本文整理汇总了C#中Mat.Threshold方法的典型用法代码示例。如果您正苦于以下问题：C# Mat.Threshold方法的具体用法？C# Mat.Threshold怎么用？C# Mat.Threshold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.Threshold方法的3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: CvBlobsSample
private static void CvBlobsSample()
{
var src = new Mat("data/shapes.png", ImreadModes.GrayScale);
var bin = src.Threshold(0, 255, ThresholdTypes.Otsu);
var view = bin.CvtColor(ColorConversionCodes.GRAY2BGR);
var blobs = new CvBlobs(bin);
blobs.RenderBlobs(bin, view, RenderBlobsMode.Angle | RenderBlobsMode.BoundingBox | RenderBlobsMode.Color);
Window.ShowImages(bin, view);
}示例2: DoTracking
// FaceTracking
void DoTracking()
{
//while (running)
//{
try
{
if (kinect.GetDepthRaw())
{
//lock (this)
//{
src = DoDepthBuffer(kinect.usersDepthMap, KinectWrapper.GetDepthWidth(), KinectWrapper.GetDepthHeight());
roi = src.Clone(new OpenCvSharp.CPlusPlus.Rect(roiX, roiY, roiW, roiH));
roi.ConvertTo(roi, OpenCvSharp.CPlusPlus.MatType.CV_8U, 255.0 / 32000.0);
Cv2.Subtract(new Mat(roiH, roiW, MatType.CV_8UC1, new Scalar(255)), roi, roi);
double threshMax = 255.0 - ((255.0 / 32000.0) * ((ushort)srcThreshMax << 3));
double threshMin = 255.0 - ((255.0 / 32000.0) * ((ushort)srcThreshMin << 3));
roi = roi.Threshold(threshMin, 255.0, ThresholdType.ToZeroInv);
roi = roi.Threshold(threshMax, 255.0, ThresholdType.ToZero);
// Flip up/down dimension and right/left dimension
if (!FlipUpDownAxis && FlipLeftRightAxis)
roi.Flip(FlipMode.XY);
else if (!FlipUpDownAxis)
roi.Flip(FlipMode.X);
else if (FlipLeftRightAxis)
roi.Flip(FlipMode.Y);
//Apply ellliptical mask
Mat ellipseMask = new Mat(roi.Rows, roi.Cols, OpenCvSharp.CPlusPlus.MatType.CV_8U, new Scalar(0.0));
Cv2.Ellipse(ellipseMask, new Point(ellipseMaskCenterX, ellipseMaskCenterY), new Size(axisMaskX, axisMaskY), maskAngle, maskStartAngle, maskEndAngle, new Scalar(255.0), -1);
Cv2.BitwiseAnd(roi, ellipseMask, roi);
//Remove noise by morphologyEx
Mat kernel = Cv2.GetStructuringElement(StructuringElementShape.Ellipse, new Size(3, 3));
Cv2.MorphologyEx(roi, roi, MorphologyOperation.Open, kernel);
Cv2.MorphologyEx(roi, roi, MorphologyOperation.Close, kernel);
//Subtract background
if (first)
{
bg = roi.Clone();
//bg = bg.Blur(new Size(smoothBlur, smoothBlur));
first = false;
}
fg = bg.Clone();
//roi = roi.Blur(new Size(smoothBlur, smoothBlur));
Mat subMask = roi.Clone();
subMask = subMask.Threshold(smThresh, 255.0, ThresholdType.ToZero);
//Cv2.ImShow("sm",subMask);
bg.CopyTo(roi, subMask);
OpenCvSharp.Cv.AbsDiff(roi.ToCvMat(), bg.ToCvMat(), fg.ToCvMat());
//Threshold foreground image
fgthresh = fg.Threshold(threshold, 255.0, ThresholdType.Binary);
fgthresh = fgthresh.Blur(new Size(smoothBlur, smoothBlur));
//Detect Blobs
Mat roiToImg = new Mat(roi.Cols, roi.Rows, MatType.CV_8UC3);
Mat threshToImg = fgthresh.Clone();
Cv2.Merge(new Mat[] { roi, roi, roi }, roiToImg);
IplImage showImg = roiToImg.ToIplImage();
IplImage fgthreshImg = threshToImg.ToIplImage();
OpenCvSharp.Blob.CvBlobLib.Label(fgthreshImg, blobs);
OpenCvSharp.Blob.CvBlobLib.FilterByArea(blobs, blobMinArea, blobMaxArea);
OpenCvSharp.Blob.CvBlobLib.RenderBlobs(blobs, fgthreshImg, showImg, RenderBlobsMode.Color | RenderBlobsMode.Centroid);
UpdateTracks(blobs, tracks, blobMinDistance, blobMaxLife);
//OpenCvSharp.Blob.CvBlobLib.RenderTracks(tracks, fgthreshImg, showImg, RenderTracksMode.BoundingBox | RenderTracksMode.Id);
RenderTracks(showImg);
//Cv.ShowImage("thres", fgthreshImg);
Cv.ShowImage("showBlob", showImg);
//Check Blob Actions
//Debug.Log(tracks.Count);
//}
}
}
catch (System.Exception e)
{
//throw e;
Debug.Log(e.Message + " " + e.StackTrace);
}
//}
}示例3: DetectBallView
static Mat DetectBallView(Mat s, Mat h)
{
//Console.WriteLine(mat);
//Console.WriteLine("{0}:{1}", mat.Width, mat.Height);
//Console.WriteLine("{0}, {1}, {2}", mat.Step(0), mat.Step(), mat.Step(1));
//return;
const int ballWidth = 36;
var balls = DetectBalls(s, h, ballWidth);
var detectM = QuickDetectBalls_Field(s.Threshold(20, 255, ThresholdType.Binary), ballWidth);
if (true)
{
var debugMat = new Mat();
Cv2.CvtColor(s, debugMat, ColorConversion.GrayToRgb);
const int ballWidth_3 = ballWidth / 3;
var detectCount = 0;
var allDetectCount = 0;
for (var y = 0; y < detectM.GetLength(1); ++y)
for (var x = 0; x < detectM.GetLength(0); ++x)
{
if (detectM[x, y] > 0.8 * ballWidth_3 * ballWidth_3)
{
debugMat.Circle(x * ballWidth_3 + ballWidth_3 / 2, y * ballWidth_3 + ballWidth_3 / 2, 2, Color.LightGreen.ToScalar(), -1);
detectCount++;
}
allDetectCount++;
}
foreach (var ball in balls)
{
debugMat.Circle(ball.Point.X, ball.Point.Y, ballWidth / 2, Color.Orange.ToScalar(), thickness: 1);
debugMat.PutText(ball.H.ToString(), new OpenCvSharp.CPlusPlus.Point(ball.Point.X - ballWidth / 4, ball.Point.Y), FontFace.HersheySimplex, 0.5, Color.Red.ToScalar());
}
if (true)
{
var p = new Point(400, 150);
var center = new Point(400, 300);
var resPoint = RotatePointAroundCenter(p, center, 90);
var resPoint2 = RotatePointAroundCenter(p, center, 45);
var resPoint3 = RotatePointAroundCenter(p, center, 135);
debugMat.Circle(resPoint.X, resPoint.Y, 3, Color.LightBlue.ToScalar(), -1);
debugMat.Circle(resPoint2.X, resPoint2.Y, 3, Color.LightBlue.ToScalar(), -1);
debugMat.Circle(resPoint3.X, resPoint3.Y, 3, Color.LightBlue.ToScalar(), -1);
debugMat.Circle(center.X, center.Y, 3, Color.LightBlue.ToScalar(), -1);
debugMat.Circle(p.X, p.Y, 3, Color.LightBlue.ToScalar(), -1);
}
Console.WriteLine("detect count: {0}%", 100 * detectCount / allDetectCount);
debugMat.ImWrite("q.bmp");
return debugMat;
}
}