private void CaptureCameraCallback()
{
// capture = new VideoCapture();
// capture.Open(0);//
Mat frame = new Mat();
Mat imageout = new Mat();
Mat[] planes;
//Vec3b color = new Vec3b();//新建vec3b的对象,
var capture = new VideoCapture(0);
//capture.Set(CaptureProperty.Settings, 1);
//capture.Set(CaptureProperty.Brightness, 150);
capture.Set(CaptureProperty.Exposure, -1000);//曝光 50
capture.Set(CaptureProperty.IOS_DeviceExposure, -1000);
while(true)
{
capture.Read(frame);
//Mat source = new Mat("image.jpg", ImreadModes.Grayscale);
Invalidate();pictureBox1.Invalidate();
// Cv2.Canny(frame,imageout, 50, 200); //edge get
// for (int i = 240; i < 400; i++)
// { frame.Set(i, 320, 100); }
//空心圆
Cv2.Circle(frame, //目标图像
new OpenCvSharp.Point(320, 240), //中心点坐标
5, //半径
Scalar.YellowGreen); //颜色
//Cv2.CvtColor(frame, imageout, ColorConversionCodes.BGRA2GRAY);
Cv2.Split(frame, out planes);//通道分离
// cv2.split函数分离得到各个通道的灰度值(单通道图像)。cv2.merge函数是合并单通道成多通道（不能合并多个多通道图像）。
//byte gray = imageout.Get<byte>(320, 240); //这里AT函数和GET一样只能获取值
//byte B = (byte)Math.Abs(frame.Get<Vec3b>(240, 320).Item0);//B读取原来的通道值 color.Item0
//byte G = (byte)Math.Abs(frame.Get<Vec3b>(240, 320).Item1);//G读取原来的通道值 color.Item1
//byte R = (byte)Math.Abs(frame.Get<Vec3b>(240, 320).Item2);//R读取原来的通道值 color.Item2
byte B = (byte)Math.Abs(planes[0].Get<Vec3b>(240, 320).Item0);//B读取原来的通道值 color.Item0
byte G = (byte)Math.Abs(planes[1].Get<Vec3b>(240, 320).Item1);//G读取原来的通道值 color.Item1
byte R = (byte)Math.Abs(planes[2].Get<Vec3b>(240, 320).Item2);//R读取原来的通道值 color.Item2
//byte colorvalue = (byte)Math.Abs(frame.Get<byte>(320, 240));//读取原来的通道值
Cv2.PutText(frame,
"B"+B.ToString() + " " + "G"+G.ToString() + " " + "R"+R.ToString(), //字符串
// gray.ToString(),
new OpenCvSharp.Point(0, 80), //位置，注意这是字符串左下角的位置
HersheyFonts.HersheyDuplex, //字体类型
2, //字体大小
Scalar.Green); //颜色
// Cv2.Flip(frame, imageout, FlipMode.XY);//XY翻转图片source到dst中
// # 分别扩展B、G、R成为三通道。另外两个通道用上面的值为0的数组填充
// cv2.imshow("Blue", cv2.merge([B, zeros, zeros]))
// cv2.imshow("Green", cv2.merge([zeros, G, zeros]))
// cv2.imshow("Red", cv2.merge([zeros, zeros, R]))
//Cv2.BitwiseNot(planes[1], planes[1]); // Invert G plane
image = BitmapConverter.ToBitmap(frame);//Mat conver to Bitmap
//image = BitmapConverter.ToBitmap(frame);
//Shown on pictureBox1
try {
pictureBox1.Image = image;
}
catch (Exception err)//一般情况下关闭串口不会出错，所以不需要加处理程序
{
MessageBox.Show(err.ToString());
}
image = null;
Thread.Sleep(20);
}
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