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(转)数字图象处理
using System;
using System.Drawing;
using System.Collections;
using System.ComponentModel;
using System.Windows.Forms;
using System.Data;
namespace ShowImage
{
/**//// <SUMMARY>
/// Form1 的摘要说明。
/// </SUMMARY>
public partial class main : System.Windows.Forms.Form
{
public string CurPath;
private System.Windows.Forms.Button Open;
private System.Windows.Forms.PictureBox pictureBox1;
private System.Windows.Forms.Button btnAntiColor;
private System.Windows.Forms.Button btnCancel;
private System.Windows.Forms.Button btnSave;
private System.Windows.Forms.SaveFileDialog saveFileDialog1;
private System.Windows.Forms.Button btnSharp;
private System.Windows.Forms.Button btnNormalShow;
private System.Windows.Forms.Button btnProfile;
private System.Windows.Forms.Button btnerzhihua;
private System.Windows.Forms.Button btnMidfiltrate;
private System.Windows.Forms.Button btnSplit;
private System.Windows.Forms.Button btnSoftHandle;
private System.Windows.Forms.Button button1;
private System.Windows.Forms.Button button2;
private System.Windows.Forms.Button button3;
private System.Windows.Forms.Button btnFuDiao;
private System.Windows.Forms.Button btnFogHandle;
private System.Windows.Forms.Label label1;
private System.Windows.Forms.Label label2;
/**//// <SUMMARY>
/// 必需的设计器变量。
/// </SUMMARY>
private System.ComponentModel.Container components = null;
/**//// <SUMMARY>
/// 清理所有正在使用的资源。
/// </SUMMARY>
protected override void Dispose( bool disposing )
{
if( disposing )
{
if (components != null)
{
components.Dispose();
}
}
base.Dispose( disposing );
}
public main()
{
InitializeComponent();
}
Windows 窗体设计器生成的代码#region Windows 窗体设计器生成的代码
/**//// <SUMMARY>
/// 设计器支持所需的方法 - 不要使用代码编辑器修改
/// 此方法的内容。
/// </SUMMARY>
private void InitializeComponent()
{
this.Open = new System.Windows.Forms.Button();
this.pictureBox1 = new System.Windows.Forms.PictureBox();
this.btnAntiColor = new System.Windows.Forms.Button();
this.btnCancel = new System.Windows.Forms.Button();
this.btnSave = new System.Windows.Forms.Button();
this.saveFileDialog1 = new System.Windows.Forms.SaveFileDialog();
this.btnSharp = new System.Windows.Forms.Button();
this.btnNormalShow = new System.Windows.Forms.Button();
this.btnProfile = new System.Windows.Forms.Button();
this.btnerzhihua = new System.Windows.Forms.Button();
this.btnMidfiltrate = new System.Windows.Forms.Button();
this.btnSplit = new System.Windows.Forms.Button();
this.btnSoftHandle = new System.Windows.Forms.Button();
this.button1 = new System.Windows.Forms.Button();
this.button2 = new System.Windows.Forms.Button();
this.button3 = new System.Windows.Forms.Button();
this.btnFuDiao = new System.Windows.Forms.Button();
this.btnFogHandle = new System.Windows.Forms.Button();
this.label1 = new System.Windows.Forms.Label();
this.label2 = new System.Windows.Forms.Label();
this.SuspendLayout();
//
// Open
//
this.Open.ForeColor = System.Drawing.Color.Red;
this.Open.Location = new System.Drawing.Point(32, 496);
this.Open.Name = "Open";
this.Open.Size = new System.Drawing.Size(112, 32);
this.Open.TabIndex = 1;
this.Open.Text = "打开";
this.Open.Click += new System.EventHandler(this.Open_Click);
//
// pictureBox1
//
this.pictureBox1.Location = new System.Drawing.Point(16, 8);
this.pictureBox1.Name = "pictureBox1";
this.pictureBox1.Size = new System.Drawing.Size(784, 464);
this.pictureBox1.TabIndex = 0;
this.pictureBox1.TabStop = false;
//
// btnAntiColor
//
this.btnAntiColor.Location = new System.Drawing.Point(376, 592);
this.btnAntiColor.Name = "btnAntiColor";
this.btnAntiColor.Size = new System.Drawing.Size(80, 32);
this.btnAntiColor.TabIndex = 2;
this.btnAntiColor.Text = "反色处理";
this.btnAntiColor.Click += new System.EventHandler(this.btnAntiColor_Click);
//
// btnCancel
//
this.btnCancel.ForeColor = System.Drawing.Color.Red;
this.btnCancel.Location = new System.Drawing.Point(568, 496);
this.btnCancel.Name = "btnCancel";
this.btnCancel.Size = new System.Drawing.Size(128, 32);
this.btnCancel.TabIndex = 3;
this.btnCancel.Text = "退出";
this.btnCancel.Click += new System.EventHandler(this.btnCancel_Click);
//
// btnSave
//
this.btnSave.ForeColor = System.Drawing.Color.Red;
this.btnSave.Location = new System.Drawing.Point(208, 496);
this.btnSave.Name = "btnSave";
this.btnSave.Size = new System.Drawing.Size(112, 32);
this.btnSave.TabIndex = 4;
this.btnSave.Text = "另存为";
this.btnSave.Click += new System.EventHandler(this.btnSave_Click);
//
// btnSharp
//
this.btnSharp.Location = new System.Drawing.Point(192, 592);
this.btnSharp.Name = "btnSharp";
this.btnSharp.Size = new System.Drawing.Size(75, 32);
this.btnSharp.TabIndex = 5;
this.btnSharp.Text = "锐化处理";
this.btnSharp.Click += new System.EventHandler(this.btnSharp_Click);
//
// btnNormalShow
//
this.btnNormalShow.ForeColor = System.Drawing.Color.Red;
this.btnNormalShow.Location = new System.Drawing.Point(384, 496);
this.btnNormalShow.Name = "btnNormalShow";
this.btnNormalShow.Size = new System.Drawing.Size(112, 32);
this.btnNormalShow.TabIndex = 6;
this.btnNormalShow.Text = "正常显示";
this.btnNormalShow.Click += new System.EventHandler(this.btnNormalShow_Click);
//
// btnProfile
//
this.btnProfile.Location = new System.Drawing.Point(280, 592);
this.btnProfile.Name = "btnProfile";
this.btnProfile.Size = new System.Drawing.Size(80, 32);
this.btnProfile.TabIndex = 7;
this.btnProfile.Text = "轮廓提取";
this.btnProfile.Click += new System.EventHandler(this.btnProfile_Click);
//
// btnerzhihua
//
this.btnerzhihua.Location = new System.Drawing.Point(472, 592);
this.btnerzhihua.Name = "btnerzhihua";
this.btnerzhihua.Size = new System.Drawing.Size(104, 32);
this.btnerzhihua.TabIndex = 8;
this.btnerzhihua.Text = "等灰度片二值化";
this.btnerzhihua.Click += new System.EventHandler(this.btnerzhihua_Click);
//
// btnMidfiltrate
//
this.btnMidfiltrate.Location = new System.Drawing.Point(16, 544);
this.btnMidfiltrate.Name = "btnMidfiltrate";
this.btnMidfiltrate.Size = new System.Drawing.Size(75, 32);
this.btnMidfiltrate.TabIndex = 10;
this.btnMidfiltrate.Text = "中值滤波";
this.btnMidfiltrate.Click += new System.EventHandler(this.btnMidfiltrate_Click);
//
// btnSplit
//
this.btnSplit.Location = new System.Drawing.Point(104, 544);
this.btnSplit.Name = "btnSplit";
this.btnSplit.Size = new System.Drawing.Size(75, 32);
this.btnSplit.TabIndex = 11;
this.btnSplit.Text = "图像分割";
this.btnSplit.Click += new System.EventHandler(this.btnSplit_Click);
//
// btnSoftHandle
//
this.btnSoftHandle.Location = new System.Drawing.Point(192, 544);
this.btnSoftHandle.Name = "btnSoftHandle";
this.btnSoftHandle.Size = new System.Drawing.Size(75, 32);
this.btnSoftHandle.TabIndex = 12;
this.btnSoftHandle.Text = "柔化处理";
this.btnSoftHandle.Click += new System.EventHandler(this.btnSoftHandle_Click);
//
// button1
//
this.button1.Location = new System.Drawing.Point(280, 544);
this.button1.Name = "button1";
this.button1.Size = new System.Drawing.Size(80, 32);
this.button1.TabIndex = 13;
this.button1.Text = "B灰度直方图";
this.button1.Click += new System.EventHandler(this.button1_Click);
//
// button2
//
this.button2.Location = new System.Drawing.Point(376, 544);
this.button2.Name = "button2";
this.button2.Size = new System.Drawing.Size(80, 32);
this.button2.TabIndex = 14;
this.button2.Text = "R灰度直方图";
this.button2.Click += new System.EventHandler(this.button2_Click);
//
// button3
//
this.button3.Location = new System.Drawing.Point(472, 544);
this.button3.Name = "button3";
this.button3.Size = new System.Drawing.Size(104, 32);
this.button3.TabIndex = 15;
this.button3.Text = "G灰度直方图";
this.button3.Click += new System.EventHandler(this.button3_Click);
//
// btnFuDiao
//
this.btnFuDiao.Location = new System.Drawing.Point(16, 592);
this.btnFuDiao.Name = "btnFuDiao";
this.btnFuDiao.Size = new System.Drawing.Size(75, 32);
this.btnFuDiao.TabIndex = 17;
this.btnFuDiao.Text = "浮雕处理";
this.btnFuDiao.Click += new System.EventHandler(this.btnFuDiao_Click);
//
// btnFogHandle
//
this.btnFogHandle.Location = new System.Drawing.Point(104, 592);
this.btnFogHandle.Name = "btnFogHandle";
this.btnFogHandle.Size = new System.Drawing.Size(75, 32);
this.btnFogHandle.TabIndex = 18;
this.btnFogHandle.Text = "雾化处理";
this.btnFogHandle.Click += new System.EventHandler(this.btnFogHandle_Click);
//
// label1
//
this.label1.Location = new System.Drawing.Point(528, 0);
this.label1.Name = "label1";
this.label1.Size = new System.Drawing.Size(24, 16);
this.label1.TabIndex = 19;
this.label1.Text = "256";
//
// label2
//
this.label2.Location = new System.Drawing.Point(0, 0);
this.label2.Name = "label2";
this.label2.Size = new System.Drawing.Size(8, 16);
this.label2.TabIndex = 20;
this.label2.Text = "0";
//
// main
//
this.AutoScaleBaseSize = new System.Drawing.Size(6, 14);
this.ClientSize = new System.Drawing.Size(816, 646);
this.Controls.Add(this.label2);
this.Controls.Add(this.label1);
this.Controls.Add(this.btnFogHandle);
this.Controls.Add(this.btnFuDiao);
this.Controls.Add(this.button3);
this.Controls.Add(this.button2);
this.Controls.Add(this.button1);
this.Controls.Add(this.btnSoftHandle);
this.Controls.Add(this.btnSplit);
this.Controls.Add(this.btnMidfiltrate);
this.Controls.Add(this.btnerzhihua);
this.Controls.Add(this.btnProfile);
this.Controls.Add(this.btnNormalShow);
this.Controls.Add(this.btnSharp);
this.Controls.Add(this.btnSave);
this.Controls.Add(this.btnCancel);
this.Controls.Add(this.btnAntiColor);
this.Controls.Add(this.Open);
this.Controls.Add(this.pictureBox1);
this.Name = "main";
this.Text = "显示图像";
this.Load += new System.EventHandler(this.main_Load);
this.ResumeLayout(false);
}
#endregion
public void turnEnable()
{
this.btnAntiColor.Enabled = true;
this.btnCancel.Enabled = true;
this.btnerzhihua.Enabled = true;
this.btnFogHandle.Enabled = true;
this.btnFuDiao.Enabled = true;
this.btnMidfiltrate.Enabled = true;
this.btnNormalShow.Enabled = true;
this.btnProfile.Enabled = true;
this.btnSave.Enabled = true;
this.btnSharp.Enabled = true;
this.btnSoftHandle.Enabled = true;
this.btnSplit.Enabled = true;
this.button1.Enabled = true;
this.button2.Enabled = true;
this.button3.Enabled = true;
this.Open.Enabled = true;
}
public void turnUnenable()
{
this.btnAntiColor.Enabled = false;
this.btnCancel.Enabled = false;
this.btnerzhihua.Enabled = false;
this.btnFogHandle.Enabled = false;
this.btnFuDiao.Enabled = false;
this.btnMidfiltrate.Enabled = false;
this.btnNormalShow.Enabled = false;
this.btnProfile.Enabled = false;
this.btnSave.Enabled = false;
this.btnSharp.Enabled = false;
this.btnSoftHandle.Enabled = false;
this.btnSplit.Enabled = false;
this.button1.Enabled = false;
this.button2.Enabled = false;
this.button3.Enabled = false;
this.Open.Enabled = false;
}
private void Open_Click(object sender, System.EventArgs e)//打开图片
{
this.label1.Visible = false;
this.label2.Visible = false;
OpenFileDialog myDlg = new OpenFileDialog();
myDlg.Filter = "所有图像格式(*.bmp,*jpg,*.jpeg,*.gif,*,png)|*.bmp;*jpg;*.jepg;*.gif;*.png"; //设置文件过滤器
if (myDlg.ShowDialog() == DialogResult.OK)
{
CurPath = myDlg.FileName;
this.pictureBox1.Image = Bitmap.FromFile(CurPath);
}
}
private void btnAntiColor_Click(object sender, System.EventArgs e) //反色处理
{
if (this.pictureBox1.Image != null)
{
this.turnUnenable();
this.label1.Visible = false;
this.label2.Visible = false;
//以反色方式显示图像
int Height, Width;
if (this.pictureBox1.Image.Width < this.pictureBox1.Width ||
this.pictureBox1.Image.Height < this.pictureBox1.Height)
{
Width = this.pictureBox1.Image.Width - 1; //获取当前图像象素高度
Height = this.pictureBox1.Image.Height - 1; //获取当前图像象素宽度
}
else
{
Width = this.pictureBox1.Width - 1;
Height = this.pictureBox1.Height - 1;
}
Bitmap bitmap = new Bitmap(this.pictureBox1.Image); //以当前的图像大小令创一个空图像
Bitmap MyBitmap = (Bitmap)this.pictureBox1.Image;
Color pixel; //申请一个颜色（用ARGB表示）
for (int x = 1; x < Width; x++)
{
for (int y = 1; y < Height; y++)
{
int r, g, b;
pixel = MyBitmap.GetPixel(x, y);
r = 255 - pixel.R; //对当前r颜色取反
g = 255 - pixel.G; //对当前g颜色取反
b = 255 - pixel.B; //对当前b颜色取反
bitmap.SetPixel(x, y, Color.FromArgb(r, g, b)); //用取反后的argb值图像创建一个图像
}
this.pictureBox1.Refresh();
this.pictureBox1.Image = bitmap;
}
this.turnEnable();
}
}
private void btnCancel_Click(object sender, System.EventArgs e) //退出
{
Application.Exit();
}
private void btnSave_Click(object sender, System.EventArgs e) //保存图片
{
if (this.pictureBox1.Image != null)
{
this.label1.Visible = false;
this.label2.Visible = false;
Bitmap newmap = new Bitmap(this.pictureBox1.Image);
this.saveFileDialog1.Filter = "All Files(*.*)|*.*";
this.saveFileDialog1.ShowDialog();
if (this.saveFileDialog1.ShowDialog() == DialogResult.OK)
this.pictureBox1.Image.Save(saveFileDialog1.FileName);
}
}
/**//// <summary>
/// 锐化算法：运用拉普拉斯算子,计算该图像f(i,j)这个点的像素值,再减去f(i+1,j),f(i-1,j),f(i,j+1)和f(i,j-1)的象素值,
/// 最后加上4倍f(i,j),即为处理后的图像在这一点的像素值。
/// </summary>
private void btnSharp_Click(object sender, System.EventArgs e) //锐化处理
{
if (this.pictureBox1.Image != null)
{
this.turnUnenable();
this.label1.Visible = false;
this.label2.Visible = false;
Color c1 = new Color();
Color c2 = new Color();
Color c3 = new Color();
Color c4 = new Color();
Color c5 = new Color();
int rr, r1, r2, r3, r4, r5, fxr;
int WIDTH, HEIGH;
if (this.pictureBox1.Image.Width < this.pictureBox1.Width ||
this.pictureBox1.Image.Height < this.pictureBox1.Height)
{
WIDTH = this.pictureBox1.Image.Width - 2;
HEIGH = this.pictureBox1.Image.Height - 2;
}
else
{
WIDTH = this.pictureBox1.Width - 1;
HEIGH = this.pictureBox1.Height - 1;
}
Bitmap bitmap1 = new Bitmap(this.pictureBox1.Image);
Bitmap bitmap2 = new Bitmap(this.pictureBox1.Image);
for (int ii = 1; ii < WIDTH; ii++)
{
for (int jj = 1; jj < HEIGH; jj++)
{
c1 = bitmap1.GetPixel(ii, jj - 1);
c2 = bitmap1.GetPixel(ii - 1, jj);
c3 = bitmap1.GetPixel(ii, jj);
c4 = bitmap1.GetPixel(ii + 1, jj);
c5 = bitmap1.GetPixel(ii, jj + 1);
r1 = c1.R;
r2 = c2.R;
r3 = c3.R;
r4 = c4.R;
r5 = c5.R;
fxr = 5 * r3 - (r4 + r2 + r5 + r1);
rr = Math.Abs(fxr);
if (rr < 0) rr = 0;
if (rr > 255) rr = 255;
Color cc = Color.FromArgb(rr, rr, rr);
bitmap2.SetPixel(ii, jj, cc);
}
this.pictureBox1.Refresh();
this.pictureBox1.Image = bitmap2;
}
this.turnEnable();
}
}
private void btnNormalShow_Click(object sender, System.EventArgs e) //正常显示
{
this.label1.Visible = false;
this.label2.Visible = false;
if (this.pictureBox1.Image != null)
this.pictureBox1.Image = Bitmap.FromFile(CurPath);
}
/**//// <summary>
/// 8领域微分拉普拉斯算子算法如下：假设原图像为f(i,j),处理后的图像为g(i,j),则
/// g(i,j) = abs( 8 * f(i,j) - f(i,j-1) - f(i-1,j) - f(i+1,j) - f(i,j+1) - f(i-1,j-1)
/// - f(i-1,j+1) - f(i+1,j-1) - f(i+1,j+1) )
/// </summary>
private void btnProfile_Click(object sender, System.EventArgs e) //提取轮廓，8领域微分拉普拉斯算子
{
if (this.pictureBox1.Image != null)
{
this.turnUnenable();
this.label1.Visible = false;
this.label2.Visible = false;
Color c1 = new Color();
Color c2 = new Color();
Color c3 = new Color();
Color c4 = new Color();
Color c5 = new Color();
Color c6 = new Color();
Color c7 = new Color();
Color c8 = new Color();
Color c9 = new Color();
int rr, r1, r2, r3, r4, r5, r6, r7, r8, r9, fxr;
int WIDTH, HEIGH;
if (this.pictureBox1.Image.Width < this.pictureBox1.Width ||
this.pictureBox1.Image.Height < this.pictureBox1.Height)
{
WIDTH = this.pictureBox1.Image.Width - 2;
HEIGH = this.pictureBox1.Image.Height - 2;
}
else
{
WIDTH = this.pictureBox1.Width - 1;
HEIGH = this.pictureBox1.Height - 1;
}
Bitmap bitmap1 = new Bitmap(this.pictureBox1.Image);
Bitmap bitmap2 = new Bitmap(this.pictureBox1.Image);
for (int ii = 1; ii < WIDTH; ii++)
{
for (int jj = 1; jj < HEIGH; jj++)
{
c1 = bitmap1.GetPixel(ii, jj - 1);
c2 = bitmap1.GetPixel(ii - 1, jj);
c3 = bitmap1.GetPixel(ii, jj);
c4 = bitmap1.GetPixel(ii + 1, jj);
c5 = bitmap1.GetPixel(ii, jj + 1);
c6 = bitmap1.GetPixel(ii - 1, jj - 1);
c7 = bitmap1.GetPixel(ii - 1, jj + 1);
c8 = bitmap1.GetPixel(ii + 1, jj - 1);
c9 = bitmap1.GetPixel(ii + 1, jj + 1);
r1 = c1.R;
r2 = c2.R;
r3 = c3.R;
r4 = c4.R;
r5 = c5.R;
r6 = c6.R;
r7 = c7.R;
r8 = c8.R;
r9 = c9.R;
fxr = 8 * r3 - r1 - r2 - r4 - r5 - r6 - r7 - r8 - r9;
rr = Math.Abs(fxr);
if (rr < 0) rr = 0;
if (rr > 255) rr = 255;
Color cc = Color.FromArgb(rr, rr, rr);
bitmap2.SetPixel(ii, jj, cc);
}
this.pictureBox1.Refresh();
this.pictureBox1.Image = bitmap2;
}
this.turnEnable();
}
}
/**//// <summary>
/// 等灰度片二值化算法:将输入图像在某两个等宽的灰度级范围内的所有象素全部置为0（黑），其余
/// 灰度级的所有象素全部置为255（白），则生成黑白二值图像。本例中的灰度级范围是50和100
/// </summary>
private void btnerzhihua_Click(object sender, System.EventArgs e)//等灰度片二值化
{
if (this.pictureBox1.Image != null)
{
this.turnUnenable();
this.label1.Visible = false;
this.label2.Visible = false;
Color c = new Color();
int WIDTH, HEIGH, rr, lev, wid, x, y, m;
int[] lut = new int[256];
int[, ,] pic = new int[1000, 1000, 3];
lev = 50;
wid = 500;
y = 0;
if (this.pictureBox1.Image.Width < this.pictureBox1.Width ||
this.pictureBox1.Image.Height < this.pictureBox1.Height)
{
WIDTH = this.pictureBox1.Image.Width - 2;
HEIGH = this.pictureBox1.Image.Height - 2;
}
else
{
WIDTH = this.pictureBox1.Width - 1;
HEIGH = this.pictureBox1.Height - 1;
}
Bitmap bitmap1 = new Bitmap(this.pictureBox1.Image);
Bitmap bitmap2 = new Bitmap(this.pictureBox1.Image);
while (y <= 256) //循环赋值，使lut在0～50和150～200之间为255，在50～150和200～256之间为0
{
for (x = 0; x <= lev - 1; x++)
{
lut[y] = 255;
y = y + 1;
if (y > 255) goto loop;
}
for (x = 0; x < wid - 1; x++)
{
lut[y] = 0;
y = y + 1;
if (y > 255) goto loop;
}
}
/**//*分别将一个点的RGB值赋给3个二维数组，为以后判别象素在什么范围内和
生成图像做准备*/
loop:
for (int i = 0; i < WIDTH; i++)
{
for (int j = 0; j < HEIGH; j++)
{
c = bitmap1.GetPixel(i, j);
pic[i, j, 0] = c.R;
pic[i, j, 1] = c.G;
pic[i, j, 2] = c.B;
}
}
for (int i = 0; i < WIDTH; i++) //判断象素范围并生成新的图像
{
for (int j = 0; j < HEIGH; j++)
{
m = pic[i, j, 2]; //这里取B值进行判断，依据其大小决定其范围并将数组中的值赋给象素点
rr = lut[m];
Color c1 = Color.FromArgb(rr, rr, rr);
bitmap2.SetPixel(i, j, c1);
}
this.pictureBox1.Refresh();
this.pictureBox1.Image = bitmap2;
}
this.turnEnable();
}
}
/**//// <summary>
/// 中值滤波算法：设当前图像为f(i,j),处理后的图像为g(i,j),以当前象素f(i,j)为中心切出一个N*N象素组成的图像块，
/// 则g(i,j)的像素值取这个图像块灰度值排序序列中的中间值
/// </summary>
private void btnMidfiltrate_Click(object sender, System.EventArgs e) //中值滤波
{
if (this.pictureBox1.Image != null)
{
this.turnUnenable();
this.label1.Visible = false;
this.label2.Visible = false;
Color c = new Color();
Color cc = new Color();
int WIDTH, HEIGH, rr, r1, g1, b1, k1, k2, i1, j1, dm, m;
int[] dt = new int[20];
if (this.pictureBox1.Image.Width < this.pictureBox1.Width ||
this.pictureBox1.Image.Height < this.pictureBox1.Height)
{
WIDTH = this.pictureBox1.Image.Width - 1;
HEIGH = this.pictureBox1.Image.Height - 1;
}
else
{
WIDTH = this.pictureBox1.Width - 1;
HEIGH = this.pictureBox1.Height - 1;
}
Bitmap bitmap1 = new Bitmap(this.pictureBox1.Image);
Bitmap bitmap2 = new Bitmap(this.pictureBox1.Image);
for (int i = 1; i < WIDTH; i++)
{
for (int j = 1; j < HEIGH; j++)
{
rr = 0; m = 0;
for (k1 = -1; k1 <= 1; k1++) //循环找出当前点的周围象素点，这里取此点周围的8个点
{
for (k2 = -1; k2 <= 1; k2++)
{
c = bitmap1.GetPixel(i + k1, j + k2);
r1 = c.R;
g1 = c.G;
b1 = c.B;
dt[m] = r1; //将8个点中的每个点的象素值存入数组
m = m + 1;
}
}
for (i1 = m - 1; i1 >= 1; i1 = i1 - 1) //对数组dt进行冒泡排序
{
for (j1 = 1; j1 <= i1; j1 = j1 + 1)
{
if (dt[j1 - 1] > dt[j1])
{
dm = dt[j1];
dt[j1] = dt[j1 - 1];
dt[j1 - 1] = dm;
}
}
}
rr = dt[(int)(m / 2)]; //取中间值，赋给输出点
Color c1 = Color.FromArgb(rr, rr, rr);
bitmap2.SetPixel(i, j, c1);
}
this.pictureBox1.Refresh();
this.pictureBox1.Image = bitmap2;
}
this.turnEnable();
}
}
/**//// <summary>
/// 柔化处理算法：设当前图像为f(i,j),处理后的图像为g(i-1,j-1),则g(i-1,j-1)的像素值是f(i,j)周围
/// 8个点的象素值分别乘以对应的高斯模板，然后再相加。
/// </summary>
private void btnSoftHandle_Click(object sender, System.EventArgs e) //柔化处理
{
if (this.pictureBox1.Image != null)
{
this.turnUnenable();
this.label1.Visible = false;
this.label2.Visible = false;
int HEIGH, WIDTH;
if (this.pictureBox1.Image.Width < this.pictureBox1.Width ||
this.pictureBox1.Image.Height < this.pictureBox1.Height)
{
WIDTH = this.pictureBox1.Image.Width;
HEIGH = this.pictureBox1.Image.Height;
}
else
{
WIDTH = this.pictureBox1.Width;
HEIGH = this.pictureBox1.Height;
}
Bitmap bitmap = new Bitmap(this.pictureBox1.Image);
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 < HEIGH - 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.Refresh();
this.pictureBox1.Image = bitmap;
}
this.turnEnable();
}
}
/**//// <summary>
/// 图像分割算法：先求出合适的阈值，再根据这个阈值对图像进行二值化
/// </summary>
private void btnSplit_Click(object sender, System.EventArgs e) //图像分割
{
if (this.pictureBox1.Image != null)
{
this.turnUnenable();
this.label1.Visible = false;
this.label2.Visible = false;
int HEIGH, WIDTH, Blue, temp0 = 0, temp1 = 0, temp2 = 0, temp3 = 0, T2, T1 = 127;
Color c;
int[] gray = new int[256];
if (this.pictureBox1.Image.Width < this.pictureBox1.Width ||
this.pictureBox1.Image.Height < this.pictureBox1.Height)
{
WIDTH = this.pictureBox1.Image.Width - 1;
HEIGH = this.pictureBox1.Image.Height - 1;
}
else
{
WIDTH = this.pictureBox1.Width - 1;
HEIGH = this.pictureBox1.Height - 1;
}
Bitmap bitmap1 = new Bitmap(this.pictureBox1.Image);
Bitmap bitmap2 = new Bitmap(this.pictureBox1.Image);
for (int i = 0; i < WIDTH; i++) //计算此图像的灰度值，这里以B灰度为例
for (int j = 0; j < HEIGH; j++)
{
c = bitmap1.GetPixel(i, j);
Blue = c.B;
gray[Blue]++;
}
while (true) //循环算出合适的阈值
{
for (int i = 0; i < T1 + 1; i++)
{
temp0 += gray[i] * i;
temp1 += gray[i];
}
for (int i = T1 + 1; i < 256; i++)
{
temp2 += gray[i] * i;
temp3 += gray[i];
}
T2 = (temp0 / temp1 + temp2 / temp3) / 2;
if (T1 == T2)
break;
else
T1 = T2;
}
for (int i = 0; i < WIDTH; i++) //生成处理后的图像
{
for (int j = 0; j < HEIGH; j++)
{
int B = bitmap1.GetPixel(i, j).B;
if (B < T1)
B = 0;
else
B = 255;
bitmap2.SetPixel(i, j, Color.FromArgb(B, B, B));
}
this.pictureBox1.Refresh();
this.pictureBox1.Image = bitmap2;
}
this.turnEnable();
}
}
/**//// <summary>
/// 直方图算法：计算整个图像的灰度值（例如 G灰度值从0～255分别在当前图像中所占的比例），
/// 然后用二维坐标表示出来。
/// </summary>
private void button1_Click(object sender, System.EventArgs e) //B灰度直方图
{
if (this.pictureBox1.Image != null)
{
this.turnUnenable();
this.label1.Visible = true;
this.label2.Visible = true;
// System.Random random = new Random();
// int a = random.Next(255);
int HEIGH, WIDTH, Blue;
Color c;
float[] gray = new float[256];
if (this.pictureBox1.Image.Width < this.pictureBox1.Width ||
this.pictureBox1.Image.Height < this.pictureBox1.Height)
{
WIDTH = this.pictureBox1.Image.Width - 1;
HEIGH = this.pictureBox1.Image.Height - 1;
}
else
{
WIDTH = this.pictureBox1.Width - 1;
HEIGH = this.pictureBox1.Height - 1;
}
Bitmap bitmap1 = new Bitmap(this.pictureBox1.Image);
Bitmap bitmap2 = new Bitmap(512, 512);
int sum = WIDTH * HEIGH;
for (int i = 0; i < 256; i++)
gray[i] = 0.0f;
for (int i = 0; i < WIDTH; i++) //计算灰度值，此处以B灰度为例
for (int j = 0; j < HEIGH; j++)
{
c = bitmap1.GetPixel(i, j);
Blue = c.B;
gray[Blue]++;
}
for (int i = 0; i < 512; i = i + 2)
{
for (int j = 0; j < 512; j++)
{
if (i == 0)
bitmap2.SetPixel(i, j, Color.FromArgb(100, 100, 100));
if (j <= ((gray[i / 2] / sum) * 10000)) //求出象素比例，再扩大10000倍
bitmap2.SetPixel(i, j, Color.FromArgb(0, 0, 255));
}
this.pictureBox1.Refresh();
this.pictureBox1.Image = bitmap2;
}
this.turnEnable();
}
}
/**//// <summary>
/// 直方图算法：计算整个图像的灰度值（例如 G灰度值从0～255分别在当前图像中所占的比例），
/// 然后用二维坐标表示出来。
/// </summary>
private void button2_Click(object sender, System.EventArgs e) //R灰度直方图
{
if (this.pictureBox1.Image != null)
{
this.turnUnenable();
this.label1.Visible = true;
this.label2.Visible = true;
int HEIGH, WIDTH, Blue;
Color c;
float[] gray = new float[256];
if (this.pictureBox1.Image.Width < this.pictureBox1.Width ||
this.pictureBox1.Image.Height < this.pictureBox1.Height)
{
WIDTH = this.pictureBox1.Image.Width - 1;
HEIGH = this.pictureBox1.Image.Height - 1;
}
else
{
WIDTH = this.pictureBox1.Width - 1;
HEIGH = this.pictureBox1.Height - 1;
}
int sum = WIDTH * HEIGH;
Bitmap bitmap1 = new Bitmap(this.pictureBox1.Image);
Bitmap bitmap2 = new Bitmap(512, 512);
for (int i = 0; i < 256; i++)
gray[i] = 0.0f;
for (int i = 0; i < WIDTH; i++)
for (int j = 0; j < HEIGH; j++)
{
c = bitmap1.GetPixel(i, j);
Blue = c.R;
gray[Blue]++;
}
for (int i = 0; i < 512; i = i + 2)
{
for (int j = 0; j < 512; j++)
{
if (i == 0)
bitmap2.SetPixel(i, j, Color.FromArgb(100, 100, 100));
if (j <= ((gray[i / 2] / sum) * 10000)) //求出象素比例，再扩大10000倍
bitmap2.SetPixel(i, j, Color.FromArgb(255, 0, 0));
}
this.pictureBox1.Refresh();
this.pictureBox1.Image = bitmap2;
}
this.turnEnable();
}
}
/**//// <summary>
/// 直方图算法：计算整个图像的灰度值（例如 G灰度值从0～255分别在当前图像中所占的比例），
/// 然后用二维坐标表示出来。
/// </summary>
private void button3_Click(object sender, System.EventArgs e) //G灰度直方图
{
if (this.pictureBox1.Image != null)
{
this.turnUnenable();
this.label1.Visible = true;
this.label2.Visible = true;
int HEIGH, WIDTH, Blue;
Color c;
float[] gray = new float[256];
if (this.pictureBox1.Image.Width < this.pictureBox1.Width ||
this.pictureBox1.Image.Height < this.pictureBox1.Height)
{
WIDTH = this.pictureBox1.Image.Width - 1;
HEIGH = this.pictureBox1.Image.Height - 1;
}
else
{
WIDTH = this.pictureBox1.Width - 1;
HEIGH = this.pictureBox1.Height - 1;
}
Bitmap bitmap1 = new Bitmap(this.pictureBox1.Image);
Bitmap bitmap2 = new Bitmap(512, 512);
int sum = WIDTH * HEIGH;
for (int i = 0; i < WIDTH; i++)
for (int j = 0; j < HEIGH; j++)
{
c = bitmap1.GetPixel(i, j);
Blue = c.G;
gray[Blue]++;
}
for (int i = 0; i < 512; i = i + 2)
{
for (int j = 0; j < 512; j++)
{
if (i == 0)
bitmap2.SetPixel(i, j, Color.FromArgb(100, 100, 100));
if (j <= ((gray[i / 2] / sum) * 10000)) //求出象素比例，再扩大10000倍
bitmap2.SetPixel(i, j, Color.FromArgb(0, 255, 0));
}
this.pictureBox1.Refresh();
this.pictureBox1.Image = bitmap2;
}
this.turnEnable();
}
}
/**//// <summary>
///浮雕处理算法： 设当前图像为f(i,j),处理后的图像为g(i,j),则g(i,j)的象素值为f(i,j)的像素
///值减去f(i+1,j+1)的像素值再加上128,最后取和的绝对值
/// </summary>
private void btnFuDiao_Click(object sender, System.EventArgs e) //浮雕处理
{
if (this.pictureBox1.Image != null)
{
this.turnUnenable();
this.label1.Visible = false;
this.label2.Visible = false;
int HEIGH, WIDTH;
if (this.pictureBox1.Image.Width < this.pictureBox1.Width ||
this.pictureBox1.Image.Height < this.pictureBox1.Height)
{
WIDTH = this.pictureBox1.Image.Width - 1;
HEIGH = this.pictureBox1.Image.Height - 1;
}
else
{
WIDTH = this.pictureBox1.Width - 1;
HEIGH = this.pictureBox1.Height - 1;
}
Bitmap bitmap2 = new Bitmap(this.pictureBox1.Image);
Bitmap bitmap1 = new Bitmap(this.pictureBox1.Image);
Color pixel1, pixel2;
for (int x = 0; x < WIDTH; x++)
{
for (int y = 0; y < HEIGH; y++)
{
int r = 0, g = 0, b = 0;
pixel1 = bitmap1.GetPixel(x, y);
pixel2 = bitmap1.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;
bitmap2.SetPixel(x, y, Color.FromArgb(r, g, b));
}
this.pictureBox1.Refresh();
this.pictureBox1.Image = bitmap2;
}
this.turnEnable();
}
}
/**//// <summary>
/// 雾化处理算法： 设当前图像为f(i,j),处理后的图像为g(i,j),则g(i,j)的象素值其实是f(i,j)点
/// 按照某种规律对应的另外一个点的象素值。在此例中的另外一点，是f(i+random % 19,j+random % 19)
/// 其中random是随机数。
/// </summary>
private void btnFogHandle_Click(object sender, System.EventArgs e) //雾化处理
{
if (this.pictureBox1.Image != null)
{
this.turnUnenable();
this.label1.Visible = false;
this.label2.Visible = false;
int Height, Width;
if (this.pictureBox1.Image.Width < this.pictureBox1.Width ||
this.pictureBox1.Image.Height < this.pictureBox1.Height)
{
Width = this.pictureBox1.Image.Width - 1;
Height = this.pictureBox1.Image.Height - 1;
}
else
{
Width = this.pictureBox1.Width - 1;
Height = this.pictureBox1.Height - 1;
}
Bitmap bitmap = new Bitmap(this.pictureBox1.Image);
Bitmap MyBitmap = (Bitmap)this.pictureBox1.Image;
Color pixel;
for (int x = 1; x < Width; x++)
{
for (int y = 1; y < Height; 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;
if (dy >= Height)
dy = Height;
pixel = MyBitmap.GetPixel(dx, dy);
bitmap.SetPixel(x, y, pixel);
}
this.pictureBox1.Refresh();
this.pictureBox1.Image = bitmap;
}
this.turnEnable();
}
}
private void main_Load(object sender, System.EventArgs e)
{
this.label1.Visible = false;
this.label2.Visible = false;
}
}
}
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原文地址：https://www.cnblogs.com/gxh973121/p/798702.html
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