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C#怎么验证两个QQ头像相似度

发布时间:2022-03-11 11:46:06 来源:亿速云 阅读:118 作者:iii 栏目:开发技术

这篇文章主要介绍了C#怎么验证两个QQ头像相似度的相关知识,内容详细易懂,操作简单快捷,具有一定借鉴价值,相信大家阅读完这篇C#怎么验证两个QQ头像相似度文章都会有所收获,下面我们一起来看看吧。

利用c#查看出某个其他qq的头像与自己头像的相似度,先看效果图

C#怎么验证两个QQ头像相似度

这里我是将左边的头像作为比对的基本图,我目前做的是一图比对一图,因为理解好了一对一,一对多也不难,我们可以得出相似的像素,然后大于多少百分比就是同一图的改变了,以下是完整代码

using Newtonsoft.Json;
using Newtonsoft.Json.Linq;
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Diagnostics;
using System.Drawing;
using System.Drawing.Drawing2D;
using System.Drawing.Imaging;
using System.IO;
using System.Linq;
using System.Net;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;

namespace WindowsFormsApp1
{
    public partial class Form1 : Form
    {
        public Form1()
        {
            InitializeComponent();
        }
        public static int width; //图片宽
        public static int height;//图片高
        public static string mypicurl;//我的图片地址
        public static string picurl;//图片地址
        private void Form1_Load(object sender, EventArgs e)
        {
            this.MyPicture.SizeMode = PictureBoxSizeMode.StretchImage;
            this.MyPicture.BorderStyle = BorderStyle.FixedSingle;
            this.OtherPicture.SizeMode = PictureBoxSizeMode.StretchImage;
            this.OtherPicture.BorderStyle = BorderStyle.FixedSingle;
            this.explain.Text = "操作步骤:左边输入自己qq号查看显示,右边输入别人qq号,点击查看,点击验证,得出结果。";
        }

        private void button2_Click(object sender, EventArgs e)
        {
            Stopwatch stopwatch = new Stopwatch();
            stopwatch.Start();

            int countSame = 0;
            int countDifferent = 0;

            Image img = this.MyPicture.Image;
            Bitmap bitmapSource = new Bitmap(img);
            //Bitmap bitmapSource = BytesToBitmap(ResizeImage(mypicurl));
            width = bitmapSource.Width;
            height = bitmapSource.Height;

            Bitmap bitmapTarget = BytesToBitmap(ResizeImage(picurl));
            //照片尺寸必须一样
            for (int i = 0; i < bitmapTarget.Width; i++)
            {
                for (int j = 0; j < bitmapTarget.Height; j++)
                {
                    if (bitmapSource.GetPixel(i, j).Equals(bitmapTarget.GetPixel(i, j)))
                    {
                        countSame++;
                    }
                    else
                    {
                        countDifferent++;
                    }
                }
            }

            stopwatch.Stop();
            this.result.Text = "相同像素个数:" + countSame + ",不同像素个数:" + countDifferent + "用时:" + stopwatch.ElapsedMilliseconds + " 毫秒";
        }
        //byte[] 转图片  
        public static Bitmap BytesToBitmap(byte[] Bytes)
        {
            MemoryStream stream = null;
            try
            {
                stream = new MemoryStream(Bytes);
                return new Bitmap((Image)new Bitmap(stream));
            }
            catch (ArgumentNullException ex)
            {
                throw ex;
            }
            catch (ArgumentException ex)
            {
                throw ex;
            }
            finally
            {
                stream.Close();
            }
        }
        /// <summary>
        /// 图片大小裁剪
        /// </summary>
        /// <param name="filePath"></param>
        /// <returns></returns>
        public static byte[] ResizeImage(string filePath)
        {

            WebRequest request = (WebRequest)HttpWebRequest.Create(filePath);
            WebResponse response = request.GetResponse();
            using (Stream stream = response.GetResponseStream())
            {
                Bitmap bm = (Bitmap)Image.FromStream(stream);

                bm = GetThumbnail(bm, height, width);
                MemoryStream ms = new MemoryStream();
                bm.Save(ms, System.Drawing.Imaging.ImageFormat.Bmp);
                byte[] bytes = ms.GetBuffer();  //byte[]   bytes=   ms.ToArray(); 这两句都可以,至于区别么,下面有解释
                ms.Close();
                return bytes;
            }

        }
        /// <summary>
        /// 修改图片的大小
        /// </summary>
        /// <param name="b"></param>
        /// <param name="destHeight"></param>
        /// <param name="destWidth"></param>
        /// <returns></returns>
        public static Bitmap GetThumbnail(Bitmap b, int destHeight, int destWidth)
        {
            System.Drawing.Image imgSource = b;
            System.Drawing.Imaging.ImageFormat thisFormat = imgSource.RawFormat;
            int sW = 0, sH = 0;
            // 按比例缩放           
            int sWidth = imgSource.Width;
            int sHeight = imgSource.Height;
            if (sHeight > destHeight || sWidth > destWidth)
            {
                if ((sWidth * destHeight) > (sHeight * destWidth))
                {
                    sW = destWidth;
                    sH = (destWidth * sHeight) / sWidth;
                }
                else
                {
                    sH = destHeight;
                    sW = (sWidth * destHeight) / sHeight;
                }
            }
            else
            {
                sW = sWidth;
                sH = sHeight;
            }
            Bitmap outBmp = new Bitmap(destWidth, destHeight);
            Graphics g = Graphics.FromImage(outBmp);
            g.Clear(Color.Transparent);
            // 设置画布的描绘质量         
            g.CompositingQuality = CompositingQuality.HighQuality;
            g.SmoothingMode = SmoothingMode.HighQuality;
            g.InterpolationMode = InterpolationMode.HighQualityBicubic;
            g.DrawImage(imgSource, new Rectangle((destWidth - sW) / 2, (destHeight - sH) / 2, sW, sH), 0, 0, imgSource.Width, imgSource.Height, GraphicsUnit.Pixel);
            g.Dispose();
            // 以下代码为保存图片时,设置压缩质量     
            EncoderParameters encoderParams = new EncoderParameters();
            long[] quality = new long[1];
            quality[0] = 100;
            EncoderParameter encoderParam = new EncoderParameter(System.Drawing.Imaging.Encoder.Quality, quality);
            encoderParams.Param[0] = encoderParam;
            imgSource.Dispose();
            return outBmp;
        }

        private void button3_Click(object sender, EventArgs e)
        {
            if (this.OtherQQ.Text == "")
            {
                MessageBox.Show("请输入qq号!");
                return;
            }
            HttpClient httpClient = new HttpClient();
            string url = "https://api.usuuu.com/qq/" + this.OtherQQ.Text;
            var rsp = httpClient.GetAsync(url).Result;
            var str = rsp.Content.ReadAsStringAsync().Result;
            JObject jo = (JObject)JsonConvert.DeserializeObject(str);
            if ((string)jo["code"] == "200") 
            {
                Image pic = Image.FromStream(WebRequest.Create((string)jo["data"]["avatar"]).GetResponse().GetResponseStream());
                this.OtherPicture.Image = pic;
                picurl = (string)jo["data"]["avatar"];
            }
            else
            {
                MessageBox.Show("请输入正确的qq号!");
            }
        }

        private void button4_Click(object sender, EventArgs e)
        {
            if (this.MyQQ.Text == "")
            {
                MessageBox.Show("请输入qq号!");
                return;
            }
            HttpClient httpClient = new HttpClient();
            string url = "https://api.usuuu.com/qq/" + this.MyQQ.Text;
            var rsp = httpClient.GetAsync(url).Result;
            var str = rsp.Content.ReadAsStringAsync().Result;
            JObject jo = (JObject)JsonConvert.DeserializeObject(str);
            if ((string)jo["code"] == "200")
            {
                Image pic = Image.FromStream(WebRequest.Create((string)jo["data"]["avatar"]).GetResponse().GetResponseStream());
                this.MyPicture.Image = pic;
                mypicurl = (string)jo["data"]["avatar"];
            }
            else
            {
                MessageBox.Show("请输入正确的qq号!");
            }
        }
    }
}

关于“C#怎么验证两个QQ头像相似度”这篇文章的内容就介绍到这里,感谢各位的阅读!相信大家对“C#怎么验证两个QQ头像相似度”知识都有一定的了解,大家如果还想学习更多知识,欢迎关注亿速云行业资讯频道。

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