C# OpenCvSharp 图片找茬

效果

项目

代码

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效果

项目

代码

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

namespace OpenCvSharp_Demo
{
public partial class Form1 : Form
{
public Form1()
{
InitializeComponent();
}

Stopwatch stopwatch = new Stopwatch();

Mat result_image;

private void Form1_Load(object sender, EventArgs e)
{
pictureBox1.Image = new Bitmap("1.png");
pictureBox2.Image = new Bitmap("2.png");
}

private void button2_Click(object sender, EventArgs e)
{
stopwatch.Restart();

//加载两张图片
Mat image1 = Cv2.ImRead("1.png");
Mat image2 = Cv2.ImRead("2.png");
result_image = image2.Clone();

//创建一个空的Mat对象用于存储差异
Mat difference = new Mat();

//计算两张图片的差异
Cv2.Absdiff(image1, image2, difference);

//模糊
Cv2.Blur(difference, difference, new OpenCvSharp.Size(5, 5));

//转换为灰度图
Cv2.CvtColor(difference, difference, ColorConversionCodes.BGR2GRAY);

//膨胀5次
Mat kernel = Cv2.GetStructuringElement(MorphShapes.Rect, new OpenCvSharp.Size(5, 5));
Cv2.Dilate(difference, difference, kernel, null, 5);

//二值化
Cv2.Threshold(difference, difference, 20, 200, ThresholdTypes.Binary);

//找出轮廓
OpenCvSharp.Point[][] contours;
HierarchyIndex[] hierarchly;
Cv2.FindContours(difference, out contours, out hierarchly, RetrievalModes.External, ContourApproximationModes.ApproxNone, new OpenCvSharp.Point(0, 0));
Rect rect;
for (int i = 0; i < contours.Length; i++)
{
rect = Cv2.BoundingRect(contours[i]);
Cv2.Rectangle(result_image, rect, new Scalar(0, 255, 0), 2, LineTypes.Link8);
}

double costTime = stopwatch.Elapsed.TotalMilliseconds;

textBox1.Text = $"耗时:{costTime:F2}ms";
pictureBox2.Image = new Bitmap(result_image.ToMemoryStream());

}

}
}

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

namespace OpenCvSharp_Demo
{
    public partial class Form1 : Form
    {
        public Form1()
        {
            InitializeComponent();
        }

        Stopwatch stopwatch = new Stopwatch();

        Mat result_image;

        private void Form1_Load(object sender, EventArgs e)
        {
            pictureBox1.Image = new Bitmap("1.png");
            pictureBox2.Image = new Bitmap("2.png");
        }


        private void button2_Click(object sender, EventArgs e)
        {
            stopwatch.Restart();

            //加载两张图片
            Mat image1 = Cv2.ImRead("1.png");
            Mat image2 = Cv2.ImRead("2.png");
            result_image = image2.Clone();

            //创建一个空的Mat对象用于存储差异
            Mat difference = new Mat();

            //计算两张图片的差异
            Cv2.Absdiff(image1, image2, difference);

            //模糊
            Cv2.Blur(difference, difference, new OpenCvSharp.Size(5, 5));

            //转换为灰度图
            Cv2.CvtColor(difference, difference, ColorConversionCodes.BGR2GRAY);

            //膨胀5次
            Mat kernel = Cv2.GetStructuringElement(MorphShapes.Rect, new OpenCvSharp.Size(5, 5));
            Cv2.Dilate(difference, difference, kernel, null, 5);

            //二值化
            Cv2.Threshold(difference, difference, 20, 200, ThresholdTypes.Binary);

            //找出轮廓
            OpenCvSharp.Point[][] contours;
            HierarchyIndex[] hierarchly;
            Cv2.FindContours(difference, out contours, out hierarchly, RetrievalModes.External, ContourApproximationModes.ApproxNone, new OpenCvSharp.Point(0, 0));
            Rect rect;
            for (int i = 0; i < contours.Length; i++)
            {
                rect = Cv2.BoundingRect(contours[i]);
                Cv2.Rectangle(result_image, rect, new Scalar(0, 255, 0), 2, LineTypes.Link8);
            }

            double costTime = stopwatch.Elapsed.TotalMilliseconds;

            textBox1.Text = $"耗时:{costTime:F2}ms";
            pictureBox2.Image = new Bitmap(result_image.ToMemoryStream());

        }

    }
}