C# Mat.height方法代码示例

        private void loadToolStripMenuItem_Click(object sender, EventArgs e)
        {
            if(openFileDialog1.ShowDialog() == DialogResult.OK)
            {
                //Get the original img Mat
                Mat originalImage = new Mat(openFileDialog1.FileName, LoadImageType.Color);

                //Load the original image
                imageBox1.Image = originalImage;

                //Get gray image
                Mat grayImg = new Mat();
                CvInvoke.CvtColor(originalImage, grayImg, ColorConversion.Bgr2Gray);

                //Create paisage
                Mat illustratedImg = gradientFill(new Size(originalImage.width(), originalImage.height()));

                //Show gray image
                imageBox3.Image = grayImg;

                Mat featureImage = originalImage.Clone();

                //Run face detector on the image
                ArrayList<PersonFace> personFaces = faceDetector.Detect(featureImage);

                Mat hairImage = originalImage.Clone();

                foreach (PersonFace personFace in personFaces)
                {
                    personFace.Evaluate();

                    if (!personFace.IsValid())
                        continue;

                    drawFaceRectangles(personFace, originalImage.Clone());

                    detectSkinColor(personFace, originalImage.Clone());

                    //detectHair(personFace, hairImage);

                    drawFaceFeatures(personFace, illustratedImg);

                    //----- Begin Histogram Tests ---------------

                    /*DenseHistogram hist = new DenseHistogram(256, new RangeF(0, 255));

                    Image<Gray, byte>[] imgComponents = testImg.Split();

                    //Get blue components
                    hist.Calculate(new Image<Gray, byte>[] { imgComponents[0] }, false, null);
                    float[] blueBins = hist.GetBinValues();

                    //Get green components
                    hist.Calculate(new Image<Gray, byte>[] { imgComponents[1] }, false, null);
                    float[] greenBins = hist.GetBinValues();

                    //Get red components
                    hist.Calculate(new Image<Gray, byte>[] { imgComponents[2] }, false, null);
                    float[] redBins = hist.GetBinValues();

                    double blueMean = 0;
                    for (int i = 0; i < blueBins.Length; i++)
                    {
                        blueMean += i * blueBins[i];
                    }

                    blueMean /= testImg.Width * testImg.Height;

                    double greenMean = 0;
                    for (int i = 0; i < greenBins.Length; i++)
                    {
                        greenMean += i * greenBins[i];
                    }

                    greenMean /= testImg.Width * testImg.Height;

                    double redMean = 0;
                    for (int i = 0; i < redBins.Length; i++)
                    {
                        redMean += i * redBins[i];
                    }

                    redMean /= testImg.Width * testImg.Height;

                    Scalar skinColor = new Scalar(
                        Math.Round(blueMean),
                        Math.Round(greenMean),
                        Math.Round(redMean));

                    setColorBox((byte)Math.Round(redMean),
                        (byte)Math.Round(greenMean),
                        (byte)Math.Round(blueMean));*/

                    //MessageBox.Show(redMean + " " + greenMean + " " + blueMean);

                    /*testImg.ROI = default(System.Drawing.Rectangle);

                    int[] blueValues = getMinMaxBins(blueBins);
                    int[] greenValues = getMinMaxBins(greenBins);
                    int[] redValues = getMinMaxBins(redBins);*/
//.........这里部分代码省略.........

        void detectHair(PersonFace personFace, Mat hairImage)
        {
            Rect faceRect = personFace.GetFace();

            double adjWidth = faceRect.width * 0.85;
            double adjHeight = faceRect.height * 1.2;
            double adjX = faceRect.x + (faceRect.width - adjWidth) / 2;
            double adjY = faceRect.y + (faceRect.height - adjHeight) / 2;

            Rect adjFaceRect = new Rect((int)adjX, (int)adjY, (int)adjWidth, (int)adjHeight);

            double[] faceLineData = personFace.GetFaceLineData();
            PointGenerator faceLine = new PointGenerator(faceLineData[0], faceLineData[1]);
            Point faceTopPoint = faceLine.GetFromY(adjFaceRect.y);
            Point faceBottomPoint = faceLine.GetFromY(adjFaceRect.y + adjFaceRect.height);

            //Draw face line
            //Imgproc.line(hairImage, faceTopPoint, faceBottomPoint, new Scalar(255, 0, 0), 2);

            //Get face feature angle
            double faceFeatureAngle = Math.Atan(faceLineData[0]);
            faceFeatureAngle = RadianToDegree(faceFeatureAngle);
            faceFeatureAngle += faceFeatureAngle > 0 ? -90 : 90;

            //Imgproc.rectangle(hairImage, adjFaceRect, new Scalar(0, 255, 255), 2);

            /*Imgproc.ellipse(hairImage,
                new Point(adjFaceRect.x + adjFaceRect.width / 2, adjFaceRect.y + adjFaceRect.height / 2),
                new Size(adjFaceRect.width/2, adjFaceRect.height/2), faceFeatureAngle, 0, 360, new Scalar(255, 0, 0), 2);

            Imgproc.ellipse(hairImage,
                new Point(adjFaceRect.x + adjFaceRect.width / 2, adjFaceRect.y + adjFaceRect.height / 2),
                new Size((int)(adjFaceRect.width / 1.8), (int)(adjFaceRect.height / 1.8)), faceFeatureAngle, 0, 360, new Scalar(255, 0, 0), 2);*/

            Mat[] imgComponents = hairImage.Split();

            for (int i = 0; i < 5; i++)
            {
                double factor = 1.8 - i * 0.2;

                Mat maskImage = new Image<Gray, byte>(hairImage.width(), hairImage.height(), new Gray(0)).Mat;

                Imgproc.ellipse(maskImage,
                    new Point(adjFaceRect.x + adjFaceRect.width / 2, adjFaceRect.y + adjFaceRect.height / 2),
                    new Size((int)(adjFaceRect.width / factor), (int)(adjFaceRect.height / factor)), faceFeatureAngle + 180, 0, 180, new Scalar(255), -1);

                Imgproc.ellipse(maskImage,
                    new Point(adjFaceRect.x + adjFaceRect.width / 2, adjFaceRect.y + adjFaceRect.height / 2),
                    new Size(adjFaceRect.width / 2, adjFaceRect.height / 2), faceFeatureAngle, 0, 360, new Scalar(0), -1);

                //imageBox13.Image = maskImage;

                Mat testImg = new Mat();

                hairImage.CopyTo(testImg, maskImage);

                imageBox13.Image = testImg;

                Stack<string> titleStack = new Stack<string>();
                titleStack.Push("Red");
                titleStack.Push("Green");
                titleStack.Push("Blue");

                HistogramForm histForm = new HistogramForm();

                foreach (Mat img in imgComponents)
                {
                    //try histogram only the upper half to detect the most probable hair color range

                    Mat hist = new Mat();
                    CvInvoke.CalcHist(new VectorOfMat(img), new int[] { 0 }, maskImage, hist, new int[] { 256 }, new float[] { 0, 255 }, false);

                    string color = titleStack.Pop();

                    histForm.AddHist(hist, color, System.Drawing.Color.FromName(color));

                    /*byte[] testBuffer = new byte[256];
                    hist.CopyTo(testBuffer);

                    string msg = "";

                    foreach (byte value in testBuffer)
                        msg += value + " ";

                    msg += Environment.NewLine;
                    msg += Environment.NewLine;

                    textBox1.AppendText(msg);*/

                }

                histForm.Show(i.ToString());

            }

            Image<Bgr, byte> testImg2 = new Image<Bgr, byte>(hairImage.Bitmap);

            imageBox13.Image = testImg2.InRange(new Bgr(25, 25, 25), new Bgr(100, 85, 100));

            //createHistogram(new Image<Bgr, byte>(maskImage.Bitmap), 256, "teste");
//.........这里部分代码省略.........

        void drawFaceFeatures(PersonFace personFace, Mat illustratedImg)
        {
            Rect faceRect = personFace.GetFace();
            Rect mouthRect = personFace.GetMouth();
            Rect noseRect = personFace.GetNose();
            Rect[] eyesRects = personFace.GetEyes();

            //Draw face division line
            double[] faceLineData = personFace.GetFaceLineData();
            PointGenerator faceLine = new PointGenerator(faceLineData[0], faceLineData[1]);
            Point faceTopPoint = faceLine.GetFromY(faceRect.y);
            Point faceBottomPoint = faceLine.GetFromY(faceRect.y + faceRect.height);

            //Imgproc.line(illustratedImg, faceTopPoint, faceBottomPoint, new Scalar(255, 0, 0), 1);

            //Get face feature angle
            double faceFeatureAngle = Math.Atan(faceLineData[0]);
            faceFeatureAngle = RadianToDegree(faceFeatureAngle);
            faceFeatureAngle += faceFeatureAngle > 0 ? -90 : 90;

            //Draw face lateral boundaries lines
            //Detect right and left eye
            Rect rightEye, leftEye;
            if (eyesRects[0].x > eyesRects[1].x)
            {
                rightEye = eyesRects[1];
                leftEye = eyesRects[0];
            }
            else
            {
                rightEye = eyesRects[0];
                leftEye = eyesRects[1];
            }

            //get eye line generator
            PointGenerator eyeLines = new PointGenerator(
                getRectCenter(rightEye), getRectCenter(leftEye));

            Point leftFacePoint = eyeLines.GetFromX(getRectCenter(leftEye).x + leftEye.width);
            Point rightFacePoint = eyeLines.GetFromX(getRectCenter(rightEye).x - rightEye.width);

            /* CvInvoke.Circle(image, leftFacePoint, 20,
                 new Bgr(Color.Green).MCvScalar, -1);

             CvInvoke.Circle(image, rightFacePoint, 20,
                 new Bgr(Color.Blue).MCvScalar, -1);*/

            //Get line generators for each side of the face
            double faceLineSlope = faceLineData[0];

            //Left side
            double leftFaceSideOffset = leftFacePoint.y - leftFacePoint.x * faceLineSlope;
            PointGenerator leftFaceLine = new PointGenerator(faceLineSlope, leftFaceSideOffset);

            Point startPointL = leftFaceLine.GetFromY(0);
            Point endPointL = leftFaceLine.GetFromY(illustratedImg.Height);

            //Right side
            double rightFaceSideOffset = rightFacePoint.y - rightFacePoint.x * faceLineSlope;
            PointGenerator rightFaceLine = new PointGenerator(faceLineSlope, rightFaceSideOffset);

            Point startPointR = rightFaceLine.GetFromY(0);
            Point endPointR = rightFaceLine.GetFromY(illustratedImg.Height);

            //Imgproc.line(illustratedImg, startPointL, endPointL, new Scalar(0,255,0), 5);
            //Imgproc.line(illustratedImg, startPointR, endPointR,new Scalar(255,0,0), 3);

            //Draw mouth line
            //Put center on the top for the mouth stay in the middle of the mouth square
            Point mouthCenter = new Point(mouthRect.x + mouthRect.width / 2, mouthRect.y);
            Size mouthSize = new Size(mouthRect.width / 2, mouthRect.height / 2);

            Point mCenter = getRectCenter(mouthRect);

            //Get mouth line generator
            double aFactMouth = Math.Tan(Math.Atan(faceLineSlope) + Math.PI / 2);
            double bfactMouth = mCenter.y - mCenter.x * aFactMouth;
            PointGenerator mouthLine = new PointGenerator(aFactMouth, bfactMouth);

            double leftFaceMouthCrossX = (bfactMouth - leftFaceSideOffset) /
                (faceLineSlope - aFactMouth);

            double rightFaceMouthCrossX = (bfactMouth - rightFaceSideOffset) /
                (faceLineSlope - aFactMouth);

            Point leftFaceMouthCross = mouthLine.GetFromX(leftFaceMouthCrossX);
            Point rightFaceMouthCross = mouthLine.GetFromX(rightFaceMouthCrossX);

            //Get face top line
            double afactTopFace = aFactMouth;   //use the mouth line since this uses the same slope
            double bfactTopFace = faceTopPoint.y - faceTopPoint.x * afactTopFace;
            PointGenerator faceTopLine = new PointGenerator(afactTopFace, bfactTopFace);

            double leftTopFaceCrossX = (bfactTopFace - leftFaceSideOffset) /
                 (faceLineSlope - afactTopFace);

            double rightTopFaceCrossX = (bfactTopFace - rightFaceSideOffset) /
                (faceLineSlope - afactTopFace);

            Point leftTopFaceCross = faceTopLine.GetFromX(leftTopFaceCrossX);
//.........这里部分代码省略.........