using System;
using System.Drawing;
using Emgu.CV;
using Emgu.CV.Structure;
namespace VideoProcessor
{
class Filters
{
///
///
///
public void ColorSwap()
{
VideoCapture capture = new VideoCapture();
Mat frame = new();
bool pause = false;
while(!pause)
{
capture.Read(frame);
Image convertFrame = frame.ToImage();
// 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;
}
}
}
///
///
///
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().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;
}
}
}
}
}