效果

项目

代码

using OpenCvSharp;
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Windows.Forms;
using System.Windows.Forms.VisualStyles;
using static System.Net.Mime.MediaTypeNames;namespace OpenCvSharp_模糊检测_拉普拉斯算子_
{public partial class Form1 : Form{public Form1(){InitializeComponent();}string fileFilter = "*.*|*.bmp;*.jpg;*.jpeg;*.tiff;*.tiff;*.png";string image_path = "";Mat image = new Mat();Mat gray = new Mat();Mat laplacian = new Mat();double threshold = 100;double measure = 0;private void button1_Click(object sender, EventArgs e){OpenFileDialog ofd = new OpenFileDialog();ofd.Filter = fileFilter;if (ofd.ShowDialog() != DialogResult.OK) return;pictureBox1.Image = null;image_path = ofd.FileName;pictureBox1.Image = new Bitmap(image_path);textBox1.Text = "";image = new Mat(image_path);}private void button3_Click(object sender, EventArgs e){if (image_path == ""){return;}Cv2.CvtColor(image, gray, ColorConversionCodes.BGR2GRAY);Cv2.Laplacian(gray, laplacian, gray.Type(), 3, 1, 0, BorderTypes.Default);Cv2.MeanStdDev(laplacian, out var mean, out var stddev);measure = stddev.Val0 * stddev.Val0;if (measure > threshold){textBox1.Text = "不模糊，拉普拉斯算子方差： " + measure.ToString();}else{textBox1.Text = "模糊，拉普拉斯算子方差： " + measure.ToString();}}}
}

Demo下载

模糊度检测算法来自 ：https://pyimagesearch.com/2015/09/07/blur-detection-with-opencv/