {
                            convertFrame[i, j] = new Bgr(convertFrame[i, j].MCvScalar.V0 - 50, convertFrame[i, j].MCvScalar.V1 + 100, convertFrame[i, j].MCvScalar.V2 - 50);
                        }
                    }
                }
                Mat changedFrame = convertFrame.Mat;

                CvInvoke.Imshow("Video", changedFrame);

                int keyPressed = CvInvoke.WaitKey(1);
                if (keyPressed == 27)
                {
                    pause = true;
                }
            }
        }

        /// <summary>
        /// 
        /// </summary>
        public void Edges()
        {
            VideoCapture capture = new VideoCapture();
            Mat feed = new Mat();
            Mat guassianBlur = new Mat();
            Mat cannyFeed = new Mat();
            bool play = false;

            while (!play)
            {
                capture.Read(feed);

                var averge = feed.ToImage<Gray, byte>().GetAverage();
                var lowerThreshold = Math.Max(0, (1.0 - 0.33) * averge.Intensity);
                var upperThreshold = Math.Max(255, (1.0 + 0.33) * averge.Intensity);

                CvInvoke.GaussianBlur(feed, guassianBlur, new System.Drawing.Size(3, 3), 5.0);
                CvInvoke.Canny(guassianBlur, cannyFeed, lowerThreshold, upperThreshold, 3);

                CvInvoke.Imshow("Video Feed", feed);
                CvInvoke.Imshow("Edges Feed", cannyFeed);

                int keyPressed = CvInvoke.WaitKey(1);
                if (keyPressed == 27)
                {
                    play = true;
                }
            }
        }
    }
}