using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using OpenCvSharp;
namespace ShenTun.ImageCollection.AForgeCamera
{

    public class ImageRectHelper
    {
        public static void AutoCutImage(string fileName,int topLeftX,int topLeftY,int bottomRightX,int bottonRightY)
        {
            using (Mat src = new Mat(fileName))
            {
                // 已知矩形的左上角和右下角坐标
                Point topLeft = new Point(topLeftX, topLeftY); // x1, y1 是矩形左上角的坐标
                Point bottomRight = new Point(bottomRightX, bottonRightY); // x2, y2 是矩形右下角的坐标

                Rect rect = new Rect(topLeft.X, topLeft.Y, bottomRight.X - topLeft.X, bottomRight.Y - topLeft.Y);

                // 检查坐标是否超出图像边界
                if (rect.X < 0 || rect.Y < 0 || rect.Width <= 0 || rect.Height <= 0 ||
                    rect.X + rect.Width > src.Cols || rect.Y + rect.Height > src.Rows)
                {
                    Console.WriteLine("指定的矩形坐标超出图像边界。");
                    return;
                }

                // 裁剪矩形区域
                using (Mat crop = new Mat(src, rect))
                {
                    // 保存裁剪后的图片
                    Cv2.ImWrite(fileName, crop);
                }
            }
        }

        // 检测轮廓是否为矩形的方法
        private static bool IsRectangle(Point[] contour, double accuracy)
        {
            double arcLength = Cv2.ArcLength(contour, true);
            Point[] approx = Cv2.ApproxPolyDP(contour, accuracy * arcLength, true);

            return approx.Length == 4 && Cv2.IsContourConvex(approx);
        }
    }
}