C#圖像處理
（各種旋轉、改變大小、柔化、銳化、霧化、底片、浮雕、黑白、濾鏡效果）
一、各種旋轉、改變大小
注意：先要添加畫圖相關的using引用。
//向右旋轉圖像90°代碼如下:
private void Form1_Paint(object sender, System.Windows.Forms.PaintEventArgs e)
{Graphics g = e.Graphics;
Bitmap bmp = new Bitmap("rama.jpg");//加載圖像g.FillRectangle(Brushes.White, this.ClientRectangle);//填充窗體背景為白色
Point[] destinationPoints = {new Point(100, 0), // destination for upper-left point of original
new Point(100, 100),// destination for upper-right point of original
new Point(0, 0)}; // destination for lower-left point of original
g.DrawImage(bmp, destinationPoints);
}
//旋轉圖像180°代碼如下:
private void Form1_Paint(object sender, System.Windows.Forms.PaintEventArgs e)
{Graphics g = e.Graphics;
Bitmap bmp = new Bitmap("rama.jpg");g.FillRectangle(Brushes.White, this.ClientRectangle);
Point[] destinationPoints = {new Point(0, 100), // destination for upper-left point of original
new Point(100, 100),// destination for upper-right point of original
new Point(0, 0)}; // destination for lower-left point of original
g.DrawImage(bmp, destinationPoints);
}
//圖像切變代碼:
private void Form1_Paint(object sender, System.Windows.Forms.PaintEventArgs e)
{Graphics g = e.Graphics;
Bitmap bmp = new Bitmap("rama.jpg");g.FillRectangle(Brushes.White, this.ClientRectangle);
Point[] destinationPoints = {new Point(0, 0), // destination for upper-left point of original
new Point(100, 0), // destination for upper-right point of original
new Point(50, 100)};// destination for lower-left point of original
g.DrawImage(bmp, destinationPoints);
}
//圖像截取:
private void Form1_Paint(object sender, System.Windows.Forms.PaintEventArgs e)
{Graphics g = e.Graphics;
Bitmap bmp = new Bitmap("rama.jpg");g.FillRectangle(Brushes.White, this.ClientRectangle);
Rectangle sr = new Rectangle(80, 60, 400, 400);//要截取的矩形區域
Rectangle dr = new Rectangle(0, 0, 200, 200);//要顯示到Form的矩形區域
g.DrawImage(bmp, dr, sr, GraphicsUnit.Pixel);
}
//改變圖像大小:
private void Form1_Paint(object sender, System.Windows.Forms.PaintEventArgs e)
{Graphics g = e.Graphics;
Bitmap bmp = new Bitmap("rama.jpg");g.FillRectangle(Brushes.White, this.ClientRectangle);
int width = bmp.Width;
int height = bmp.Height;
// 改變圖像大小使用低質量的模式
g.InterpolationMode = InterpolationMode.NearestNeighbor;
g.DrawImage(bmp, new Rectangle(10, 10, 120, 120), // source rectangle
new Rectangle(0, 0, width, height), // destination rectangle
GraphicsUnit.Pixel);
// 使用高質量模式
//g.CompositingQuality = CompositingQuality.HighSpeed;
g.InterpolationMode = InterpolationMode.HighQualityBicubic;
g.DrawImage(
bmp,
new Rectangle(130, 10, 120, 120),
new Rectangle(0, 0, width, height),
GraphicsUnit.Pixel);
}
//設置圖像的分辯率:
private void Form1_Paint(object sender, System.Windows.Forms.PaintEventArgs e)
{Graphics g = e.Graphics;
Bitmap bmp = new Bitmap("rama.jpg");g.FillRectangle(Brushes.White, this.ClientRectangle);
bmp.SetResolution(300f, 300f);
g.DrawImage(bmp, 0, 0);
bmp.SetResolution(1200f, 1200f);
g.DrawImage(bmp, 180, 0);
}
//用GDI+畫圖
private void Form1_Paint(object sender, System.Windows.Forms.PaintEventArgs e)
{Graphics gForm = e.Graphics;
gForm.FillRectangle(Brushes.White, this.ClientRectangle);
for (int i = 1; i <= 7; ++i)
{//在窗體上面畫出橙色的矩形
Rectangle r = new Rectangle(i*40-15, 0, 15,
this.ClientRectangle.Height);
gForm.FillRectangle(Brushes.Orange, r);
}
//在內存中創建一個Bitmap並設置CompositingMode
Bitmap bmp = new Bitmap(260, 260,
System.Drawing.Imaging.PixelFormat.Format32bppArgb);
Graphics gBmp = Graphics.FromImage(bmp);
gBmp.CompositingMode = System.Drawing.Drawing2D.CompositingMode.SourceCopy;
// 創建一個帶有Alpha的紅色區域
// 並將其畫在內存的位圖裡面
Color red = Color.FromArgb(0x60, 0xff, 0, 0);
Brush redBrush = new SolidBrush(red);
gBmp.FillEllipse(redBrush, 70, 70, 160, 160);
// 創建一個帶有Alpha的綠色區域
Color green = Color.FromArgb(0x40, 0, 0xff, 0);
Brush greenBrush = new SolidBrush(green);
gBmp.FillRectangle(greenBrush, 10, 10, 140, 140);
//在窗體上面畫出位圖 now draw the bitmap on our window
gForm.DrawImage(bmp, 20, 20, bmp.Width, bmp.Height);
// 清理資源
bmp.Dispose();
gBmp.Dispose();
redBrush.Dispose();
greenBrush.Dispose();
}
//在窗體上面繪圖並顯示圖像
private void Form1_Paint(object sender, System.Windows.Forms.PaintEventArgs e)
{Graphics g = e.Graphics;
Pen blackPen = new Pen(Color.Black, 1);
if (ClientRectangle.Height / 10 > 0)
{for (int y = 0; y < ClientRectangle.Height; y += ClientRectangle.Height / 10)
{g.DrawLine(blackPen, new Point(0, 0), new Point(ClientRectangle.Width, y));
}
}
blackPen.Dispose();
}
C# 使用Bitmap類進行圖片裁剪
在Mapwin（手機游戲地圖編輯器）生成的地圖txt文件中添加自己需要處理的數據後轉換成可在手機（Ophone）開發環境中使用的字節流地圖文件的小工具，其中就涉及到圖片的裁剪和生成了。有以下幾種方式。
方法一：拷貝像素。
當然這種方法是最笨的，效率也就低了些。
在Bitmap類中我們可以看到這樣兩個方法：GetPixel（int x, int y）和SetPixel（int x, int y, Color color）方法。從字面的含以上就知道前者是獲取圖像某點像素值，是用Color對象返回的；後者是將已知像素描畫到制定的位置。
下面就來做個實例檢驗下：
1.首先創建一個Windows Form窗體程序，往該窗體上拖放7個PictureBox控件，第一個用於放置並顯示原始的大圖片，其後6個用於放置並顯示裁剪後新生成的6個小圖；
2.放置原始大圖的PictureBox控件name屬性命名為pictureBoxBmpRes，其後pictureBox1到pictureBox6依次命名，並放置在合適的位置；
3.雙擊Form窗體，然後在Form1_Load事件中加入下面的代碼即可。
//導入圖像資源
Bitmap bmpRes = null;
String strPath = Application.ExecutablePath;
try{ int nEndIndex = strPath.LastIndexOf('//');strPath = strPath.Substring(0,nEndIndex) + "//Bmp//BmpResMM.bmp";
bmpRes = new Bitmap(strPath);
//窗體上顯示加載圖片
pictureBoxBmpRes.Width = bmpRes.Width;
pictureBoxBmpRes.Height = bmpRes.Height;
pictureBoxBmpRes.Image = bmpRes;
}
catch(Exception ex)
{ System.Windows.Forms.MessageBox.Show("圖片資源加載失敗！/r/n" + ex.ToString());}
//裁剪圖片(裁成2行3列的6張圖片)
int nYClipNum = 2, nXClipNum = 3;
Bitmap[] bmpaClipBmpArr = new Bitmap[nYClipNum * nXClipNum];
for (int nYClipNumIndex = 0; nYClipNumIndex < nYClipNum; nYClipNumIndex++)
{for (int nXClipNumIndex = 0; nXClipNumIndex < nXClipNum; nXClipNumIndex++)
{int nClipWidth = bmpRes.Width / nXClipNum;
int nClipHight = bmpRes.Height / nYClipNum;
int nBmpIndex = nXClipNumIndex + nYClipNumIndex * nYClipNum + (nYClipNumIndex > 0?1:0);
bmpaClipBmpArr[nBmpIndex] = new Bitmap(nClipWidth, nClipHight);
for(int nY = 0; nY < nClipHight; nY++)
{for(int nX = 0; nX < nClipWidth; nX++)
{int nClipX = nX + nClipWidth * nXClipNumIndex;
int nClipY = nY + nClipHight * nYClipNumIndex;
Color cClipPixel = bmpRes.GetPixel(nClipX, nClipY);
bmpaClipBmpArr[nBmpIndex].SetPixel(nX, nY, cClipPixel);
}
}
}
}
PictureBox[] picbShow = new PictureBox[nYClipNum * nXClipNum];
picbShow[0] = pictureBox1;
picbShow[1] = pictureBox2;
picbShow[2] = pictureBox3;
picbShow[3] = pictureBox4;
picbShow[4] = pictureBox5;
picbShow[5] = pictureBox6;
for (int nLoop = 0; nLoop < nYClipNum * nXClipNum; nLoop++)
{picbShow[nLoop].Width = bmpRes.Width / nXClipNum;
picbShow[nLoop].Height = bmpRes.Height / nYClipNum;
picbShow[nLoop].Image = bmpaClipBmpArr[nLoop];
}
現在看看那些地方需要注意的了。其中
int nBmpIndex =
nXClipNumIndex + nYClipNumIndex * nYClipNum + (nYClipNumIndex > 0?1:0);
這句定義了存儲裁剪圖片對象在數組中的索引，需要注意的就是後面的(nYClipNumIndex > 0?1:0)——因為只有當裁剪的對象處於第一行以外的行時需要將索引加1；
另外，因為這種方法的效率不高，程序運行起來還是頓了下。如果有興趣的話，可以將以上的代碼放到一個按鈕Click事件函數中，當單擊該按鈕時就可以感覺到了。
方法二：運用Clone函數局部復制。
同樣在Bitmap中可以找到Clone（）方法，該方法有三個重載方法。Clone（），Clone（Rectangle， PixelFormat）和Clone（RectangleF， PixelFormat）。第一個方法將創建並返回一個精確的實例對象，後兩個就是我們這裡需要用的局部裁剪了（其實後兩個方法本人覺得用法上差不多）。
將上面的程序稍稍改進下——將裁剪的處理放到一個按鈕事件函數中，然後再托一個按鈕好窗體上，最後將下面的代碼復制到該按鈕的事件函數中。
for (int nYClipNumIndex = 0; nYClipNumIndex < nYClipNum; nYClipNumIndex++)
{for (int nXClipNumIndex = 0; nXClipNumIndex < nXClipNum; nXClipNumIndex++)
{int nClipWidth = bmpRes.Width / nXClipNum;
int nClipHight = bmpRes.Height / nYClipNum;
int nBmpIndex =
nXClipNumIndex + nYClipNumIndex * nYClipNum + (nYClipNumIndex > 0 ? 1 : 0);
Rectangle rClipRect = new Rectangle(nClipWidth * nXClipNumIndex,
nClipHight * nYClipNumIndex,
nClipWidth,
nClipHight);
bmpaClipBmpArr[nBmpIndex] = bmpRes.Clone(rClipRect, bmpRes.PixelFormat);
}
}
運行程序，單擊按鈕檢驗下，發現速度明顯快可很多。
其實這種方法較第一中方法不同的地方僅只是變換了for循環中的拷貝部分的處理，
Rectangle rClipRect = new Rectangle(nClipWidth * nXClipNumIndex,
nClipHight * nYClipNumIndex,
nClipWidth,
nClipHight);
bmpaClipBmpArr[nBmpIndex] = bmpRes.Clone(rClipRect, bmpRes.PixelFormat);
一. 底片效果
原理: GetPixel方法獲得每一點像素的值, 然後再使用SetPixel方法將取反後的顏色值設置到對應的點.
效果圖:
代碼實現:
private void button1_Click(object sender, EventArgs e)
{//以底片效果顯示圖像
try
{int Height = this.pictureBox1.Image.Height;
int Width = this.pictureBox1.Image.Width;
Bitmap newbitmap = new Bitmap(Width, Height);
Bitmap oldbitmap = (Bitmap)this.pictureBox1.Image;
Color pixel;
for (int x = 1; x < Width; x++)
{for (int y = 1; y < Height; y++)
{int r, g, b;
pixel = oldbitmap.GetPixel(x, y);
r = 255 - pixel.R;
g = 255 - pixel.G;
b = 255 - pixel.B;
newbitmap.SetPixel(x, y, Color.FromArgb(r, g, b));
}
}
this.pictureBox1.Image = newbitmap;
}
catch (Exception ex)
{MessageBox.Show(ex.Message, "信息提示", MessageBoxButtons.OK, MessageBoxIcon.Information);
}
}
二. 浮雕效果
原理: 對圖像像素點的像素值分別與相鄰像素點的像素值相減後加上128, 然後將其作為新的像素點的值.
效果圖:
代碼實現:
private void button1_Click(object sender, EventArgs e)
{//以浮雕效果顯示圖像
try
{int Height = this.pictureBox1.Image.Height;
int Width = this.pictureBox1.Image.Width;
Bitmap newBitmap = new Bitmap(Width, Height);
Bitmap oldBitmap = (Bitmap)this.pictureBox1.Image;
Color pixel1, pixel2;
for (int x = 0; x < Width - 1; x++)
{for (int y = 0; y < Height - 1; y++)
{int r = 0, g = 0, b = 0;
pixel1 = oldBitmap.GetPixel(x, y);
pixel2 = oldBitmap.GetPixel(x + 1, y + 1);
r = Math.Abs(pixel1.R - pixel2.R + 128);
g = Math.Abs(pixel1.G - pixel2.G + 128);
b = Math.Abs(pixel1.B - pixel2.B + 128);
if (r > 255)
r = 255;
if (r < 0)
r = 0;
if (g > 255)
g = 255;
if (g < 0)
g = 0;
if (b > 255)
b = 255;
if (b < 0)
b = 0;
newBitmap.SetPixel(x, y, Color.FromArgb(r, g, b));
}
}
this.pictureBox1.Image = newBitmap;
}
catch (Exception ex)
{MessageBox.Show(ex.Message, "信息提示", MessageBoxButtons.OK, MessageBoxIcon.Information);
}
}
三. 黑白效果
原理: 彩色圖像處理成黑白效果通常有3種算法；
(1).最大值法: 使每個像素點的 R, G, B 值等於原像素點的 RGB (顏色值) 中最大的一個；
(2).平均值法: 使用每個像素點的 R,G,B值等於原像素點的RGB值的平均值；
(3).加權平均值法: 對每個像素點的 R, G, B值進行加權
---自認為第三種方法做出來的黑白效果圖像最 "真實".
效果圖:
代碼實現:
private void button1_Click(object sender, EventArgs e)
{//以黑白效果顯示圖像
try
{int Height = this.pictureBox1.Image.Height;
int Width = this.pictureBox1.Image.Width;
Bitmap newBitmap = new Bitmap(Width, Height);
Bitmap oldBitmap = (Bitmap)this.pictureBox1.Image;
Color pixel;
for (int x = 0; x < Width; x++)
for (int y = 0; y < Height; y++)
{pixel = oldBitmap.GetPixel(x, y);
int r, g, b, Result = 0;
r = pixel.R;
g = pixel.G;
b = pixel.B;
//實例程序以加權平均值法產生黑白圖像
int iType =2;
switch (iType)
{case 0://平均值法
Result = ((r + g + b) / 3);
break;
case 1://最大值法
Result = r > g ? r : g;
Result = Result > b ? Result : b;
break;
case 2://加權平均值法
Result = ((int)(0.7 * r) + (int)(0.2 * g) + (int)(0.1 * b));
break;
}
newBitmap.SetPixel(x, y, Color.FromArgb(Result, Result, Result));
}
this.pictureBox1.Image = newBitmap;
}
catch (Exception ex)
{MessageBox.Show(ex.Message, "信息提示");
}
}
四. 柔化效果
原理: 當前像素點與周圍像素點的顏色差距較大時取其平均值.
效果圖:
代碼實現:
private void button1_Click(object sender, EventArgs e)
{//以柔化效果顯示圖像
try
{int Height = this.pictureBox1.Image.Height;
int Width = this.pictureBox1.Image.Width;
Bitmap bitmap = new Bitmap(Width, Height);
Bitmap MyBitmap = (Bitmap)this.pictureBox1.Image;
Color pixel;
//高斯模板
int[] Gauss ={ 1, 2, 1, 2, 4, 2, 1, 2, 1 };for (int x = 1; x < Width - 1; x++)
for (int y = 1; y < Height - 1; y++)
{int r = 0, g = 0, b = 0;
int Index = 0;
for (int col = -1; col <= 1; col++)
for (int row = -1; row <= 1; row++)
{pixel = MyBitmap.GetPixel(x + row, y + col);
r += pixel.R * Gauss[Index];
g += pixel.G * Gauss[Index];
b += pixel.B * Gauss[Index];
Index++;
}
r /= 16;
g /= 16;
b /= 16;
//處理顏色值溢出
r = r > 255 ? 255 : r;
r = r < 0 ? 0 : r;
g = g > 255 ? 255 : g;
g = g < 0 ? 0 : g;
b = b > 255 ? 255 : b;
b = b < 0 ? 0 : b;
bitmap.SetPixel(x - 1, y - 1, Color.FromArgb(r, g, b));
}
this.pictureBox1.Image = bitmap;
}
catch (Exception ex)
{MessageBox.Show(ex.Message, "信息提示");
}
}
五.銳化效果
原理:突出顯示顏色值大(即形成形體邊緣)的像素點.
效果圖:
實現代碼:
private void button1_Click(object sender, EventArgs e)
{//以銳化效果顯示圖像
try
{int Height = this.pictureBox1.Image.Height;
int Width = this.pictureBox1.Image.Width;
Bitmap newBitmap = new Bitmap(Width, Height);
Bitmap oldBitmap = (Bitmap)this.pictureBox1.Image;
Color pixel;
//拉普拉斯模板
int[] Laplacian ={ -1, -1, -1, -1, 9, -1, -1, -1, -1 };for (int x = 1; x < Width - 1; x++)
for (int y = 1; y < Height - 1; y++)
{int r = 0, g = 0, b = 0;
int Index = 0;
for (int col = -1; col <= 1; col++)
for (int row = -1; row <= 1; row++)
{pixel = oldBitmap.GetPixel(x + row, y + col); r += pixel.R * Laplacian[Index];
g += pixel.G * Laplacian[Index];
b += pixel.B * Laplacian[Index];
Index++;
}
//處理顏色值溢出
r = r > 255 ? 255 : r;
r = r < 0 ? 0 : r;
g = g > 255 ? 255 : g;
g = g < 0 ? 0 : g;
b = b > 255 ? 255 : b;
b = b < 0 ? 0 : b;
newBitmap.SetPixel(x - 1, y - 1, Color.FromArgb(r, g, b));
}
this.pictureBox1.Image = newBitmap;
}
catch (Exception ex)
{MessageBox.Show(ex.Message, "信息提示");
}
}
六. 霧化效果
原理: 在圖像中引入一定的隨機值, 打亂圖像中的像素值
效果圖:
實現代碼:
private void button1_Click(object sender, EventArgs e)
{//以霧化效果顯示圖像
try
{int Height = this.pictureBox1.Image.Height;
int Width = this.pictureBox1.Image.Width;
Bitmap newBitmap = new Bitmap(Width, Height);
Bitmap oldBitmap = (Bitmap)this.pictureBox1.Image;
Color pixel;
for (int x = 1; x < Width - 1; x++)
for (int y = 1; y < Height - 1; y++)
{System.Random MyRandom = new Random();
int k = MyRandom.Next(123456);
//像素塊大小
int dx = x + k % 19;
int dy = y + k % 19;
if (dx >= Width)
dx = Width - 1;
if (dy >= Height)
dy = Height - 1;
pixel = oldBitmap.GetPixel(dx, dy);
newBitmap.SetPixel(x, y, pixel);
}
this.pictureBox1.Image = newBitmap;
}
catch (Exception ex)
{MessageBox.Show(ex.Message, "信息提示");
}
}
淺談Visual C#進行圖像處理
作者：彭軍 http://pengjun.org.cn
這裡之所以說“淺談”是因為我這裡只是簡單的介紹如何使用Visual C#進行圖像的讀入、保存以及對像素的訪問。而不涉及太多的算法。
一、讀入圖像
在Visual C#中我們可以使用一個Picture Box控件來顯示圖片，如下：
private void btnOpenImage_Click(object sender, EventArgs e)
{OpenFileDialog ofd = new OpenFileDialog();
ofd.Filter = "BMP Files(*.bmp)|*.bmp|JPG Files(*.jpg;*.jpeg)|*.jpg;*.jpeg|All Files(*.*)|*.*";
ofd.CheckFileExists = true;
ofd.CheckPathExists = true;
if (ofd.ShowDialog() == DialogResult.OK)
{//pbxShowImage.ImageLocation = ofd.FileName;
bmp = new Bitmap(ofd.FileName);
if (bmp==null)
{ MessageBox.Show("加載圖片失敗!", "錯誤");return;
}
pbxShowImage.Image = bmp;
ofd.Dispose();
}
}
其中bmp為類的一個對象：private Bitmap bmp=null;
在使用Bitmap類和BitmapData類之前，需要使用using System.Drawing.Imaging;
二、保存圖像
private void btnSaveImage_Click(object sender, EventArgs e)
{if (bmp == null) return;
SaveFileDialog sfd = new SaveFileDialog();
sfd.Filter = "BMP Files(*.bmp)|*.bmp|JPG Files(*.jpg;*.jpeg)|*.jpg;*.jpeg|All Files(*.*)|*.*";
if (sfd.ShowDialog() == DialogResult.OK)
{pbxShowImage.Image.Save(sfd.FileName);
MessageBox.Show("保存成功!","提示");sfd.Dispose();
}
}
三、對像素的訪問
我們可以來建立一個GrayBitmapData類來做相關的處理。整個類的程序如下：
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Drawing;
using System.Drawing.Imaging;
using System.Windows.Forms;
namespace ImageElf
{class GrayBitmapData
{public byte[,] Data;//保存像素矩陣
public int Width;//圖像的寬度
public int Height;//圖像的高度
public GrayBitmapData()
{this.Width = 0;
this.Height = 0;
this.Data = null;
}
public GrayBitmapData(Bitmap bmp)
{BitmapData bmpData = bmp.LockBits(new Rectangle(0, 0, bmp.Width, bmp.Height), ImageLockMode.ReadOnly, PixelFormat.Format24bppRgb);
this.Width = bmpData.Width;
this.Height = bmpData.Height;
Data = new byte[Height, Width];
unsafe
{byte* ptr = (byte*)bmpData.Scan0.ToPointer();
for (int i = 0; i < Height; i++)
{for (int j = 0; j < Width; j++)
{//將24位的RGB彩色圖轉換為灰度圖
int temp = (int)(0.114 * (*ptr++)) + (int)(0.587 * (*ptr++))+(int)(0.299 * (*ptr++));
Data[i, j] = (byte)temp;
}
ptr += bmpData.Stride - Width * 3;//指針加上填充的空白空間
}
}
bmp.UnlockBits(bmpData);
}
public GrayBitmapData(string path)
: this(new Bitmap(path))
{}
public Bitmap ToBitmap()
{Bitmap bmp=new Bitmap(Width,Height,PixelFormat.Format24bppRgb);
BitmapData bmpData=bmp.LockBits(new Rectangle(0,0,Width,Height),ImageLockMode.WriteOnly,PixelFormat.Format24bppRgb);
unsafe
{byte* ptr=(byte*)bmpData.Scan0.ToPointer();
for(int i=0;i<Height;i++)
{for(int j=0;j<Width;j++)
{*(ptr++)=Data[i,j];
*(ptr++)=Data[i,j];
*(ptr++)=Data[i,j];
}
ptr+=bmpData.Stride-Width*3;
}
}
bmp.UnlockBits(bmpData);
return bmp;
}
public void ShowImage(PictureBox pbx)
{Bitmap b = this.ToBitmap();
pbx.Image = b;
//b.Dispose();
}
public void SaveImage(string path)
{Bitmap b=ToBitmap();
b.Save(path);
//b.Dispose();
}
//均值濾波
public void AverageFilter(int windowSize)
{if (windowSize % 2 == 0)
{return;
}
for (int i = 0; i < Height; i++)
{for (int j = 0; j < Width; j++)
{int sum = 0;
for (int g = -(windowSize - 1) / 2; g <= (windowSize - 1) / 2; g++)
{for (int k = -(windowSize - 1) / 2; k <= (windowSize - 1) / 2; k++)
{int a = i + g, b = j + k;
if (a < 0) a = 0;
if (a > Height - 1) a = Height - 1;
if (b < 0) b = 0;
if (b > Width - 1) b = Width - 1;
sum += Data[a, b];
}
}
Data[i,j]=(byte)(sum/(windowSize*windowSize));
}
}
}
//中值濾波
public void MidFilter(int windowSize)
{if (windowSize % 2 == 0)
{return;
}
int[] temp = new int[windowSize * windowSize];
byte[,] newdata = new byte[Height, Width];
for (int i = 0; i < Height; i++)
{for (int j = 0; j < Width; j++)
{int n = 0;
for (int g = -(windowSize - 1) / 2; g <= (windowSize - 1) / 2; g++)
{for (int k = -(windowSize - 1) / 2; k <= (windowSize - 1) / 2; k++)
{int a = i + g, b = j + k;
if (a < 0) a = 0;
if (a > Height - 1) a = Height - 1;
if (b < 0) b = 0;
if (b > Width - 1) b = Width - 1;
temp[n++]= Data[a, b];
}
}
newdata[i, j] = GetMidValue(temp,windowSize*windowSize);
}
}
for (int i = 0; i < Height; i++)
{for (int j = 0; j < Width; j++)
{Data[i, j] = newdata[i, j];
}
}
}
//獲得一個向量的中值
private byte GetMidValue(int[] t, int length)
{int temp = 0;
for (int i = 0; i < length - 2; i++)
{for (int j = i + 1; j < length - 1; j++)
{if (t[i] > t[j])
{temp = t[i];
t[i] = t[j];
t[j] = temp;
}
}
}
return (byte)t[(length - 1) / 2];
}
//一種新的濾波方法，是亮的更亮、暗的更暗
public void NewFilter(int windowSize)
{if (windowSize % 2 == 0)
{return;
}
for (int i = 0; i < Height; i++)
{for (int j = 0; j < Width; j++)
{int sum = 0;
for (int g = -(windowSize - 1) / 2; g <= (windowSize - 1) / 2; g++)
{for (int k = -(windowSize - 1) / 2; k <= (windowSize - 1) / 2; k++)
{int a = i + g, b = j + k;
if (a < 0) a = 0;
if (a > Height - 1) a = Height - 1;
if (b < 0) b = 0;
if (b > Width - 1) b = Width - 1;
sum += Data[a, b];
}
}
double avg = (sum+0.0) / (windowSize * windowSize);
if (avg / 255 < 0.5)
{Data[i, j] = (byte)(2 * avg / 255 * Data[i, j]);
}
else
{Data[i,j]=(byte)((1-2*(1-avg/255.0)*(1-Data[i,j]/255.0))*255);
}
}
}
}
//直方圖均衡
public void HistEqual()
{double[] num = new double[256] ;
for(int i=0;i<256;i++) num[i]=0;
for (int i = 0; i < Height; i++)
{for (int j = 0; j < Width; j++)
{num[Data[i, j]]++;
}
}
double[] newGray = new double[256];
double n = 0;
for (int i = 0; i < 256; i++)
{n += num[i];
newGray[i] = n * 255 / (Height * Width);
}
for (int i = 0; i < Height; i++)
{for (int j = 0; j < Width; j++)
{Data[i,j]=(byte)newGray[Data[i,j]];
}
}
}
}
}
在GrayBitmapData類中，只要我們對一個二維數組Data進行一系列的操作就是對圖片的操作處理。在窗口上，我們可以使用
一個按鈕來做各種調用：
//均值濾波
private void btnAvgFilter_Click(object sender, EventArgs e)
{if (bmp == null) return;
GrayBitmapData gbmp = new GrayBitmapData(bmp);
gbmp.AverageFilter(3);
gbmp.ShowImage(pbxShowImage);
}
//轉換為灰度圖
private void btnToGray_Click(object sender, EventArgs e)
{if (bmp == null) return;
GrayBitmapData gbmp = new GrayBitmapData(bmp);
gbmp.ShowImage(pbxShowImage);
}
四、總結
在Visual c#中對圖像進行處理或訪問，需要先建立一個Bitmap對象，然後通過其LockBits方法來獲得一個BitmapData類的對象，然後通過獲得其像素數據的首地址來對Bitmap對象的像素數據進行操作。當然，一種簡單但是速度慢的方法是用Bitmap類的GetPixel和SetPixel方法。其中BitmapData類的Stride屬性為每行像素所占的字節。
A32 是排列 C32 是組合
比如A32 就是3乘以2 等於6
A 6 3 就是6*5*4
就是從大數開始乘後面那個數表示有多少個數 A 7 2 等於 7*6* 2就有兩位 A 5 2 =5*4
那麼C 3 2 就是還要除以一個 數 比如 C 3 2 就是 A 3 2 再除以 A 22
C 5 3 就是 A 5 3 除以 A 3 3
相當清楚了嗎 樓主 手打字 求給分
A32 是排列 C32 是組合
比如A32 就是3乘以2 等於6
A 6 3 就是6*5*4
就是從大數開始乘後面那個數表示有多少個數 A 7 2 等於 7*6* 2就有兩位 A 5 2 =5*4
那麼C 3 2 就是還要除以一個 數 比如 C 3 2 就是 A 3 2 再除以 A 22
C 5 3 就是 A 5 3 除以 A 3 3
相當清楚了嗎 樓主 手打字 求給分
