C# OpenCvSharp 图片找茬

效果

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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());}}
}