OpenCVSharp - 击中或击不中_opencvsharp.cv2.morphologyex-优快云博客

本文链接：https://blog.youkuaiyun.com/jimtien/article/details/117121877

这篇博客详细介绍了如何使用OpenCVSharp库在C#环境中执行OpenCV的Hit or Miss形态学操作。作者通过手敲代码展示了如何创建输入图像、定义结构元素并应用MorphologyEx()函数进行处理。最后，代码还显示了原始图像、处理后的图像以及用于形态学操作的结构元素。

摘要生成于 C知道，由 DeepSeek-R1 满血版支持，前往体验 >

OpenCVSharp 跑一遍OpenCV官方教程（全为手敲代码，如有雷同都是我的错）

击中或击不中

OpenCV教程链接：https://docs.opencv.org/4.5.0/db/d06/tutorial_hitOrMiss.html

核心语句

MorphologyEx()

using OpenCvSharp;
using System;

namespace ConsoleApp1
{
    class tutorial6 : ITutorial
    {
        public void Run()
        {
            byte[] image = new byte[64]{
                0, 0, 0, 0, 0, 0, 0, 0,
                0, 255, 255, 255, 0, 0, 0, 255,
                0, 255, 255, 255, 0, 0, 0, 0,
                0, 255, 255, 255, 0, 255, 0, 0,
                0, 0, 255, 0, 0, 0, 0, 0,
                0, 0, 255, 0, 0, 255, 255, 0,
                0, 255, 0, 255, 0, 0, 255, 0,
                0, 255, 255, 255, 0, 0, 0, 0};

            Mat input_image = new Mat(8, 8, MatType.CV_8UC1, image);
            //short[,] k = new short[3, 3] { { 0, 1, 0 }, { 1, -1, 1 }, { 0, 1, 0 } };
            short[] k = new short[9] {0, 1, 0 ,  1, -1, 1 , 0, 1, 0};

            Mat kernel = new Mat(3, 3, MatType.CV_16SC1, k);

            //Console.WriteLine(Cv2.Format(kernel));
            Mat output_image = new Mat();
            Cv2.MorphologyEx(input_image, output_image, MorphTypes.HitMiss, kernel);
            int rate = 50;
            kernel = (kernel + 1) * 127;

            //Console.WriteLine(Cv2.Format(kernel));
            kernel.ConvertTo(kernel, MatType.CV_8UC1);
            Console.WriteLine(Cv2.Format(kernel));

            Cv2.Resize(kernel, kernel, new Size(), rate, rate, InterpolationFlags.Nearest);
            Cv2.ImShow("kernel", kernel);
            Cv2.MoveWindow("kernel", 0, 0);
            Cv2.Resize(input_image, input_image, new Size(), rate, rate, InterpolationFlags.Nearest);
            Cv2.ImShow("Original", input_image);
            Cv2.MoveWindow("Original", 0, 200);
            Cv2.Resize(output_image, output_image, new Size(), rate, rate, InterpolationFlags.Nearest);
            Cv2.ImShow("Hit or Miss", output_image);
            Cv2.MoveWindow("Hit or Miss", 500, 200);
            Cv2.WaitKey(0);
        }
    }
}