本文整理匯總了C#中System.Image.InRange方法的典型用法代碼示例。如果您正苦於以下問題：C# Image.InRange方法的具體用法？C# Image.InRange怎麽用？C# Image.InRange使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類System.Image的用法示例。
在下文中一共展示了Image.InRange方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的C#代碼示例。
示例1: InRange
public Image<Gray, byte> InRange(Image<Bgr, byte> image)
{
return image.InRange((Bgr)Min, (Bgr)Max);
}示例2: detectHair
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");
//.........這裏部分代碼省略.........