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C#opencv 遍历图像中所有点 不在圆范围内的点变为黑色,在圆范围内的保持原色

安装 Install-Package OpenCvSharp4
Install-Package OpenCvSharp4.Windows

普通实现

using System;
using System.Collections.Generic;
using System.Linq;
using OpenCvSharp; // 添加OpenCV引用class Program
{static void Main(string[] args){// 原有代码...// 添加圆形遮罩处理图像的示例ProcessImageWithCircleMask("input.jpg", "output.jpg", 300, 300, 200);}// 处理图像，将不在圆范围内的点变为黑色static void ProcessImageWithCircleMask(string inputPath, string outputPath, int centerX, int centerY, int radius){try{// 读取图像using (Mat src = Cv2.ImRead(inputPath)){if (src.Empty()){Console.WriteLine("无法读取图像！");return;}// 创建一个与原图像大小相同的黑色图像using (Mat result = Mat.Zeros(src.Size(), src.Type())){// 遍历图像中的每个像素for (int y = 0; y < src.Height; y++){for (int x = 0; x < src.Width; x++){// 计算点到圆心的距离double distance = Math.Sqrt(Math.Pow(x - centerX, 2) + Math.Pow(y - centerY, 2));// 如果点在圆内，保持原色；否则为黑色if (distance <= radius){// 获取原图像的像素值并设置到结果图像中Vec3b color = src.Get<Vec3b>(y, x);result.Set(y, x, color);}}}// 保存结果图像Cv2.ImWrite(outputPath, result);Console.WriteLine($"处理完成，结果已保存到 {outputPath}");}}}catch (Exception ex){Console.WriteLine($"处理图像时出错: {ex.Message}");}}// 生成随机坐标点static List<Point> GenerateRandomPoints(int count, int minX, int maxX, int minY, int maxY){// 原有代码...}// 其他原有方法...
}// 原有类定义...

如果你想要更高效的实现，可以使用OpenCV的内置函数：

using OpenCvSharp;
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;namespace resistanceWelding
{class testOpencv{public static void ProcessImageWithCircleMaskEfficient(string inputPath, string outputPath, int centerX, int centerY, int radius){try{// 读取图像using (Mat src = Cv2.ImRead(inputPath)){if (src.Empty()){Console.WriteLine("无法读取图像！");return;}// 创建一个与原图像大小相同的黑色掩码using (Mat mask = Mat.Zeros(src.Size(), MatType.CV_8UC1)){// 在掩码上绘制白色圆形Cv2.Circle(mask, new Point(centerX, centerY), radius, Scalar.White, -1);// 创建结果图像using (Mat result = new Mat(src.Size(), src.Type(), Scalar.Black)){// 使用掩码将原图像复制到结果图像src.CopyTo(result, mask);// 保存结果图像Cv2.ImWrite(outputPath, result);Console.WriteLine($"处理完成，结果已保存到 {outputPath}");}}}}catch (Exception ex){Console.WriteLine($"处理图像时出错: {ex.Message}");}}}
}

类型转换

需要安装   OpenCvSharp4.Extensions

using Cognex.VisionPro;
using Cognex.VisionPro.ImageFile;
using OpenCvSharp;
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;namespace resistanceWelding
{class testOpencv{public static void ProcessImageWithCircleMaskEfficient(string inputPath, string outputPath, int centerX, int centerY, int radius){try{int dd = 2;Mat src;if(dd == 22){// 读取图像src = Cv2.ImRead(inputPath);}//else if(dd == 1)//{//    CogImageFile cogImage = new CogImageFile();//    cogImage.Open(inputPath, CogImageFileModeConstants.Read);//}else{var originalBitmap = new System.Drawing.Bitmap(inputPath);src = OpenCvSharp.Extensions.BitmapConverter.ToMat(originalBitmap);}if (src.Empty()){Console.WriteLine("无法读取图像！");return;}// 创建一个与原图像大小相同的黑色掩码Mat mask = Mat.Zeros(src.Size(), MatType.CV_8UC1);// 在掩码上绘制白色圆形Cv2.Circle(mask, new Point(centerX, centerY), radius, Scalar.White, -1);// 创建结果图像Mat result = new Mat(src.Size(), src.Type(), Scalar.Black);// 使用掩码将原图像复制到结果图像src.CopyTo(result, mask);// 保存结果图像Cv2.ImWrite(outputPath, result);Console.WriteLine($"处理完成，结果已保存到 {outputPath}");}catch (Exception ex){Console.WriteLine($"处理图像时出错: {ex.Message}");}}}
}

C# 图像之间转换代码_c# bitmap.palette-CSDN博客

//转为 bitmap方法一：
Bitmap map = OpenCvSharp.Extensions.BitmapConverter.ToBitmap(mat);
process_pictureBox.Image = map;

//转为 bitmap方法二：

Bitmap map = new Bitmap(mat.ToMemoryStream());
process_pictureBox.Image = map;

//Image img 转为Mat
Bitmap bitmap = new Bitmap(img);//Image img
OpenCvSharp.Mat mat = OpenCvSharp.Extensions.BitmapConverter.ToMat(bitmap);//用
 
//bitmap转换为mat
C#中Bitmap 与 Image 之间的转换
Image img = pictureBox1.Image;
Bitmap map = new Bitmap(img);
 
//而Bitmap直接可以赋值 给 Image 对象
 
Image img = Bitmap;