一. 以底片效果显示图像
原理: 底片中的每个像素点颜色值都是正常图像对应像素点颜色值的取反( 满色为255).
( 关于颜色的相关技术请参考其他资料, 此处不补课 )
1.通过 GetPixel 方法获得图像中每一点像素的值,
2.再使用 SetPixel 方法将取反后的颜色值设置到对应的点...
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;
}
二. 以浮雕效果显示图像
原理: 通过对图像像素点的像素值与相邻像素点的像素值相减后加上128, 然后作为新的像素点的值...
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;
}
三. 以黑白效果显示图像
原理: 彩色图像处理成黑白效果时常用的三种方法. 1.最大值法, 2.平均值法, 3.加权平均值法..
平均值法为例: 是取每一个像素点颜色值的 红,绿, 蓝. 相加除以 3 做为该像素点新的颜色值
即: ((R + G + B) / 3) .
注: 每种方法产生黑白效果的最终效果不一样, 加权平均值法产生的黑白效果最 "真实" .
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;
//实例程序以加权平均值法产生黑白图像
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://加权平均值法
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;
}
四. 以柔化效果显示图像
原理: 当前像素点与周围像素点的颜色差距较大时取其平均值 ...算法: 高斯模板
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;
//处理颜色值溢出
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;
}
五. 以锐化效果显示图像
原理: 获取图像有关形体的边缘, 并突出显示.
try
{
int Height = this.pictureBox1.Image.Height;
int Width = this.pictureBox1.Image.Width;
newBitmap = new Bitmap(Width, Height);
// 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++;
}
//处理颜色值溢出
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;
}
六. 以雾化效果显示图像
原理: 图像的雾化处理不是基于图像中像素点之间的计算,而是给图像像素的颜色值引入一定的随机值, 使图像具有毛玻璃带水雾般的效果..
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);
//像素块大小
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;
}
七. 以光照效果显示图像
原理: 按照一定的规则对图像中某范围内像素的亮度进行处理后, 能够产生类似光照的效果...
Graphics MyGraphics = this.pictureBox1.CreateGraphics();
MyGraphics.Clear(Color.White);
Bitmap MyBmp = new Bitmap(this.pictureBox1.Image, this.pictureBox1.Width, this.pictureBox1.Height);
int MyWidth = MyBmp.Width;
int MyHeight = MyBmp.Height;
Bitmap MyImage = MyBmp.Clone(new RectangleF(0, 0, MyWidth, MyHeight), System.Drawing.Imaging.PixelFormat.DontCare);
int A = Width / 2;
int B = Height / 2;
//MyCenter图片中心点，发亮此值会让强光中心发生偏移
Point MyCenter = new Point(MyWidth / 2, MyHeight / 2);
//R强光照射面的半径，即”光晕”
int R = Math.Min(MyWidth / 2, MyHeight / 2);
for (int i = MyWidth - 1; i >= 1; i--)
{
for (int j = MyHeight - 1; j >= 1; j--)
{
float MyLength = (float)Math.Sqrt(Math.Pow((i - MyCenter.X), 2) + Math.Pow((j - MyCenter.Y), 2));
//如果像素位于”光晕”之内
if (MyLength < R)
{
Color MyColor = MyImage.GetPixel(i, j);
int r, g, b;
//220亮度增加常量，该值越大，光亮度越强
float MyPixel = 220.0f * (1.0f - MyLength / R);
r = MyColor.R + (int)MyPixel;
r = Math.Max(0, Math.Min(r, 255));
g = MyColor.G + (int)MyPixel;
g = Math.Max(0, Math.Min(g, 255));
b = MyColor.B + (int)MyPixel;
b = Math.Max(0, Math.Min(b, 255));
//将增亮后的像素值回写到位图
Color MyNewColor = Color.FromArgb(255, r, g, b);
MyImage.SetPixel(i, j, MyNewColor);
}
}
//重新绘制图片
MyGraphics.DrawImage(MyImage, new Rectangle(0, 0, MyWidth, MyHeight));
}
八. 以百叶效果显示图像
原理: 根据图像的高度或宽度和定制的百叶窗显示条宽度计算百叶窗显示的条目数量
try
{
MyBitmap = (Bitmap)this.pictureBox1.Image.Clone();
int dw = MyBitmap.Width / 30;
int dh = MyBitmap.Height;
Graphics g = this.pictureBox1.CreateGraphics();
g.Clear(Color.Gray);
Point[] MyPoint = new Point[30];
for (int x = 0; x < 30; x++)
{
MyPoint[x].Y = 0;
MyPoint[x].X = x * dw;
}
Bitmap bitmap = new Bitmap(MyBitmap.Width, MyBitmap.Height);
for (int i = 0; i < dw; i++)
{
for (int j = 0; j < 30; j++)
{
for (int k = 0; k < dh; k++)
{
bitmap.SetPixel(MyPoint[j].X + i, MyPoint[j].Y + k,
MyBitmap.GetPixel(MyPoint[j].X + i, MyPoint[j].Y + k));
}
}
this.pictureBox1.Refresh();
this.pictureBox1.Image = bitmap;
System.Threading.Thread.Sleep(100);
}
}
catch (Exception ex)
{
MessageBox.Show(ex.Message, "信息提示");
}
try
{
MyBitmap = (Bitmap)this.pictureBox1.Image.Clone();
int dh = MyBitmap.Height / 20;
int dw = MyBitmap.Width;
Graphics g = this.pictureBox1.CreateGraphics();
g.Clear(Color.Gray);
Point[] MyPoint = new Point[20];
for (int y = 0; y < 20; y++)
{
MyPoint[y].X = 0;
MyPoint[y].Y = y * dh;
}
Bitmap bitmap = new Bitmap(MyBitmap.Width, MyBitmap.Height);
for (int i = 0; i < dh; i++)
{
for (int j = 0; j < 20; j++)
{
for (int k = 0; k < dw; k++)
{
bitmap.SetPixel(MyPoint[j].X + k, MyPoint[j].Y + i, MyBitmap.GetPixel(MyPoint[j].X + k, MyPoint[j].Y + i));
}
}
this.pictureBox1.Refresh();
this.pictureBox1.Image = bitmap;
System.Threading.Thread.Sleep(100);
}
}
九. 马赛克效果显示图像
原理: 确定随机位置点和确定图像块的大小, 然后随机改变确定每一个图像块中像素的值...
try
{
int dw = MyBitmap.Width / 50;
int dh = MyBitmap.Height / 50;
Graphics g = this.pictureBox1.CreateGraphics();
g.Clear(Color.Gray);
Point[] MyPoint = new Point[2500];
for (int x = 0; x < 50; x++)
for (int y = 0; y < 50; y++)
{
MyPoint[x * 50 + y].X = x * dw;
MyPoint[x * 50 + y].Y = y * dh;
}
Bitmap bitmap = new Bitmap(MyBitmap.Width, MyBitmap.Height);
for (int i = 0; i < 10000; i++)
{
System.Random MyRandom = new Random();
int iPos = MyRandom.Next(2500);
for (int m = 0; m < dw; m++)
for (int n = 0; n < dh; n++)
{
bitmap.SetPixel(MyPoint[iPos].X + m, MyPoint[iPos].Y + n, MyBitmap.GetPixel(MyPoint[iPos].X + m, MyPoint[iPos].Y + n));
}
this.pictureBox1.Refresh();
this.pictureBox1.Image = bitmap;
}
for (int i = 0; i < 2500; i++)
for (int m = 0; m < dw; m++)
for (int n = 0; n < dh; n++)
{
bitmap.SetPixel(MyPoint[i].X + m, MyPoint[i].Y + n, MyBitmap.GetPixel(MyPoint[i].X + m, MyPoint[i].Y + n));
}
this.pictureBox1.Refresh();
this.pictureBox1.Image = bitmap;
}
十. 以油画效果显示图像
原理: 图像每个像素点所在的坐标值整除一个随机数, 记为iModel,然后将该点的RGB值设置成附近iModel点之内的任一点
Graphics g = this.panel1.CreateGraphics();
//Bitmap bitmap = this.MyBitmap;
//取得图片尺寸
int width = MyBitmap.Width;
int height = MyBitmap.Height;
RectangleF rect = new RectangleF(0, 0, width, height);
Bitmap img = MyBitmap.Clone(rect, System.Drawing.Imaging.PixelFormat.DontCare);
//产生随机数序列
Random rnd = new Random();
//取不同的值决定油画效果的不同程度
int iModel = 2;
int i = width - iModel;
while (i > 1)
{
int j = height - iModel;
while (j > 1)
{
int iPos = rnd.Next(100000) % iModel;
//将该点的RGB值设置成附近iModel点之内的任一点
Color color = img.GetPixel(i + iPos, j + iPos);
img.SetPixel(i, j, color);
j = j - 1;
}
i = i - 1;
}
//重新绘制图像
g.Clear(Color.White);
g.DrawImage(img, new Rectangle(0, 0, width, height));
十一. 以扭曲效果显示图像
原理: 将每一个像素的 RGB 值加上它自身的坐标值即可
Size offset =new Size (w++,h++);//设置偏移量
Graphics g = panel1.CreateGraphics();
Rectangle rect = this.panel1.ClientRectangle;
Point[] points = new Point[3];
points[0] = new Point(rect.Left+offset.Width ,rect.Top +offset .Height);
points[1] = new Point(rect.Right, rect.Top + offset.Height);
points[2] = new Point(rect.Left, rect.Bottom - offset.Height);
g.Clear(Color.White);
g.DrawImage(MyBitmap, points);
十二. 以积木效果显示图像
原理: Color 类的 FromArgb 方法定义一组颜色, 然后使用 Bitmap 对象的 SetPixel 方法为图像中的各像素点重新着色..
try
{
Graphics myGraphics = this.panel1.CreateGraphics ();
//Bitmap myBitmap = new Bitmap(this.BackgroundImage);
int myWidth, myHeight, i, j, iAvg, iPixel;
Color myColor, myNewColor;
RectangleF myRect;
myWidth = MyBitmap.Width;
myHeight = MyBitmap.Height;
myRect = new RectangleF(0, 0, myWidth, myHeight);
Bitmap bitmap = MyBitmap.Clone(myRect, System.Drawing.Imaging.PixelFormat.DontCare);
i = 0;
while (i < myWidth - 1)
{
j = 0;
while (j < myHeight - 1)
{
myColor = bitmap.GetPixel(i, j);
iAvg = (myColor.R + myColor.G + myColor.B) / 3;
iPixel = 0;
if (iAvg >= 128)
iPixel = 255;
else
iPixel = 0;
myNewColor = Color.FromArgb(255, iPixel, iPixel, iPixel);
bitmap.SetPixel(i, j, myNewColor);
j = j + 1;
}
i = i + 1;
}
myGraphics.Clear(Color.WhiteSmoke);
myGraphics.DrawImage(bitmap, new Rectangle(0, 0, myWidth, myHeight));
}
说明: 其实图像显示效果无法一一枚举.这里只列出最常用的12 种效果关键代码部分.
全部的代码演示会有后续补充.
这个图像处理软件是我和几个朋友在工作之余所做. 这里只贴出部分功能,
技术有限, 错误难免, 出错之处还望指出.
制作这个软件没有什么特别的目的, 只是心血来潮, 只是觉得好玩.
一般的, 当我们启动一个应用程序后, 普通的应用程序窗口都是瞬间显示到屏幕上. 您是否想象过这样一种情景 : 打开一个应用程序后, 窗口的显示跟幻灯片一样变幻莫测,丰富多彩? 也许不能登大雅之堂, 但至少可以娱乐自己.
好了, 进入正题: 您现在可以想象这样一幅画面: 当您启动一个应用程序后, 显示器中央出现一个小点, 然后慢慢变大, 向四周不断扩展, 直到窗口全部显示. 而当您关闭它时它又会从上向下慢慢地从显示器中消失.... 这将是什么效果? 呵呵, 如果您愿意, 下面就跟着我一起完成这样一个伟大的梦想吧.
设计思路是什么呢? 如果您很聪明, 会马上意识到这个工程很可能要用到 Windows提供 API. 上网一查, 果然有一个函数 : AnimateWindow, 它可以实现窗体的动画效果. 所以剩下的工作就是查看 MSDN, 了解更多的关于 AnimateWindow 函数的信息.
下面结合本例详细介绍 AnimateWindow 函数在 C#中的应用.
声明方式:
[DllImportAttribute("user32.dll")]
private static extern bool AnimateWindow(IntPtr hwnd, int dwTime, int dwFlags);
参数说明:
(1). IntPtr hwnd: 目标窗口的句柄对象, 一般为 this.Handle
(2). int dwTime: 动画的持续时间, 数值越大动画效果的时间越长
(3). int dwFlags: 动画效果类型选项, 在C#中声明如下:
注: 您程序中只声明需要的动画类型即可, 关于每个参数的含义会在后面详细说明
public const Int32 AW_HOR_POSITIVE = 0x00000001;
public const Int32 AW_HOR_NEGATIVE = 0x00000002;
public const Int32 AW_VER_POSITIVE = 0x00000004;
public const Int32 AW_VER_NEGATIVE = 0x00000008;
public const Int32 AW_CENTER = 0x00000010;
public const Int32 AW_HIDE = 0x00010000;
public const Int32 AW_ACTIVATE = 0x00020000;
public const Int32 AW_SLIDE = 0x00040000;
public const Int32 AW_BLEND = 0x00080000;
动画效果类型详细说明表:
1. AW_SLIDE : 使用滑动类型, 默认为该类型. 当使用 AW_CENTER 效果时, 此效果被忽略
2. AW_ACTIVE: 激活窗口, 在使用了 AW_HIDE 效果时不可使用此效果
3. AW_BLEND: 使用淡入效果
4. AW_HIDE: 隐藏窗口
5. AW_CENTER: 与 AW_HIDE 效果配合使用则效果为窗口几内重叠, 单独使用窗口向外扩展.
6. AW_HOR_POSITIVE : 自左向右显示窗口
7. AW_HOR_NEGATIVE: 自右向左显示窗口
8. AW_VER_POSITVE: 自顶向下显示窗口
9. AW_VER_NEGATIVE : 自下向上显示窗口
看懂了这些, 下面我们的工作会变得非常简单.
启动程序后, 动画效果显示窗口的代码如下:
AnimateWindow(this.Handle, 1000, AW_SLIDE + AW_CENTER);
而关闭程序后, 动画效果显示窗口代码如下:
private void Form1_FormClosed(object sender, FormClosedEventArgs e)
{
AnimateWindow(this.Handle, 500, AW_SLIDE + AW_VER_POSITIVE + AW_HIDE);
}
程序的完整代码如下:
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Text;
using System.Windows.Forms;
using System.Runtime.InteropServices;
namespace FalshWindows
{
public partial class Form1 : Form
{
[DllImportAttribute("user32.dll")]
private static extern bool AnimateWindow(IntPtr hwnd, int dwTime, int dwFlags);
public const Int32 AW_HOR_POSITIVE = 0x00000001;
public const Int32 AW_HOR_NEGATIVE = 0x00000002;
public const Int32 AW_VER_POSITIVE = 0x00000004;
public const Int32 AW_VER_NEGATIVE = 0x00000008;
public const Int32 AW_CENTER = 0x00000010;
public const Int32 AW_HIDE = 0x00010000;
public const Int32 AW_ACTIVATE = 0x00020000;
public const Int32 AW_SLIDE = 0x00040000;
public const Int32 AW_BLEND = 0x00080000;
public Form1()
{
InitializeComponent();
AnimateWindow(this.Handle, 1000, AW_SLIDE + AW_CENTER);
}
private void Form1_FormClosed(object sender, FormClosedEventArgs e)
{
AnimateWindow(this.Handle, 500, AW_SLIDE + AW_VER_POSITIVE + AW_HIDE);
}
}
}
后记: 虽为一雕虫小技，但蕴涵着很多思想, 大家可以眼高, 但手一定要底.
必得原理,编程是件很快乐的事.
四 指针法
C/C++的习惯,不是C#的特点
public static Bitmap RGB2Gray(Bitmap srcBitmap)
{
int wide = srcBitmap.Width;
int height = srcBitmap.Height ;
Rectangle rect = new Rectangle(0, 0, wide, height);
BitmapData srcBmData = srcBitmap.LockBits(rect,
ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
Bitmap dstBitmap = CreateGrayscaleImage(wide, height);
BitmapData dstBmData = dstBitmap.LockBits(rect,
ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed);
System.IntPtr srcScan = srcBmData.Scan0;
System.IntPtr dstScan = dstBmData.Scan0;
Unsafe //启动不安全代码
{
byte* srcP = (byte*)(void*) srcScan;
byte* dstP = (byte*)(void*) dstScan;
int srcOffset = srcBmData.Stride - wide * 3;
int dstOffset = dstBmData.Stride - wide ;
byte red, green, blue;
for (int y = 0; y < height; y++)
{
for (int x = 0; x <wide ; x++, srcP += 3, dstP++)
{
blue = srcP [0];
green = srcP [1];
red = srcP [2];
* dstP = (byte)(.299 * red + .587 * green + .114 * blue);
}
srcP += srcOffset;
dstP += dstOffset;
}
}
srcBitmap.UnlockBits(srcBmData);
dstBitmap.UnlockBits(dstBmData );
return dstBitmap;
}//#
五. 矩阵法
并不是什么新方法,只是将图像数据分做R,G,B三个矩阵(二维数组)存储,类似MATLAB的习惯.
public static bool GetRGB(Bitmap Source, out int[,] R, out int[,] G, out int[,] B)
{
try
{
int iWidth = Source.Width;
int iHeight = Source.Height;
Rectangle rect = new Rectangle(0, 0, iWidth, iHeight);
System.Drawing.Imaging.BitmapData bmpData = Source.LockBits(rect, System.Drawing.Imaging.ImageLockMode.ReadWrite, Source.PixelFormat);
IntPtr iPtr = bmpData.Scan0;
int iBytes = iWidth * iHeight * 3;
byte[] PixelValues = new byte[iBytes];
System.Runtime.InteropServices.Marshal.Copy(iPtr, PixelValues, 0, iBytes);
Source.UnlockBits(bmpData);
// 注意这个地方图像的两维方向与数组两维的方向是转置的关系
R = new int[iHeight, iWidth];
G = new int[iHeight, iWidth];
B = new int[iHeight, iWidth];
int iPoint = 0;
for (int i = 0; i < iHeight; i++)
{
for (int j = 0; j < iWidth; j++)
{
// 注意，Windows 中三基色的排列顺序是 BGR 而不是 RGB！
B[i, j] = Convert.ToInt32(PixelValues[iPoint++]);
G[i, j] = Convert.ToInt32(PixelValues[iPoint++]);
R[i, j] = Convert.ToInt32(PixelValues[iPoint++]);
}
}
return true;
}
catch (Exception)
{
R = null;
G = null;
B = null;
return false;
}
}//#
public static Bitmap FromRGB(int[,] R, int[,] G, int[,] B)
{
int iWidth = G.GetLength(1);
int iHeight = G.GetLength(0);
Bitmap Result = new Bitmap(iWidth, iHeight, System.Drawing.Imaging.PixelFormat.Format24bppRgb);
Rectangle rect = new Rectangle(0, 0, iWidth, iHeight);
System.Drawing.Imaging.BitmapData bmpData = Result.LockBits(rect, System.Drawing.Imaging.ImageLockMode.ReadWrite, System.Drawing.Imaging.PixelFormat.Format24bppRgb);
IntPtr iPtr = bmpData.Scan0;
int iStride = bmpData.Stride;
int iBytes = iWidth * iHeight * 3;
byte[] PixelValues = new byte[iBytes];
int iPoint = 0;
for (int i = 0; i < iHeight; i++)
for (int j = 0; j < iWidth; j++)
{
int iG = G[i, j];
int iB = B[i, j];
int iR = R[i, j];
PixelValues[iPoint] = Convert.ToByte(iB);
PixelValues[iPoint + 1] = Convert.ToByte(iG);
PixelValues[iPoint + 2] = Convert.ToByte(iR);
iPoint += 3;
}
System.Runtime.InteropServices.Marshal.Copy(PixelValues, 0, iPtr, iBytes);
Result.UnlockBits(bmpData);
return Result;
}//#
public static bool GetGray(Bitmap srcBitmap, out byte [,] gray)
{
Bitmap tempBitmap;
if (srcBitmap.PixelFormat != PixelFormat.Format8bppIndexed)
tempBitmap = ImageProcess.Image.Gray(srcBitmap);
else
tempBitmap = srcBitmap;
int wide = tempBitmap.Width;
int height = tempBitmap.Height;
gray = new byte [height, wide];
BitmapData gbmData = tempBitmap.LockBits(new Rectangle(0, 0, wide, height),
ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed);
System.IntPtr ScanG = gbmData.Scan0;
int gOffset = gbmData.Stride - wide;
unsafe
{
byte* g = (byte*)(void*)ScanG;
// for each pixel
for (int y = 0; y < height; y++)
{
// for each pixel
for (int x = 0; x < wide; x++, g++)
{
gray[y ,x ] =*g;
}
g += gOffset;
}
}
tempBitmap.UnlockBits(gbmData);
return true ;
}//#
public static Bitmap FromGray(byte [,] Gray)
{
int iWidth = Gray.GetLength(1);
int iHeight = Gray.GetLength(0);
Bitmap dstBitmap = ImageProcess.Image.CreateGrayscaleImage(iWidth, iHeight);
BitmapData gbmData = dstBitmap.LockBits(new Rectangle(0, 0, iWidth, iHeight),
ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed);
System.IntPtr ScanG = gbmData.Scan0;
int gOffset = gbmData.Stride - iWidth;
unsafe
{
byte* g = (byte*)(void*)ScanG;
// 注意这个地方图像的两维方向与数组两维的方向是转置的关系
for (int i = 0; i < iHeight; i++)
{
for (int j = 0; j < iWidth; j++)
{
*g=(byte )Gray[i, j] ;
g++;
}
g += gOffset;
}
}
dstBitmap.UnlockBits(gbmData);
return dstBitmap;
} //#
/*********************************补充******************************************/
/// <summary>
/// Create and initialize grayscale image
/// </summary>
public static Bitmap CreateGrayscaleImage( int width, int height )
{
// create new image
Bitmap bmp = new Bitmap( width, height, PixelFormat.Format8bppIndexed );
// set palette to grayscale
SetGrayscalePalette( bmp );
// return new image
return bmp;
}//#
/// <summary>
/// Set pallete of the image to grayscale
/// </summary>
public static void SetGrayscalePalette( Bitmap srcImg )
{
// check pixel format
if ( srcImg.PixelFormat != PixelFormat.Format8bppIndexed )
throw new ArgumentException( );
// get palette
ColorPalette cp = srcImg.Palette;
// init palette
for ( int i = 0; i < 256; i++ )
{
cp.Entries[i] = Color.FromArgb( i, i, i );
}
// set palette back
srcImg.Palette = cp;
}//#
/*********************************END********************************************/