buttonCreateBorder.Name = "buttonCreateBorder";
this.buttonCreateBorder.Size = new System.Drawing.Size(300, 37);
this.buttonCreateBorder.TabIndex = 7;
this.buttonCreateBorder.Text = "Выделение границ";
this.buttonCreateBorder.UseVisualStyleBackColor = true;
this.buttonCreateBorder.Click += new System.EventHandler(this.button2_Click);
//
// button1
//
this.button1.ForeColor = System.Drawing.SystemColors.Desktop;
this.button1.Location = new System.Drawing.Point(100, 645);
this.button1.Name = "button1";
this.button1.Size = new System.Drawing.Size(125, 37);
this.button1.TabIndex = 8;
this.button1.Text = "ЧБ";
this.button1.UseVisualStyleBackColor = true;
this.button1.Click += new System.EventHandler(this.button1_Click);
//
// Correlate
//
this.Correlate.ForeColor = System.Drawing.SystemColors.Desktop;
this.Correlate.Location = new System.Drawing.Point(1004, 157);
this.Correlate.Name = "Correlate";
this.Correlate.Size = new System.Drawing.Size(142, 55);
this.Correlate.TabIndex = 9;
this.Correlate.Text = "Корреляционный способ";
this.Correlate.UseVisualStyleBackColor = true;
this.Correlate.Click += new System.EventHandler(this.Correlate_Click_1);
//
// FFT
//
this.FFT.ForeColor = System.Drawing.SystemColors.Desktop;
this.FFT.Location = new System.Drawing.Point(1004, 233);
this.FFT.Name = "FFT";
this.FFT.Size = new System.Drawing.Size(142, 50);
this.FFT.TabIndex = 10;
this.FFT.Text = "FFT";
this.FFT.UseVisualStyleBackColor = true;
this.FFT.Click += new System.EventHandler(this.FFT_Click);
//
// buttonResize
//
this.buttonResize.ForeColor = System.Drawing.SystemColors.Desktop;
this.buttonResize.Location = new System.Drawing.Point(341, 645);
this.buttonResize.Name = "buttonResize";
this.buttonResize.Size = new System.Drawing.Size(140, 40);
this.buttonResize.TabIndex = 11;
this.buttonResize.Text = "Изменение размера";
this.buttonResize.UseVisualStyleBackColor = true;
this.buttonResize.Click += new System.EventHandler(this.buttonResize_Click);
//
// pictureBox7
//
this.pictureBox7.Location = new System.Drawing.Point(977, 340);
this.pictureBox7.Name = "pictureBox7";
this.pictureBox7.Size = new System.Drawing.Size(300, 300);
this.pictureBox7.TabIndex = 5;
this.pictureBox7.TabStop = false;
//
// GUI
//
this.AutoScaleDimensions = new System.Drawing.SizeF(6F, 13F);
this.AutoScaleMode = System.Windows.Forms.AutoScaleMode.Font;
this.BackColor = System.Drawing.SystemColors.ControlLightLight;
this.ClientSize = new System.Drawing.Size(1284, 694);
this.Controls.Add(this.buttonResize);
this.Controls.Add(this.FFT);
this.Controls.Add(this.Correlate);
this.Controls.Add(this.button1);
this.Controls.Add(this.buttonCreateBorder);
this.Controls.Add(this.buttonSmoothBrightness);
this.Controls.Add(this.pictureBox7);
this.Controls.Add(this.pictureBox6);
this.Controls.Add(this.pictureBox5);
this.Controls.Add(this.pictureBox4);
this.Controls.Add(this.pictureBox3);
this.Controls.Add(this.pictureBox2);
this.Controls.Add(this.pictureBox1);
this.ForeColor = System.Drawing.SystemColors.ButtonShadow;
this.Name = "GUI";
this.Text = "тест возможностей";
((System.ComponentModel.ISupportInitialize)(this.pictureBox1)).EndInit();
((System.ComponentModel.ISupportInitialize)(this.pictureBox2)).EndInit();
((System.ComponentModel.ISupportInitialize)(this.pictureBox3)).EndInit();
((System.ComponentModel.ISupportInitialize)(this.pictureBox4)).EndInit();
((System.ComponentModel.ISupportInitialize)(this.pictureBox5)).EndInit();
((System.ComponentModel.ISupportInitialize)(this.pictureBox6)).EndInit();
((System.ComponentModel.ISupportInitialize)(this.pictureBox7)).EndInit();
this.ResumeLayout(false);
}
#endregion
private System.Windows.Forms.PictureBox pictureBox1;
private System.Windows.Forms.PictureBox pictureBox2;
private System.Windows.Forms.PictureBox pictureBox3;
private System.Windows.Forms.PictureBox pictureBox4;
private System.Windows.Forms.PictureBox pictureBox5;
private System.Windows.Forms.PictureBox pictureBox6;
private System.Windows.Forms.Button buttonSmoothBrightness;
private System.Windows.Forms.Button buttonCreateBorder;
private System.Windows.Forms.Button button1;
private System.Windows.Forms.Button Correlate;
private System.Windows.Forms.Button FFT;
private System.Windows.Forms.Button buttonResize;
private System.Windows.Forms.PictureBox pictureBox7;
}
}
Приведение изображения к серому цвету.
using System;
using System.Collections.Generic;
using System.Text;
using System.Drawing;
namespace FFTLibrary
{
public class ImageManager
{
/// <summary>
/// Preparing picture for FFT
/// </summary>
/// <param name="bitm">Bitmap of the picture to prepare</param>
/// <returns>Prepared Bitmap</returns>
public void GetHistogram(Image picture, out Image histogram)
{
GrayScale.ToGray(picture);
picture = SplineResizeBitmap.Resizing(picture, 256, 256);
double[][] piccolor = new double[picture.Height][];
for (int i = 0; i < piccolor.Length; i++)
piccolor[i] = new double[picture.Width];
for (int i = 0; i < piccolor.Length; i++)
for (int j = 0; j < piccolor[0].Length; j++)
piccolor[i][j] = (picture.GetPixel(i, j).R + picture.GetPixel(i, j).G + picture.GetPixel(i, j).B) / 3;
HistogramFromBytes(piccolor, out histogram, picture.Width, picture.Height);
}
/// <summary>
/// Prepating picture to FFT
/// </summary>
/// <param name="picture">Picture to prepare</param>
private void ProcessPicture(Image picture, out Image histogram)
{
GrayScale.ToGray(picture);
picture = SplineResizeBitmap.Resizing(picture, 1024, 1024);
GetHistogram(picture, out histogram);
}
/// <summary>
/// Main method allowing to compare two pictures and to receive result in percents.
/// </summary>
/// <param name="pattern">Pattern picture.</param>
/// <param name="picture">Picture to compare with pattern.</param>
/// <param name="percent">Difference in percents.</param>
public void ComparePictures(Image pattern, Image picture, out Image patternHistogram, out Image pictureHistogram, uint percent)
{
ProcessPicture(pattern, out patternHistogram);
ProcessPicture(picture, out pictureHistogram);
percent = 0;
}
/// <summary>
/// Get Histogram for given picture
/// </summary>
private void HistogramFromBytes(double[][] data, out Image histogram, int height, int width)
{
histogram = new Image(width, height);
double[][] hist2;
double[][] hist;
new FastFourierTransform().GetHistogram(data, width, height, false, out hist2);
new FastFourierTransform().HistogramToLog(hist2, out hist);
double maxval = hist[0][0];
for (int i = 0; i < histogram.Height; i++)
for (int j = 0; j < histogram.Width; j++)
if (hist[i][j] > maxval)
maxval = hist[i][j];
if (maxval == 0)
maxval = 1;
for (int i = 0; i < histogram.Height; i++)
for (int j = 0; j < histogram.Width; j++)
{
histogram.SetPixel(i, j, Color.FromArgb((int)(hist[i][j] / maxval * 255), (int)(hist[i][j] / maxval * 255), (int)(hist[i][j] / maxval * 255)));
}
}
}
}
Поиск центра фигуры
using System;
using System.Collections.Generic;
using System.Text;
using System.Drawing;
namespace FFTLibrary
{
public class FigureIdent
{
public static void FindCenter(FFTLibrary.Image img, ref int x, ref int y)
{
int chx = 0;
int chy = 0;
int ch = 0;
for (int i = 0; i < img.Width; i++)
{
for (int j = 0; j < img.Height; j++)
{
if (img.GetPixel(i, j).R == 255 && img.GetPixel(i, j).G == 0)
{
ch++;
chx += i;
chy += j;
}
}
}
x = (int)((double)chx / (double)ch);
y = (int)((double)chy / (double)ch);
return;
}
public static void DrawGraph(FFTLibrary.Image img, int x, int y, out double[] rad)
{
rad = new double[720];
rad[0] = 0;
for (double i = 0; i < 360; i+=0.5)
{
double kx = Math.Cos(Math.PI * (double)(i)/180.0);
double ky = Math.Sin(Math.PI * (double)(i)/180.0);
for (double j = 0; j < Math.Max(img.Height, img.Width); j+=0.1)
{
if (x + kx * j < img.Width && x + kx * j > 0 && y + ky * j < img.Height && y + ky * j > 0)
{
if (img.GetPixel((int)(x + kx * j), (int)(y + ky * j)).R == 255 && img.GetPixel((int)(x + kx * j), (int)(y + ky * j)).G == 0)
{
rad[(int)(i*2)] = j;
break;
}
}
else
{
rad[(int)(i*2)] = rad[(int)(i*2) - 1];
}
}
}
}
public static void FindExtremumMax(double[] rad,double[] koef ,out double[] extremum,out int count)
{
extremum = new double[rad.Length];
count = 0;
double[] arr = new double[rad.Length];
for (int i = 0; i < rad.Length; i++)
{
arr[i] = 0;
for (int j = -5; j < 6; j++)
{
arr[i] += rad[(i + j + rad.Length) % rad.Length];
}
arr[i] = arr[i] / 11;
}
for (int i = 0; i < rad.Length; i++)
{
rad[i] = arr[i];
}
for (int i = 0; i < rad.Length; i++)
{
if (rad[i] < rad[(i + 1) % rad.Length])
{
bool flag = false;
for (int j = 2; j < 20; j++)
{
if (rad[(i + 1) % rad.Length] > rad[(i + j) % rad.Length])
{
flag = true;
}
else
{
flag = false;
break;
}
}
if (!flag)
{
extremum[(i + 1) % rad.Length] = 0;
}
else
{
extremum[(i + 1) % rad.Length] = rad[(i + 1) % rad.Length];
}
}
else
{
extremum[(i + 1) % rad.Length] = 0;
}
}
for (int i = 0; i < extremum.Length; i++)
{
for (int j = i; j < extremum.Length; j++)
{
if (extremum[i] < extremum[j])
{
double temp = extremum[i];
extremum[i] = extremum[j];
extremum[j] = temp;
}
}
}
for (int i = 0; i < rad.Length; i++)
{
if (extremum[i] != 0)
{
count++;
}
}
}
public static void DoubleToImage(Image temp,ref double[] rad,out Image res)
{
res = new FFTLibrary.Image(720, Math.Max(temp.Height, temp.Width));
for (int i = 0; i < 720; i++)
{
for (int j = 0; j < Math.Max(temp.Height, temp.Width); j++)
{
res.SetPixel(i, j, Color.FromArgb(255, 255, 255));
}
}
for (int i = 0; i < 720; i++)
{
res.SetPixel(i, Math.Max(temp.Height, temp.Width) - (int)rad[i] * 2, Color.FromArgb(0, 0, 0));
}
}
//--------------------------------------------------------------------------------------
private static Bitmap CheckBorders(Bitmap bmp1)
{
FFTLibrary.Image img = new FFTLibrary.Image(bmp1);
Border brd = new Border(img, 20);
return brd.ToBitmap(Color.Red);
}
public static void GeometricAnalysis(Bitmap picture, out Bitmap hist, out int count)
{
hist = new Bitmap(811, 296);
count = 0;
int x = 0;
int y = 0;
FFTLibrary.Image temp = new FFTLibrary.Image(picture);
FFTLibrary.FigureIdent.FindCenter(temp, ref x, ref y);
double[] rad;
FFTLibrary.FigureIdent.DrawGraph(temp, out rad, 720);
FFTLibrary.Image res;
FFTLibrary.FigureIdent.DoubleToImage(temp, ref rad, out res);
double[] ttt = new double[] { };
FFTLibrary.FigureIdent.FindExtremumMax(rad, null, out ttt, out count);
hist = res.ToBitmap();
}
//--------------------------------------------------------------------------------------
public static void DrawGraph(Image img, out double[] rad, int length)
{
rad=new double[length];
double[] Rad;
double[] Alfa;
double[] Koef;
int x=0;
int y=0;
FindCenter(img, ref x,ref y);
FindFunction(img, x, y, out Rad, out Alfa, out Koef);
for(int i=0;i<length;i++)
{
rad[i] = SplineResizeBitmap.SplineInterpolation(ref Koef, 360.0 / length * i);
}
}
public static void FindFunction(Image img, int x, int y, out double[] rad, out double[] alfa, out double[] koef)
{
int ch = 0;
for (int i = 0; i < img.Width; i++)
{
for (int j = 0; j < img.Height; j++)
{
if (img.GetPixel(i, j).R == 255 && img.GetPixel(i, j).G == 0)
{
ch++;
}
}
}
rad = new double[ch];
alfa = new double[ch];
double l;
double alf;
ch = 0;
for (int i = 0; i < img.Width; i++)
{
for (int j = 0; j < img.Height; j++)
{
if (img.GetPixel(i, j).R == 255 && img.GetPixel(i, j).G == 0)
{
l = Math.Sqrt((x - i) * (x - i) + (y - j) * (y - j));
if (j - y >= 0)
alf = Math.Atan2((j - y), (i - x)) * (180.0 / Math.PI);
else
alf = (360-Math.Atan2(Math.Abs((j - y)), (i - x)) * (180.0 / Math.PI));
rad[ch] = l;
alfa[ch] = alf;
ch++;
}
}
}
koef = new double[] { };
SplineResizeBitmap.BuildLinearSpline(alfa, rad, ch, ref koef);
}
}
}
Работа с гистограммой
using System;
using System.Collections.Generic;
using System.Text;
using System.Drawing;
namespace FFTLibrary
{
public class ImageManager
{
/// <summary>
/// Preparing picture for FFT
/// </summary>
/// <param name="bitm">Bitmap of the picture to prepare</param>
/// <returns>Prepared Bitmap</returns>
public void GetHistogram(Image picture, out Image histogram)
{
GrayScale.ToGray(picture);
picture = SplineResizeBitmap.Resizing(picture, 256, 256);
double[][] piccolor = new double[picture.Height][];
for (int i = 0; i < piccolor.Length; i++)
piccolor[i] = new double[picture.Width];
for (int i = 0; i < piccolor.Length; i++)
for (int j = 0; j < piccolor[0].Length; j++)
piccolor[i][j] = (picture.GetPixel(i, j).R + picture.GetPixel(i, j).G + picture.GetPixel(i, j).B) / 3;
HistogramFromBytes(piccolor, out histogram, picture.Width, picture.Height);
}
/// <summary>
/// Prepating picture to FFT
/// </summary>
/// <param name="picture">Picture to prepare</param>
private void ProcessPicture(Image picture, out Image histogram)
{
GrayScale.ToGray(picture);
picture = SplineResizeBitmap.Resizing(picture, 1024, 1024);
GetHistogram(picture, out histogram);
}
/// <summary>
/// Main method allowing to compare two pictures and to receive result in percents.
/// </summary>
/// <param name="pattern">Pattern picture.</param>
/// <param name="picture">Picture to compare with pattern.</param>
/// <param name="percent">Difference in percents.</param>
public void ComparePictures(Image pattern, Image picture, out Image patternHistogram, out Image pictureHistogram, uint percent)
{
ProcessPicture(pattern, out patternHistogram);
ProcessPicture(picture, out pictureHistogram);
percent = 0;
}
/// <summary>
/// Get Histogram for given picture
/// </summary>
private void HistogramFromBytes(double[][] data, out Image histogram, int height, int width)
{
histogram = new Image(width, height);
double[][] hist2;
double[][] hist;
new FastFourierTransform().GetHistogram(data, width, height, false, out hist2);
new FastFourierTransform().HistogramToLog(hist2, out hist);
double maxval = hist[0][0];
for (int i = 0; i < histogram.Height; i++)
for (int j = 0; j < histogram.Width; j++)
if (hist[i][j] > maxval)
maxval = hist[i][j];
if (maxval == 0)
maxval = 1;
for (int i = 0; i < histogram.Height; i++)
for (int j = 0; j < histogram.Width; j++)
{
histogram.SetPixel(i, j, Color.FromArgb((int)(hist[i][j] / maxval * 255), (int)(hist[i][j] / maxval * 255), (int)(hist[i][j] / maxval * 255)));
}
}
}
}
using System;
using System.Drawing;
using System.Collections.Generic;
using System.Text;
using FFTLibrary;
using System.Windows.Forms;
namespace FFTLibrary
{
public class BSCV
{
private double c1, c2, c3;
public double Percent1
{
set { c1 = value; }
}
public double Percent2
{
set { c2 = value; }
}
public double Percent3
{
set { c3 = value; }
}
public BSCV()
{
c1 = c2 = 0.3;
c3 = 0.4;
}
public static FFTLibrary.Image Filter(FFTLibrary.Image bmp, int Rad)
{
FFTLibrary.Image outbitmap = new FFTLibrary.Image(bmp.Width, bmp.Height);
for (int i = 0; i < bmp.Width; i++)
{
for (int j = 0; j < bmp.Height; j++)
{
outbitmap.SetPixel(i, j, Color.FromArgb(255, 255, 255));
}
}
for (int i = 0; i < bmp.Height; i++)
{
for (int j = 0; j < bmp.Width; j++)
{
if (bmp.GetPixel(j, i).R == 255 && bmp.GetPixel(j, i).G == 0)
{
int ch = 0;
for (int ii = i - Rad; ii <= i + Rad; ii++)
{
for (int jj = j - Rad; jj <= j + Rad; jj++)
{
if (ii < bmp.Height && ii > 0 && jj < bmp.Width && jj > 0 && (jj != j || ii != i))
{
if (bmp.GetPixel(jj, ii).R == 255 && bmp.GetPixel(jj, ii).G == 0)
{
if (jj != j || ii != i)
{
ch++;
}
}
}
}
}
if (ch > 1)
{
outbitmap.SetPixel(j, i, Color.FromArgb(255, 0, 0));
}
}
}
}
//green
for (int i = 0; i < bmp.Height; i++)
{
for (int j = 0; j < bmp.Width; j++)
{
if (bmp.GetPixel(j, i).R == 0 && bmp.GetPixel(j, i).G == 255)
{
int ch = 0;
for (int ii = i - Rad; ii <= i + Rad; ii++)
{
for (int jj = j - Rad; jj <= j + Rad; jj++)
{
if (ii < bmp.Height && ii > 0 && jj < bmp.Width && jj > 0 && (jj != j || ii != i))
{
if (bmp.GetPixel(jj, ii).R == 0 && bmp.GetPixel(jj, ii).G == 255)
{
if (jj != j || ii != i)
{
ch++;
}
}
}
}
}
if (ch > 1)
{
outbitmap.SetPixel(j, i, Color.FromArgb(0, 255, 0));
}
}
}
}
return outbitmap;
}
public static double SquareVer(FFTLibrary.Image Img1,FFTLibrary.Image Img2, int eps, int eps2)
{
FFTLibrary.Image filled_img1 = FillObject(Img1, eps, eps2);
FFTLibrary.Image filled_img2 = FillObject(Img2, eps, eps2);
Int64 ch = 0;
for (int x = 0; x < filled_img1.Width; x++)
{
for (int y = 0; y < filled_img1.Height; y++)
{
if (filled_img1.GetPixel(x, y) == filled_img2.GetPixel(x, y))
{
ch++;
}
}
}
return (double)(ch) / (double)(filled_img1.Width * filled_img1.Height);
}
public static FFTLibrary.Image FillObject(FFTLibrary.Image Img1, int epsilon, int epsilon2)
{
FFTLibrary.Image result = new FFTLibrary.Image(Img1.Width, Img1.Height);
FFTLibrary.Border brd = new Border(Img1, epsilon, true);
FFTLibrary.Image img = new FFTLibrary.Image(brd.toBitmap());
//img = Filter(img, epsilon2);
for (int x = 0; x < img.Width; x++)
{
for (int y = 0; y < img.Height; y++)
{
if ((img.GetPixel(x, y).R == 255 && img.GetPixel(x, y).B == 0) || (img.GetPixel(x, y).G == 255 && img.GetPixel(x, y).B == 0))
{
Color srchc = new Color();
if (img.GetPixel(x, y).R == 255 && img.GetPixel(x, y).B == 0)
{
srchc = Color.FromArgb(0,255,0);
}
else
{
srchc = Color.FromArgb(255, 0, 0);
}
result.SetPixel(x, y, Color.Black);
y++;
while (y < img.Height && img.GetPixel(x, y) != srchc)
{
result.SetPixel(x, y, Color.Black);
y++;
}
while (y < img.Height && img.GetPixel(x, y) == srchc)
{
result.SetPixel(x, y, Color.Black);
y++;
}
}
else
{
result.SetPixel(x, y, Color.White);
}
}
}
//------------------------------------------
brd = new Border(Img1, epsilon, false);
img = new FFTLibrary.Image(brd.toBitmap());
for (int y = 0; y < img.Height; y++)
{
for (int x = 0; x < img.Width; x++)
{
if ((img.GetPixel(x, y).R == 255 && img.GetPixel(x, y).B == 0) || (img.GetPixel(x, y).G == 255 && img.GetPixel(x, y).B == 0))
{
Color srchc = new Color();
if (img.GetPixel(x, y).R == 255 && img.GetPixel(x, y).B == 0)
{
srchc = Color.FromArgb(0, 255, 0);
}
else
{
srchc = Color.FromArgb(255, 0, 0);
}
result.SetPixel(x, y, Color.Black);
x++;
while (x < img.Width && img.GetPixel(x, y) != srchc)
{
result.SetPixel(x, y, Color.Black);
x++;
}
while (x < img.Width && img.GetPixel(x, y) == srchc)
{
result.SetPixel(x, y, Color.Black);
x++;
}
}
else
{
// result.SetPixel(x, y, Color.White);
}
}
}
return result;
}
}
}
Заключение
Способы обработки мультимедийных данных являются актуальной областью научных исследований. В последнее время, в связи с появлением множества приложений, использующих мультимедийный контент, таких как социальные сети, различные службы обмена данными через интернет, эффективные способы сжатия и обработки данных приобретают особую актуальность. В опубликованном недавно отчете фирма TeleGeography Research, наблюдающая за Интернетом, утверждает, что за 12-месячный период с середины 2007 по середину 2008 года международный Интернет-трафик вырос более чем на 53%, однако емкость Интернета растет еще быстрее. За предыдущий год рост Интернет-трафика составил 61%.
Повышение емкости Интернет-магистралей опережает рост трафика, что приводит к снижению уровня загрузки многих из них. Однако такой подход не может быть единственным. Одним из способов снижения нагрузки на передающие каналы является сжатие передаваемых данных.
В данном докладе представлено описание предлагаемых новых способов обработки изображений: растяжение и сжатие, сглаживание помех, детектор движения. Эти проблемы могут быть решены различными способами, начиная от простой работы с пикселями изображения и заканчивая применением математических моделей, таких как быстрое преобразование Фурье, разложение в полином Лагранжа или в сплайн.
Список литературы
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