using System;

 using OpenCvSharp;

 using OpenCvSharp.Extensions;

 using OpenCvSharp.XFeatures2D;

 using static OpenCvSharp.Cv2;

 namespace Mycv

 {

     public class cvGO

     {

          /// <summary>

         /// 分割颜色得到面积占比的大小

         /// </summary>

         /// <param name="srcbmp">原图</param>

         /// <param name="dstbmp">结果图</param>

         /// <param name="value_Low">最低值RGB(0-255) ([0]:R,[1]:G,[2]:B)这里用一个长度为3的数组存放最低RGB值</param>

         /// <param name="value_High">最高值RGB(0-255)([0]:R,[1]:G,[2]:B)这里用一个长度为3的数组存放最高RGB值 </param>

         public float Color_Inrange(Bitmap srcbmp, out Bitmap dstbmp, int[] value_Low, int[] value_High)

         {

             //bitmap转mat

             using (Mat src = BitmapConverter.ToMat(srcbmp))

             using (Mat dst = new Mat())

             {

                 //根据传进来的2个数组新建两个Scalar

                 Scalar cvL = new Scalar(value_Low[], value_Low[], value_Low[]);

                 Scalar cvH = new Scalar(value_High[], value_High[], value_High[]);

                 //这一步就是颜色分割

                 InRange(src, cvL, cvH, dst);

                 //Inrange的时候已经给dst赋值了，这里是mat转bitmap

                 dstbmp = dst.ToBitmap();

                 //用CountNonZero来得到面积，然后再计算占比并返回这个值

                 return (CountNonZero(dst) / (src.Width * src.Height * 1.0f) * );

             }

         }

     }

 }