如何从图像中检测物体数量？

Question

I have a windows forms application and i want to count number of objects from a medical images. For instance

I used an algorithm which can take the contours of every object from the image.

private void findContoursToolStripMenuItem_Click(object sender, EventArgs e)
    {
        Image<Gray, byte> imgOutput = imgInput.Convert<Gray, byte>().ThresholdBinary(new Gray(100), new Gray(255));
        Emgu.CV.Util.VectorOfVectorOfPoint contours = new Emgu.CV.Util.VectorOfVectorOfPoint();
        Mat hier = new Mat();

        Image<Gray, byte> imgout = new Image<Gray, byte>(imgInput.Width, imgInput.Height, new Gray(100));

        CvInvoke.FindContours(imgOutput, contours, hier, Emgu.CV.CvEnum.RetrType.External, Emgu.CV.CvEnum.ChainApproxMethod.ChainApproxSimple);
        CvInvoke.DrawContours(imgout, contours, -1, new MCvScalar(123, 0, 0));

        pictureBox2.Image = imgout.Bitmap;

    } 

But I can't find out the number of cells from the image. Any advice or algorithm I have to use ?

I search within EMGU documentation but I don't find any function which does somethink like I want.

Any advice or answer will be rewarded.

If you consider that is too broad, I don't want the implemented algorithm. I just need some ideas or a suggestion of algorithm i have to use.

Answer 1

这可能有点基础和蛮力，但是如何在图像上选择接近绿色的随机点，然后有效地搜索“匹配”颜色（对相同颜色具有容忍度。当您访问每个像素时，将其涂成黑色，这样您就无需再查看它并计算已着色的像素数。每次选择一个像素时，请确保它不是黑色的。一旦找不到更多的点，如果黑色的数量像素大于公差（因此您只能找到“大”多边形），然后将其计入像元数。