using OpenCvSharp;
using System;
using System.Drawing;
using System.Windows.Forms;

namespace OpenCvSharp_实现迷宫解密
{
    public partial class Form1 : Form
    {
        public Form1()
        {
            InitializeComponent();
        }

        private void Form1_Load(object sender, EventArgs e)
        {
            pictureBox1.Image = new Bitmap("test.png");
        }

        private void button1_Click(object sender, EventArgs e)
        {
            //读取图片
            Mat src = Cv2.ImRead("test.png");

            //BGR2GRAY
            Mat gray = new Mat();
            Cv2.CvtColor(src, gray, ColorConversionCodes.BGR2GRAY);
            //Cv2.ImShow("gray", gray);

            //1、对图像进行二值化处理
            //反转 产生一个二进制的图像与白色的墙壁和黑色的背景
            Mat thresh = new Mat();
            Cv2.Threshold(gray, thresh, 127, 255, ThresholdTypes.BinaryInv);
            // Cv2.ImShow("thresh", thresh);

            //2、对二值化后的图像进行轮廓检测并标注
            OpenCvSharp.Point[][] contours;
            HierarchyIndex[] hierarchly;
            Cv2.FindContours(thresh, out contours, out hierarchly, RetrievalModes.External, ContourApproximationModes.ApproxNone);

            Mat dc = Mat.Zeros(src.Size(), MatType.CV_8UC1);
            Cv2.DrawContours(dc, contours, 0, new Scalar(255, 255, 255), 6);

            //3、对图像阈值进行处理
            Cv2.Threshold(dc, thresh, 240, 255, ThresholdTypes.Binary);
            //Cv2.ImShow("thresh2", thresh);

            //4、对图像进行扩展操作
            /*
             扩张是数学形态领域的两个基本操作者之一，另一个是侵蚀。它通常应用于二进制图像，但有一些版本可用于灰度图像。
             操作者对二进制图像的基本效果是逐渐扩大前景像素区域的边界（通常为白色像素）。因此，前景像素的面积大小增加，而这些区域内的孔变小。
             */
            Mat kernel = Mat.Ones(10, 10, MatType.CV_8UC1);
            Mat dilation = new Mat();
            Cv2.Dilate(thresh, dilation, kernel);
            //Cv2.ImShow("dilation", dilation);

            //5、对图像进行侵蚀操作
            /*
             侵蚀是第二个形态运算符。它也适用于二进制图像。操作者对二进制图像的基本效果是消除前景像素区域的边界（通常为白色像素）。
             因此，前景像素的面积缩小，并且这些区域内的孔变大。
             */
            Mat erosion = new Mat();
            Cv2.Erode(dilation, erosion, kernel);
            //Cv2.ImShow("erosion", erosion);

            //6、分迷宫通道找出路径
            Mat diff = new Mat();
            Cv2.Absdiff(dilation, erosion, diff);

            Mat[] channels = Cv2.Split(src);

            channels[0] &= ~diff;
            channels[1] &= ~diff;
            channels[2] |= diff;

            Mat dst = new Mat();
            Cv2.Merge(channels, dst);
            //Cv2.ImShow("solution", dst);

            pictureBox2.Image = new Bitmap(dst.ToMemoryStream());
        }
    }
}