Metis_xctg/Adjust/BaseImage/BaseTools.cs

using OpenCvSharp;
using System;
using System.Collections.Generic;
using System.Drawing;
using System.Drawing.Imaging;
using System.Linq;
using System.Runtime.InteropServices;
using System.Text;
using System.Threading.Tasks;

namespace PaintDotNet.Adjust.BaseImage
{
    /// <summary>
    /// 图像处理基本工具
    /// </summary>
    public static class BaseTools
    {
        public static int[] table =
		//0,1,2,3,4,5,6,7,8,9,0,1,2,3,4,5,6,7,8,9,0,1,2,3,4,5,6,7,8,9,0,1
		 {0,0,0,0,0,0,1,3,0,0,3,1,1,0,1,3,0,0,0,0,0,0,0,0,0,0,2,0,3,0,3,3,
          0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,3,0,2,2,
          0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
          2,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,3,0,0,0,0,0,0,0,3,0,0,0,3,0,2,0,
          0,0,3,1,0,0,1,3,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,
          3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
          2,3,1,3,0,0,1,3,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
          2,3,0,1,0,0,0,1,0,0,0,0,0,0,0,0,3,3,0,1,0,0,0,0,2,2,0,0,2,0,0,0};

        // 2013/12/02: 16,6 2->0
        // 2013/12/02: 24,5 0->2
        public static int[] table2 =
             //0,1,2,3,4,5,6,7,8,9,0,1,2,3,4,5,6,7,8,9,0,1,2,3,4,5,6,7,8,9,0,1
             {0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,2,2,0,0,0,0,
              0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,2,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,
              0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
              0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
              0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,
              0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,
              0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
              0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};

        /// <summary>
        /// 创建一个高斯滤波核
        /// </summary>
        /// <param name="radius">半径</param>
        /// <returns>kernel</returns>
        public static Kernel CreateKernel(float radius)
        {
            var r = (int)Math.Ceiling(radius);
            int rows = r * 2 + 1;
            var matrix = new float[rows];
            float sigma = radius / 3;
            float sigma22 = 2 * sigma * sigma;
            var sigmaPi2 = (float)(2 * Math.PI * sigma);
            var sqrtSigmaPi2 = (float)Math.Sqrt(sigmaPi2);
            float radius2 = radius * radius;
            float total = 0;
            int index = 0;

            for (int row = -r; row <= r; row++)
            {
                float distance = row * row;
                if (distance > radius2)
                    matrix[index] = 0;
                else
                    matrix[index] = (float)Math.Exp(-(distance) / sigma22) / sqrtSigmaPi2;
                total += matrix[index];
                index++;
            }

            for (int i = 0; i < rows; i++)
            {
                matrix[i] /= total;
            }

            return new Kernel(rows, 1, matrix);
        }

        /// <summary>
        /// Blur and transpose a block of ARGB pixels.
        /// </summary>
        /// <param name="kernel"></param>
        /// <param name="inPixels"></param>
        /// <param name="outPixels"></param>
        /// <param name="width"></param>
        /// <param name="height"></param>
        /// <param name="alpha"></param>
        /// <param name="premultiply"></param>
        /// <param name="unpremultiply"></param>
        /// <param name="edgeAction"></param>
        public static void ConvolveAndTranspose(Kernel kernel, int[] inPixels, int[] outPixels, int width, int height, bool alpha, bool premultiply, bool unpremultiply, int edgeAction)
        {
            float[] matrix = kernel.GetKernel();
            int cols = kernel.Width;
            int cols2 = cols / 2;

            for (int y = 0; y < height; y++)
            {
                int index = y;
                int ioffset = y * width;
                for (int x = 0; x < width; x++)
                {
                    float r = 0, g = 0, b = 0, a = 0;
                    int moffset = cols2;
                    for (int col = -cols2; col <= cols2; col++)
                    {
                        float f = matrix[moffset + col];

                        if (f != 0)
                        {
                            int ix = x + col;
                            if (ix < 0)
                            {
                                if (edgeAction == 1)
                                    ix = 0;
                                else if (edgeAction == 2)
                                    ix = (x + width) % width;
                            }
                            else if (ix >= width)
                            {
                                if (edgeAction == 1)
                                    ix = width - 1;
                                else if (edgeAction == 2)
                                    ix = (x + width) % width;
                            }
                            int rgb = inPixels[ioffset + ix];
                            int pa = (rgb >> 24) & 0xff;
                            int pr = (rgb >> 16) & 0xff;
                            int pg = (rgb >> 8) & 0xff;
                            int pb = rgb & 0xff;
                            if (premultiply)
                            {
                                float a255 = pa * (1.0f / 255.0f);
                                pr = (int)(pr * a255);
                                pg = (int)(pg * a255);
                                pb = (int)(pb * a255);
                            }
                            a += f * pa;
                            r += f * pr;
                            g += f * pg;
                            b += f * pb;
                        }
                    }
                    if (unpremultiply && a != 0 && a != 255)
                    {
                        float f = 255.0f / a;
                        r *= f;
                        g *= f;
                        b *= f;
                    }

                    int ff = (int)(a + 0.5);
                    if (ff > 255) ff = 255;
                    if (ff < 0) ff = 0;

                    int ia = alpha ? ff : 0xff;

                    int ir = (int)(r + 0.5);
                    if (ir > 255) ir = 255;
                    if (ir < 0) ir = 0;

                    int ig = (int)(g + 0.5);
                    if (ig > 255) ig = 255;
                    if (ig < 0) ig = 0;

                    int ib = (int)(b + 0.5);
                    if (ib > 255) ib = 255;
                    if (ib < 0) ib = 0;

                    outPixels[index] = (ia << 24) | (ir << 16) | (ig << 8) | ib;
                    index += height;
                }
            }
        }

        /// <summary>
        /// 参考https://blog.csdn.net/ls9512/article/details/50001753
        /// RgbToHsv
        /// </summary>
        /// <param name="prgb"></param>
        /// <param name="H"></param>
        /// <param name="S"></param>
        /// <param name="V"></param>
        public static void RgbToHsv(Vec3b prgb, out double H, out double S, out double V)
        {
            float min, max, tmp;
            float R = prgb[2] * 1.0f / 255, G = prgb[1] * 1.0f / 255, B = prgb[0] * 1.0f / 255;
            tmp = Math.Min(R, G);
            min = Math.Min(tmp, B);
            tmp = Math.Max(R, G);
            max = Math.Max(tmp, B);
            // H
            H = 0;
            if (max == min)
            {
                H = 0;
            }
            else if (max == R && G > B)
            {
                H = 60 * (G - B) * 1.0f / (max - min) + 0;
            }
            else if (max == R && G < B)
            {
                H = 60 * (G - B) * 1.0f / (max - min) + 360;
            }
            else if (max == G)
            {
                H = H = 60 * (B - R) * 1.0f / (max - min) + 120;
            }
            else if (max == B)
            {
                H = H = 60 * (R - G) * 1.0f / (max - min) + 240;
            }
            // S
            if (max == 0)
            {
                S = 0;
            }
            else
            {
                S = (max - min) * 1.0f / max;
            }
            // V
            V = max;
            //return new ColorHSV((int)H, (int)(S * 255), (int)(V * 255));
        }

        public static void RGBtoHLS(Vec3b prgb, out double H, out double L, out double S)
        {
            double n_cmax = Math.Max(prgb[0], Math.Max(prgb[1], prgb[2]));
            double n_cmin = Math.Min(prgb[0], Math.Min(prgb[1], prgb[2]));

            L = (n_cmax + n_cmin) / 2.0 / 255.0;
            if (n_cmax == n_cmin)
            {
                S = H = 0.0;
                return;
            }

            double r = prgb[2] / 255.0;
            double g = prgb[1] / 255.0;
            double b = prgb[0] / 255.0;
            double cmax = n_cmax / 255.0;
            double cmin = n_cmin / 255.0;
            double delta = cmax - cmin;

            if (L < 0.5)
                S = delta / (cmax + cmin);
            else
                S = delta / (2.0 - cmax - cmin);

            if (prgb[2] == n_cmax)
                H = (g - b) / delta;
            else if (prgb[1] == n_cmax)
                H = 2.0 + (b - r) / delta;
            else
                H = 4.0 + (r - g) / delta;
            H /= 6.0;
            if (H < 0.0)
                H += 1.0;
        }

        public static Vec3b HLStoRGB(double H, double L, double S)
        {
            if (S < 1.19209290E-07F)//== 0
            {
                Vec3b r = new Vec3b();
                r[0] = (byte)(L * 255);
                r[1] = (byte)(L * 255);
                r[2] = (byte)(L * 255);
                return r;
            }

            double m1, m2;
            if (L < 0.5)
                m2 = L * (1.0 + S);
            else
                m2 = L + S - L * S;
            m1 = 2.0 * L - m2;

            Vec3b r1 = new Vec3b();
            r1[2] = (byte)(__HLS_Value(m1, m2, H * 6.0 + 2.0) * 255);
            if (r1[2] < 0) r1[2] = 0; if (r1[2] > 255) r1[2] = 255;
            r1[1] = (byte)(__HLS_Value(m1, m2, H * 6.0) * 255);
            if (r1[1] < 0) r1[1] = 0; if (r1[1] > 255) r1[1] = 255;
            r1[0] = (byte)(__HLS_Value(m1, m2, H * 6.0 - 2.0) * 255);
            if (r1[0] < 0) r1[0] = 0; if (r1[0] > 255) r1[0] = 255;
            return r1;
        }

        public static double __HLS_Value(double m1, double m2, double h)
        {
            if (h > 6.0)
                h -= 6.0;
            else if (h < 0.0)
                h += 6.0;

            if (h < 1.0)
                return m1 + (m2 - m1) * h;
            else if (h < 3.0)
                return m2;
            else if (h < 4.0)
                return m1 + (m2 - m1) * (4.0 - h);
            return m1;
        }

        /// <summary>
        /// Bitmap转int数组
        /// </summary>
        /// <param name="map"></param>
        /// <returns></returns>
        public static int[] ByteArray(Bitmap map)
        {
            var data = map.LockBits(new Rectangle(0, 0, map.Width, map.Height), ImageLockMode.ReadOnly, PixelFormat.Format32bppArgb);
            var length = map.Width * map.Height * 4;
            byte[] _byteArray = new byte[length];

            if (data.Stride == map.Width * 4)
            {
                Marshal.Copy(data.Scan0, _byteArray, 0, length);
            }
            else
            {
                for (int i = 0, l = map.Height; i < l; i++)
                {
                    var p = new IntPtr(data.Scan0.ToInt32() + data.Stride * i);
                    Marshal.Copy(p, _byteArray, i * map.Width * 4, map.Width * 4);
                }
            }
            map.UnlockBits(data);


            var intArray = new int[_byteArray.Length / 4];
            for (int i = 0; i < _byteArray.Length; i += 4)
            {
                intArray[i / 4] = BitConverter.ToInt32(_byteArray, i);
            }

            return intArray;
        }

        /// <summary>
        /// 【可以优化速度】判断是否是黑/白二值图像
        /// </summary>
        /// <param name="mat"></param>
        /// <returns></returns>
        public static bool DetermineBinaryImage(Mat mat)
        {
            for (int o = 0; o < mat.Height; o++)
            {
                for (int p = 0; p < mat.Width; p++)
                {
                    byte v = mat.At<byte>(o, p);
                    if(v!=255 && v != 0)
                    {
                        return false;
                    }
                }
            }

            return true;
        }

        /// <summary>
        /// 根据图像的直方图判断是否是二个颜色的图
        /// </summary>
        /// <param name="mat"></param>
        /// <returns></returns>
        public static bool DetermineBinaryImageByHist(Mat mat)
        {
            //根据灰度图的直方图计算是否是二值图
            Mat[] mats0 = new Mat[] { mat };
            int[] channels0 = new int[] { 0 };
            int[] histsize = new int[] { 256 };//一个通道，初始化为256箱子
            Rangef[] range = new Rangef[1];
            range[0] = new Rangef(0.0F, 256.0F);
            Mat hist = new Mat();
            Cv2.CalcHist(mats0, channels0, new Mat(), hist, 1, histsize, range);
            int value = 0;
            for (int i = 0; i < 256; i++)
            {
                //取每个bin的数目
                int temp = (int)(hist.At<float>(i, 0));
                if (temp > 0)
                    value++;
            }
            return value == 2;
        }

        /// <summary>
        /// 收缩图像
        /// </summary>
        /// <param name="ip"></param>
        /// <param name="ip2"></param>
        /// <param name="hasEdgePixels"></param>
        /// <returns></returns>
        public static Mat shrink(Mat ip, Mat ip2, bool hasEdgePixels)
        {
            if (hasEdgePixels)
            {
                int width = ip.Width;
                int height = ip.Height;
                for (int y = 0; y < height; y++)
                    for (int x = 0; x < width; x++)
                        ip.Set<byte>(y, x, ip2.At<byte>(y + 1, x + 1));
            }
            return ip;
        }

        /// <summary>
        /// 阴影校正功能里面，用来进行行列处理的方法
        /// </summary>
        /// <param name="I_OUT"></param>
        /// <param name="threshold"></param>
        /// <returns></returns>
        public static Mat ImageSmoothIIR(Mat I_OUT, double threshold)
        {
            /*int M = I_OUT.Height;
            int N = I_OUT.Width;

            for (int P = 1; P < M; P++)
            {
                I_OUT.Row[P] = threshold * 1.0f * (I_OUT.Row[P - 1] - I_OUT.Row[P]) + I_OUT.Row[P];
            }

            for (int P = M - 2; P > -1; P--)
            {
                I_OUT.Row[P] = threshold * 1.0f * (I_OUT.Row[P + 1] - I_OUT.Row[P]) + I_OUT.Row[P];
            }

            for (int L = 1; L < N; L++)
            {
                I_OUT.Col[L] = threshold * 1.0f * (I_OUT.Col[L - 1] - I_OUT.Col[L]) + I_OUT.Col[L];
            }

            for (int L = N - 2; L > -1; L--)
            {
                I_OUT.Col[L] = threshold * 1.0f * (I_OUT.Col[L + 1] - I_OUT.Col[L]) + I_OUT.Col[L];
            }

            return I_OUT;*/
            Mat temp = null;
            int M = I_OUT.Height;
            int N = I_OUT.Width;

            for (int P = 1; P < M; P++)
            {
                temp = (threshold * 1.0f * (I_OUT.Row(P - 1) - I_OUT.Row(P)) + I_OUT.Row(P));
                temp.CopyTo(I_OUT.Row(P));
            }

            for (int P = M - 2; P > -1; P--)
            {
                temp = (threshold * 1.0f * (I_OUT.Row(P + 1) - I_OUT.Row(P)) + I_OUT.Row(P));
                temp.CopyTo(I_OUT.Row(P));
            }

            for (int L = 1; L < N - 1; L++)
            {
                temp = (threshold * 1.0f * (I_OUT.Col(L - 1) - I_OUT.Col(L)) + I_OUT.Col(L));
                temp.CopyTo(I_OUT.Col(L));
            }

            for (int L = N - 2; L > -1; L--)
            {
                temp = (threshold * 1.0f * (I_OUT.Col(L + 1) - I_OUT.Col(L)) + I_OUT.Col(L));
                temp.CopyTo(I_OUT.Col(L));
            }

            return I_OUT;
        }

        /// <summary>
        /// 引射线法判断点是否在多边形内部(以该点为起点沿x轴负方向做一条射线)
        /// </summary>
        /// <param name="p"></param>
        /// <param name="vPoint"></param>
        /// <returns></returns>
        public static bool isPointInPolygon(System.Drawing.Point p, List<System.Drawing.PointF> vPoint)
        {
            int i, j = vPoint.Count - 1;
            bool inside = false;
            double x = p.X;
            double y = p.Y;
            for (i = 0; i < vPoint.Count; i++)
            {
                if (((vPoint[i].Y < y && vPoint[j].Y >= y) || (vPoint[i].Y >= y && vPoint[j].Y < y)) && (vPoint[i].X <= x || vPoint[j].X <= x))
                {
                    double dTmp = vPoint[i].X + (y - vPoint[i].Y) / (vPoint[j].Y - vPoint[i].Y) * (vPoint[j].X - vPoint[i].X);
                    bool bTmp;
                    if (dTmp == x)  //点在多边形的边上，也算在多边形内
                    {
                        //count = 1;
                        return true;
                    }
                    else
                        bTmp = (dTmp < x);
                    inside ^= bTmp;
                    //if (bTmp)
                        //count++;
                }
                j = i;
            }
            return inside;
        }

        /// <summary>
        /// 判断点是否在椭圆内
        /// </summary>
        /// <param name="point"></param>
        /// <param name="centerPoint"></param>
        /// <returns></returns>
        public static bool isPointInOval(System.Drawing.Point point, System.Drawing.PointF centerPoint, float xaxis, float yaxis)
        {
            double v = Math.Pow(centerPoint.X - point.X, 2) / Math.Pow(xaxis, 2) + Math.Pow(centerPoint.Y - point.Y, 2) / Math.Pow(yaxis, 2);
            return v < 1;
        }

        /// <summary>
        /// System.Drawing.Point转OpenCvSharp.Point
        /// </summary>
        /// <param name="points1"></param>
        /// <param name="points2"></param>
        /// <returns></returns>
        public static List<OpenCvSharp.Point> pointToPoint(List<System.Drawing.PointF> points)
        {
            List<OpenCvSharp.Point> points1 = new List<OpenCvSharp.Point>();
            foreach(System.Drawing.PointF point in points)
            {
                points1.Add(new OpenCvSharp.Point(point.X, point.Y));
            }
            return points1;
        }

        /// <summary>
        /// 判断mat是否相同
        /// </summary>
        /// <param name="a"></param>
        /// <param name="b"></param>
        /// <returns></returns>
        public static bool matEqual(Mat a, Mat b) {
            Mat temp = new Mat();
            Cv2.BitwiseXor(a, b, temp);
            Mat[] mats = temp.Split();
            int a1 = Cv2.CountNonZero(mats[0]);
            int a2 = Cv2.CountNonZero(mats[1]);
            int a3 = Cv2.CountNonZero(mats[2]);
            int a4 = Cv2.CountNonZero(mats[3]);
            return (a1+ a2+ a3+ a4) ==0;
        }

        /// <summary>
        /// 图像旋转
        /// </summary>
        /// <param name="src"></param>
        /// <param name="dst"></param>
        /// <param name="angle"></param>
        /// <param name="flags"></param>
        public static void ImageRotate(Mat src, Mat dst, float angle, InterpolationFlags flags)
        {
            Mat dst1 = new Mat();
            Point2f center = new Point2f(src.Cols / 2, src.Rows / 2);
            Mat rot = Cv2.GetRotationMatrix2D(center, -angle, 1);
            Size2f s2f = new Size2f(src.Size().Width, src.Size().Height);
            Rect box = new RotatedRect(new Point2f(0, 0), s2f, -angle).BoundingRect();
            double xx = rot.At<double>(0, 2) + box.Width / 2 - src.Cols / 2;
            double zz = rot.At<double>(1, 2) + box.Height / 2 - src.Rows / 2;
            rot.Set(0, 2, xx);
            rot.Set(1, 2, zz);
            //对图片进行仿射变换
            Cv2.WarpAffine(src, dst1, rot, box.Size, flags);
            dst1.CopyTo(dst);
        }

        /// <summary>
        /// 获取不相近的随机颜色
        /// </summary>
        public static Color GetRandomColor(Color color)
        {
            double H, L, S;
            Vec3b vec3B = new Vec3b();
            vec3B.Item0 = color.B;
            vec3B.Item1 = color.G;
            vec3B.Item1 = color.R;

            RGBtoHLS(vec3B, out H, out L, out S);

            double H1=0, L1=0, S1=0;
            for (var i = 0; i < 1; i++)
            {
                double[] ret = RandomHsl();

                // 颜色相邻颜色差异须大于 0.25
                if (i > 0 && Math.Abs(ret[0] - H) < 0.25)
                {
                    i--;
                    continue; // 重新获取随机色
                }
                ret[1] = 0.7 + (ret[1] * 0.2); // [0.7 - 0.9] 排除过灰颜色
                ret[2] = 0.4 + (ret[2] * 0.4); // [0.4 - 0.8] 排除过亮过暗色

                H1 = ret[0];
                S1 = ret[1];
                L1 = ret[2];
            }
            Vec3b v = HLStoRGB(H1, L1, S1);
            return Color.FromArgb(v.Item2, v.Item1, v.Item0);
        }

        public static double[] RandomHsl()
        {
            Random random = new Random();
            double[] hsl = new double[3];
            var H = random.NextDouble();
            var S = random.NextDouble();
            var L = random.NextDouble();

            hsl[0] = H;
            hsl[1] = S;
            hsl[2] = L;
            return hsl;
        }

        /// <summary>
        /// 将bitmap转透明，需要四个通道的bitmap
        /// </summary>
        /// <param name="bitmap"></param>
        /// <returns></returns>
        public static Bitmap BitmapToTransparent(Bitmap bitmap)
        {
            OpenCvSharp.Mat mat = OpenCvSharp.Extensions.BitmapConverter.ToMat(bitmap);
            if(mat.Type() == MatType.CV_8UC4)
            {
                Mat[] mats = mat.Split();
                mats[3].SetTo(new Scalar(0));
                Cv2.Merge(mats, mat);
                return OpenCvSharp.Extensions.BitmapConverter.ToBitmap(mat);
            }

            return bitmap;
        }

        /// <summary>
        /// 形态学孔洞填充
        /// </summary>
        /// <param name="srcBw">二值图0/255</param>
        /// <returns></returns>
        public static Mat FillHole(Mat srcBw, Scalar scalar)
        {
            OpenCvSharp.Size m_Size = srcBw.Size();
            //创建扩展边界的图像
            Mat temp = Mat.Zeros(m_Size.Height + 2, m_Size.Width + 2, srcBw.Type());
            srcBw.CopyTo(new Mat(temp, new Range(1, m_Size.Height + 1), new Range(1, m_Size.Width + 1)));
            //new OpenCvSharp.Point(0, 0)
            Cv2.FloodFill(temp, new OpenCvSharp.Point(0, 0), scalar);
            //裁剪扩展边界的图像
            Mat cutImg = new Mat();
            new Mat(temp, new Range(1, m_Size.Height + 1), new Range(1, m_Size.Width + 1)).CopyTo(cutImg);
            return srcBw | (~cutImg);
        }

        /// <summary>
        /// 返回合并后的图片
        /// 主要适用于四通道合并为三通道
        /// </summary>
        /// <param name="arr"></param>
        /// <returns></returns>
        public static Mat MergeMatFromMatArr(Mat[] arr)
        {
            Mat[] mats = new Mat[3];
            mats[0] = arr[0];
            mats[1] = arr[1];
            mats[2] = arr[2];

            Mat dst = new Mat();
            Cv2.Merge(mats, dst);
            return dst;
        }

        /// <summary>
        /// 形态学提取连通分量
        /// </summary>
        /// <param name="src">需要0/1的二值图</param>
        /// <param name="iseight">true 8连通 / false 4连通</param>
        /// <param name="points">各个连通区域的种子点的坐标集合</param>
        /// <param name="nums">各个连通区域的像素个数集合</param>
        public static void MorphologExConnComponents(Mat src, bool iseight, out List<OpenCvSharp.Point> points, out List<int> nums)
        {
            points = new List<OpenCvSharp.Point>();
            nums = new List<int>();

            Mat structelement;
            if (iseight)
                structelement = Cv2.GetStructuringElement(MorphShapes.Rect, new OpenCvSharp.Size(3, 3));
            else
                structelement = Cv2.GetStructuringElement(MorphShapes.Cross, new OpenCvSharp.Size(3, 3));

            //dst = Mat.Ones(src.Size(), src.Type());
            Mat tmp = Mat.Ones(src.Size(), src.Type()); // save last reuslt image
            //Mat img = Mat.Ones(src.Size(), src.Type()); //image B
            int labelnum = 0; //label of connected component

            Mat backupsrc = new Mat();
            src.CopyTo(backupsrc);
            for (int i = 0; i < backupsrc.Rows; i++)
            {
                for (int j = 0; j < backupsrc.Cols; j++)
                {
                    if (backupsrc.At<byte>(i, j) == 255)
                    {
                        Mat img = Mat.Ones(src.Size(), src.Type());
                       
                        img.CopyTo(tmp); img.Set<byte>(i, j, 255);
                        labelnum++;

                        while (true)
                        {
                            Cv2.Dilate(img, img, structelement);
                            Cv2.BitwiseAnd(img, src, img);
                            if (Cv2.CountNonZero(img - tmp) == 0)
                                break;
                            img.CopyTo(tmp);
                        }

                        //Cv2.ImShow("xx" + labelnum, img);
                        // int xx = Cv2.CountNonZero(img);
                        //System.Console.WriteLine(labelnum +"、" +i+ "、" + j +":" + xx);

                        int hh = 0;
                        //label the connected component
                        for (int r = 0; r < img.Rows; r++)
                        {
                            for (int c = 0; c < img.Cols; c++)
                            {
                                if (img.At<byte>(r, c) == 255)
                                {
                                    hh++;
                                    backupsrc.Set<byte>(r, c, 0);
                                    //dst.Set<int>(r, c, labelnum);
                                }
                            }
                        }

                        points.Add(new OpenCvSharp.Point(j, i));
                        nums.Add(hh);
                        //System.Console.WriteLine(labelnum + ":" + hh);
                    }
                }
            }
            //return labelnum;
        }

        public static Mat MergeMatFromMatArr(Mat src, Vec4b vec4B)
        {
            Mat[] arr = src.Split();
            Mat apa = arr[3].Clone();
            apa = apa * 1/255;
            arr[0] = apa * vec4B.Item0;
            arr[1] = apa * vec4B.Item1;
            arr[2] = apa * vec4B.Item2;
            Cv2.Merge(arr, src);
            return src;
        }
    }
}