本文整理汇总了C#中Mat.ToImage方法的典型用法代码示例。如果您正苦于以下问题：C# Mat.ToImage方法的具体用法？C# Mat.ToImage怎么用？C# Mat.ToImage使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Mat的用法示例。
在下文中一共展示了Mat.ToImage方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: TestCodeBookBGModel
/*
public void TestCodeBookBGModel()
{
using (Capture capture = new Capture())
using (BGCodeBookModel<Bgr> model = new BGCodeBookModel<Bgr>())
{
ImageViewer viewer = new ImageViewer();
Image<Gray, byte> fgMask = capture.QueryFrame().Convert<Gray, Byte>();
Application.Idle += delegate(Object sender, EventArgs args)
{
Mat frame = capture.QueryFrame();
model.Apply(frame);
viewer.Image = model.ForegroundMask;
};
viewer.ShowDialog();
}
}
public void TestBlobTracking()
{
MCvFGDStatModelParams fgparam = new MCvFGDStatModelParams();
fgparam.alpha1 = 0.1f;
fgparam.alpha2 = 0.005f;
fgparam.alpha3 = 0.1f;
fgparam.delta = 2;
fgparam.is_obj_without_holes = 1;
fgparam.Lc = 32;
fgparam.Lcc = 16;
fgparam.minArea = 15;
fgparam.N1c = 15;
fgparam.N1cc = 25;
fgparam.N2c = 25;
fgparam.N2cc = 35;
fgparam.perform_morphing = 0;
fgparam.T = 0.9f;
BlobTrackerAutoParam<Bgr> param = new BlobTrackerAutoParam<Bgr>();
param.BlobDetector = new BlobDetector(Emgu.CV.CvEnum.BlobDetectorType.CC);
param.FGDetector = new FGDetector<Bgr>(Emgu.CV.CvEnum.ForgroundDetectorType.Fgd, fgparam);
param.BlobTracker = new BlobTracker(Emgu.CV.CvEnum.BLOBTRACKER_TYPE.MSFG);
param.FGTrainFrames = 10;
BlobTrackerAuto<Bgr> tracker = new BlobTrackerAuto<Bgr>(param);
//MCvFont font = new MCvFont(Emgu.CV.CvEnum.FontFace.HersheySimplex, 1.0, 1.0);
using(ImageViewer viewer = new ImageViewer())
using (Capture capture = new Capture())
{
capture.ImageGrabbed += delegate(object sender, EventArgs e)
{
tracker.Process(capture.RetrieveBgrFrame());
//Image<Bgr, Byte> img = capture.RetrieveBgrFrame();
Image<Bgr, Byte> img = tracker.ForegroundMask.Convert<Bgr, Byte>();
foreach (MCvBlob blob in tracker)
{
img.Draw((Rectangle)blob, new Bgr(255.0, 255.0, 255.0), 2);
img.Draw(blob.ID.ToString(), Point.Round(blob.Center), CvEnum.FontFace.HersheySimplex, 1.0, new Bgr(255.0, 255.0, 255.0));
}
viewer.Image = img;
};
capture.Start();
viewer.ShowDialog();
}
}*/
public void TestCvBlob()
{
//MCvFont font = new MCvFont(Emgu.CV.CvEnum.FontFace.HersheySimplex, 0.5, 0.5);
using (CvTracks tracks = new CvTracks())
using (ImageViewer viewer = new ImageViewer())
using (Capture capture = new Capture())
using (Mat fgMask = new Mat())
{
//BGStatModel<Bgr> bgModel = new BGStatModel<Bgr>(capture.QueryFrame(), Emgu.CV.CvEnum.BG_STAT_TYPE.GAUSSIAN_BG_MODEL);
BackgroundSubtractorMOG2 bgModel = new BackgroundSubtractorMOG2(0, 0, true);
//BackgroundSubstractorMOG bgModel = new BackgroundSubstractorMOG(0, 0, 0, 0);
capture.ImageGrabbed += delegate(object sender, EventArgs e)
{
Mat frame = new Mat();
capture.Retrieve(frame);
bgModel.Apply(frame, fgMask);
using (CvBlobDetector detector = new CvBlobDetector())
using (CvBlobs blobs = new CvBlobs())
{
detector.Detect(fgMask.ToImage<Gray, Byte>(), blobs);
blobs.FilterByArea(100, int.MaxValue);
tracks.Update(blobs, 20.0, 10, 0);
Image<Bgr, Byte> result = new Image<Bgr, byte>(frame.Size);
using (Image<Gray, Byte> blobMask = detector.DrawBlobsMask(blobs))
{
frame.CopyTo(result, blobMask);
}
//.........这里部分代码省略.........
示例2: ImageGrabbedHandler
public override void ImageGrabbedHandler(object sender, EventArgs e)
{
using (var frame = new Mat())
{
CameraCapture.Retrieve(frame);
var inputImage = frame.ToImage<Bgr, byte>();
if (radTrackingApi.Checked)
{
inputImage = DoTrackingApi(frame, inputImage);
}
else if (radCamshift.Checked)
{
var output = DoCamShift(frame, inputImage);
imageBoxProcessed.Image = output.BackProjection;
}
if (!_imageBoxSelector.SeedingRectangle.IsEmpty)
{
inputImage.Draw(_imageBoxSelector.SeedingRectangle, new Bgr(Color.Chartreuse));
}
imageBoxTracking.Image = inputImage;
}
}示例3: GetMotionInfo
private MotionInfo GetMotionInfo(Mat image)
{
Mat _forgroundMask = new Mat();
Mat _segMask = new Mat();
MotionInfo motionInfoObj = new MotionInfo();
double minArea, angle, objectCount, totalPixelCount;
double overallangle = 0;
double motionPixelCount =0;
int motionArea =0;
totalPixelCount = 0;
objectCount = 0;
minArea = 800;
if (foregroundDetector == null)
{
foregroundDetector = new BackgroundSubtractorMOG2();
}
foregroundDetector.Apply(image, _forgroundMask);
_motionHistory.Update(_forgroundMask);
ImageForeGroundMaskLast = _forgroundMask.ToImage<Bgr, byte>();
#region get a copy of the motion mask and enhance its color
double[] minValues, maxValues;
Point[] minLoc, maxLoc;
_motionHistory.Mask.MinMax(out minValues, out maxValues, out minLoc, out maxLoc);
Mat motionMask = new Mat();
using (ScalarArray sa = new ScalarArray(255.0 / maxValues[0]))
CvInvoke.Multiply(_motionHistory.Mask, sa, motionMask, 1, DepthType.Cv8U);
//Image<Gray, Byte> motionMask = _motionHistory.Mask.Mul(255.0 / maxValues[0]);
#endregion
//create the motion image
Image<Bgr, Byte> motionImage = new Image<Bgr, byte>(motionMask.Size);
//display the motion pixels in blue (first channel)
//motionImage[0] = motionMask;
CvInvoke.InsertChannel(motionMask, motionImage, 0);
//Threshold to define a motion area, reduce the value to detect smaller motion
minArea = 100;
//storage.Clear(); //clear the storage
Rectangle[] rects;
using (VectorOfRect boundingRect = new VectorOfRect())
{
_motionHistory.GetMotionComponents(_segMask, boundingRect);
rects = boundingRect.ToArray();
}
//iterate through each of the motion component
foreach (Rectangle comp in rects)
{
int area = comp.Width * comp.Height;
//reject the components that have small area;
_motionHistory.MotionInfo(_forgroundMask, comp, out angle, out motionPixelCount);
if (area < minArea) continue;
else
{
overallangle = overallangle + angle;
totalPixelCount = totalPixelCount + motionPixelCount;
objectCount = objectCount + 1;
motionArea = motionArea + area;
}
// find the angle and motion pixel count of the specific area
////Draw each individual motion in red
//DrawMotion(motionImage, comp, angle, new Bgr(Color.Red));
}
motionInfoObj.MotionArea = motionArea;
motionInfoObj.OverallAngle = overallangle;
motionInfoObj.BoundingRect = rects;
motionInfoObj.TotalMotions = rects.Length;
motionInfoObj.MotionObjects = objectCount;
motionInfoObj.MotionPixels = totalPixelCount;
averagetotalPixelCount = 0.75 * averagetotalPixelCount + 0.25 * totalPixelCount;
if ( Math.Abs(averagetotalPixelCount - totalPixelCount) / averagetotalPixelCount > 0.59)
Console.WriteLine(" GetMotionInfo - Total Motions found: " + rects.Length + "; Motion Pixel count: " + totalPixelCount);
return motionInfoObj;
}示例4: ProcessFrame
private void ProcessFrame(object sender, EventArgs arg)
{
Mat frame = new Mat();
//_capture.Retrieve(frame, 0);
frame = new Mat("C:\\Emgu\\Dump\\ea6b5b28a66c.jpg", LoadImageType.Unchanged);
Mat grayFrame = new Mat();
CvInvoke.CvtColor(frame, grayFrame, ColorConversion.Bgr2Gray);
Mat smallGrayFrame = new Mat();
CvInvoke.PyrDown(grayFrame, smallGrayFrame);
Mat smoothedGrayFrame = new Mat();
CvInvoke.PyrUp(smallGrayFrame, smoothedGrayFrame);
CvInvoke.Threshold(smoothedGrayFrame, smoothedGrayFrame, 100, 255, ThresholdType.Binary);
//Image<Gray, Byte> smallGrayFrame = grayFrame.PyrDown();
//Image<Gray, Byte> smoothedGrayFrame = smallGrayFrame.PyrUp();
Mat cannyFrame = new Mat();
CvInvoke.Canny(smoothedGrayFrame, cannyFrame, 100, 60);
//Image<Gray, Byte> cannyFrame = smoothedGrayFrame.Canny(100, 60);
VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint();
CvInvoke.FindContours(cannyFrame, contours, null, RetrType.List, ChainApproxMethod.ChainApproxSimple);
CvInvoke.DrawContours(frame, contours, 2, new Bgr(Color.Blue).MCvScalar);
List<RotatedRect> BL = new List<RotatedRect>();
List<VectorOfPoint> CL = new List<VectorOfPoint>();
for (int i = 0; i < contours.Size; i++)
{
using (VectorOfPoint contour = contours[i])
using (VectorOfPoint approxContour = new VectorOfPoint())
{
CvInvoke.ApproxPolyDP(contour, approxContour, CvInvoke.ArcLength(contour, true) * 0.05, true);
BL.Add(CvInvoke.MinAreaRect(approxContour));
CL.Add(contour);
}
}
VectorOfPoint maxContour = CL[0];
double maxContourArea = CvInvoke.ContourArea(CL[0], false);
for (int i = 0; i < CL.Count; i++)
{
if (CvInvoke.ContourArea(CL[i], false) > maxContourArea)
{
maxContourArea = CvInvoke.ContourArea(CL[i], false);
maxContour = CL[i];
}
}
RotatedRect TMP = new RotatedRect();
TMP = CvInvoke.MinAreaRect(maxContour);
CvInvoke.Polylines(frame, Array.ConvertAll(TMP.GetVertices(), Point.Round), true, new Bgr(Color.Pink).MCvScalar, 2);
Image<Bgr, Byte> srcImg = frame.ToImage<Bgr, Byte>();
srcImg.ROI = new Rectangle((int)(TMP.Center.X - 0.5 * TMP.Size.Width), (int)(TMP.Center.Y - 0.5 * TMP.Size.Height), (int)TMP.Size.Width, (int)TMP.Size.Height);
Image<Bgr, Byte> croppedImg = srcImg.Copy();
cannyImageBox.Image = croppedImg;
float[,] tmp = {
{0, frame.Height}, //down
{0, 0},//left
{frame.Width, 0}, // up
{frame.Width, frame.Height} //right
};
Matrix<float> sourceMat = new Matrix<float>(tmp);
float[,] target = {
{0, (float)0.85 * frame.Height},
{0, 0},
{(float)0.85*frame.Width, 0},
{(float)0.55*frame.Width, (float)0.55*frame.Height}
};
PointF[] tmpPF = new PointF[4];
PointF[] targetPF = new PointF[4];
for (int i = 0; i < 4; i++)
{
tmpPF[i].X = tmp[i, 0]; tmpPF[i].Y = tmp[i, 1];
targetPF[i].X = target[i, 0]; targetPF[i].Y = target[i, 1];
}
Matrix<float> targetMat = new Matrix<float>(target);
Mat TTT = CvInvoke.GetPerspectiveTransform(tmpPF, targetPF);
Mat newcroppimg = new Mat();
CvInvoke.WarpPerspective(croppedImg, newcroppimg, TTT, new System.Drawing.Size(241, 240));
//CvInvoke.DrawContours(frame, TMP, 2, new Bgr(Color.Red).MCvScalar);
/*
foreach (RotatedRect box in BL)
{
CvInvoke.Polylines(frame, Array.ConvertAll(box.GetVertices(), Point.Round), true, new Bgr(Color.DarkOrange).MCvScalar, 2);
}*/
captureImageBox.Image = frame;
grayscaleImageBox.Image = newcroppimg;
smoothedGrayscaleImageBox.Image = smoothedGrayFrame;
//cannyImageBox.Image = cannyFrame;
}