c#實(shí)現(xiàn)圖片二值化例子（黑白效果）

更新時(shí)間：2014年08月15日 08:50:19 投稿：junjie

這篇文章主要介紹了c#實(shí)現(xiàn)圖片二值化例子,圖像二值化就是將圖像上的像素點(diǎn)的灰度值設(shè)置為0或255,也就是將整個(gè)圖像呈現(xiàn)出明顯的黑白效果,需要的朋友可以參考下

C#將圖片2值化示例代碼，原圖及二值化后的圖片如下：

原圖：

二值化后的圖像：

實(shí)現(xiàn)代碼：

using System;
using System.Drawing;
namespace BMP2Grey
{
  class Program
  {
    static void ToGrey(Bitmap img1)
    {
      for (int i = 0; i < img1.Width; i++)
      {
        for (int j = 0; j < img1.Height; j++)
        {
          Color pixelColor = img1.GetPixel(i, j);
          //計(jì)算灰度值
          int grey = (int)(0.299 * pixelColor.R + 0.587 * pixelColor.G + 0.114 * pixelColor.B);
          Color newColor = Color.FromArgb(grey, grey, grey);
          img1.SetPixel(i, j, newColor);
        }
      }
    }
    static void Thresholding(Bitmap img1)
    {
      int[] histogram = new int[256];
      int minGrayValue=255, maxGrayValue=0;
      //求取直方圖
      for (int i = 0; i < img1.Width; i++)
      {
        for (int j = 0; j < img1.Height; j++)
        {
          Color pixelColor = img1.GetPixel(i, j);
          histogram[pixelColor.R]++;
          if (pixelColor.R > maxGrayValue) maxGrayValue = pixelColor.R;
          if (pixelColor.R < minGrayValue) minGrayValue = pixelColor.R;
        }
      }
      //迭代計(jì)算閥值
      int threshold = -1;
      int newThreshold = (minGrayValue + maxGrayValue) / 2;
      for(int iterationTimes = 0; threshold != newThreshold && iterationTimes < 100; iterationTimes++)
      {
        threshold = newThreshold;
        int lP1 =0;
        int lP2 =0;
        int lS1 = 0;
        int lS2 = 0;
        //求兩個(gè)區(qū)域的灰度的平均值
        for (int i = minGrayValue;i < threshold;i++)
        {
          lP1 += histogram[i] * i;
          lS1 += histogram[i];
        }
        int mean1GrayValue = (lP1 / lS1);
        for (int i = threshold+1;i < maxGrayValue;i++)
        {
          lP2 += histogram[i] * i;
          lS2 += histogram[i];
        }
        int mean2GrayValue = (lP2 / lS2);
        newThreshold = (mean1GrayValue + mean2GrayValue) / 2;
      }
      //計(jì)算二值化
      for (int i = 0; i < img1.Width; i++)
      {
        for (int j = 0; j < img1.Height; j++)
        {
          Color pixelColor = img1.GetPixel(i, j);
          if (pixelColor.R > threshold) img1.SetPixel(i, j, Color.FromArgb(255, 255, 255));
          else img1.SetPixel(i, j, Color.FromArgb(0, 0, 0));
        }
      }
    }
    static void Main(string[] args)
    {
      try
      {
        //打開位圖文件
        Bitmap img1 = new Bitmap("test.jpg", true);
        //灰度化
        ToGrey(img1);
        //二值化
        Thresholding(img1);
        //寫回位圖文件
        img1.Save("output.jpg");
        Console.WriteLine("Converted.");
      }
      catch (ArgumentException)
      {
        Console.WriteLine("Invalid usage!");
        Console.WriteLine("Usage: bmp2grey source object");
      }
    }
  }
}

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