public static Bitmap LaplaceGreyscale(Bitmap b)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
ImagerBitmap i2 = new ImagerBitmap(b.Clone() as Bitmap);
for (int column = 1; column < i.Bitmap.Width - 1; column++)
{
for (int row = 1; row < i.Bitmap.Height - 1; row++)
{
int[,] c = i.GetGrey3x3(row, column);
int val = (((c[0, 0] + c[0, 1] + c[0, 2] + c[1, 0] + c[1, 2] + c[2, 0] + c[2, 1]
+ c[2, 2]) * -1) + (c[1, 1] * 8)) + 128;
if (val >= 128)
{
val = 0;
}
else
{
val = 255;
}
i2.SetPixel(column, row, Color.FromArgb(val, val, val));
}
}
i.UnlockBitmap();
i2.UnlockBitmap();
return(i2.Bitmap.Clone() as Bitmap);
}
/// <summary>
/// Perform a Bionomial filter using a 3x3 Mask
/// </summary>
/// <param name="b">Image to Process</param>
/// <returns>Filtered Image</returns>
public static Bitmap Binomial3x3(Bitmap b)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
ImagerBitmap i2 = new ImagerBitmap(b.Clone() as Bitmap);
for (int column = 1; column < i.Bitmap.Width - 1; column++)
{
for (int row = 1; row < i.Bitmap.Height - 1; row++)
{
Color[,] c = i.Get3x3(row, column);
int red = ((c[0, 0].R * 1) + (c[0, 1].R * 2) + (c[0, 2].R * 1) + (c[1, 0].R * 2)
+ (c[1, 1].R * 4) + (c[1, 2].R * 2) + (c[2, 0].R * 1) + (c[2, 1].R * 2)
+ (c[2, 2].R * 1)) / 16;
int green = ((c[0, 0].G * 1) + (c[0, 1].G * 2) + (c[0, 2].G * 1) + (c[1, 0].G * 2)
+ (c[1, 1].G * 4) + (c[1, 2].G * 2) + (c[2, 0].G * 1) + (c[2, 1].G * 2)
+ (c[2, 2].G * 1)) / 16;
int blue = ((c[0, 0].B * 1) + (c[0, 1].B * 2) + (c[0, 2].B * 1) + (c[1, 0].B * 2)
+ (c[1, 1].B * 4) + (c[1, 2].B * 2) + (c[2, 0].B * 1) + (c[2, 1].B * 2)
+ (c[2, 2].B * 1)) / 16;
i2.SetPixel(column, row, Color.FromArgb(red, green, blue));
}
}
i.UnlockBitmap();
i2.UnlockBitmap();
return(i2.Bitmap.Clone() as Bitmap);
}
private void gauss()
{
var bmp = pictureBox1.Image as Bitmap;
using (var img = new ImagerBitmap(bmp))
{
int gaussWidth = 5;
for (int x = gaussWidth; x < img.Width - 5; x++)
{
for (int y = gaussWidth; y < img.Height - 5; y++)
{
int R = 0, G = 0, B = 0, count = 0;
for (int x1 = x - gaussWidth; x1 <= x + gaussWidth; x1++)
{
for (int y1 = y - gaussWidth; y1 <= y + gaussWidth; y1++)
{
var c = img.GetPixel(x1, y1);
count++;
R += c.R;
G += c.G;
B += c.B;
}
}
img.SetPixel(x, y, Color.FromArgb(R / count, G / count, B / count));
}
}
pictureBox1.Image = img.Bitmap;
}
}
/// <summary>
/// Perform a Median fiter using a 5x5 Mask
/// </summary>
/// <param name="b">Image to Process</param>
/// <returns>Filtered Image</returns>
public static Bitmap Median5x5(Bitmap b)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
ImagerBitmap i2 = new ImagerBitmap(b.Clone() as Bitmap);
for (int column = 2; column < i.Bitmap.Width - 2; column++)
{
for (int row = 2; row < i.Bitmap.Height - 2; row++)
{
Color[,] c = i.Get5x5(row, column);
int red = Median(c[0, 0].R, c[0, 1].R, c[0, 2].R, c[0, 3].R, c[0, 4].R, c[1, 0].R,
c[1, 1].R, c[1, 2].R, c[1, 3].R, c[1, 4].R, c[2, 0].R, c[2, 1].R, c[2, 2].R,
c[2, 3].R, c[2, 4].R, c[3, 0].R, c[3, 1].R, c[3, 2].R, c[3, 3].R, c[3, 4].R,
c[4, 0].R, c[4, 1].R, c[4, 2].R, c[4, 3].R, c[4, 4].R);
int green = Median(c[0, 0].G, c[0, 1].G, c[0, 2].G, c[0, 3].G, c[0, 4].G, c[1, 0].G,
c[1, 1].G, c[1, 2].G, c[1, 3].G, c[1, 4].G, c[2, 0].G, c[2, 1].G, c[2, 2].G,
c[2, 3].G, c[2, 4].G, c[3, 0].G, c[3, 1].G, c[3, 2].G, c[3, 3].G, c[3, 4].G,
c[4, 0].G, c[4, 1].G, c[4, 2].G, c[4, 3].G, c[4, 4].G);
int blue = Median(c[0, 0].B, c[0, 1].B, c[0, 2].B, c[0, 3].B, c[0, 4].B, c[1, 0].B,
c[1, 1].B, c[1, 2].B, c[1, 3].B, c[1, 4].B, c[2, 0].B, c[2, 1].B, c[2, 2].B,
c[2, 3].B, c[2, 4].B, c[3, 0].B, c[3, 1].B, c[3, 2].B, c[3, 3].B, c[3, 4].B,
c[4, 0].B, c[4, 1].B, c[4, 2].B, c[4, 3].B, c[4, 4].B);
i2.SetPixel(column, row, Color.FromArgb(red, green, blue));
}
}
i.UnlockBitmap();
i2.UnlockBitmap();
return(i2.Bitmap.Clone() as Bitmap);
}
private void button4_Click(object sender, EventArgs e)
{
var bmp = pictureBox1.Image as Bitmap;
var dst = bmp.Clone() as Bitmap;
using (var img = new ImagerBitmap(bmp))
using (var imgDst = new ImagerBitmap(dst))
{
int gaussWidth = 1;
for (int x = gaussWidth; x < img.Width - 5; x++)
{
for (int y = gaussWidth; y < img.Height - 5; y++)
{
List <MedianPixel> neibourghs = new List <MedianPixel>();
for (int x1 = x - gaussWidth; x1 <= x + gaussWidth; x1++)
{
for (int y1 = y - gaussWidth; y1 <= y + gaussWidth; y1++)
{
var c = img.GetPixel(x1, y1);
neibourghs.Add(new MedianPixel(c));
}
}
var newColor = neibourghs.OrderBy(n => n.Intensity).Skip(neibourghs.Count / 2).First().Color;
imgDst.SetPixel(x, y, newColor);
}
}
pictureBox1.Image = imgDst.Bitmap;
}
}
private void button4_Click(object sender, EventArgs e)
{
var bmp = pictureBox1.Image as Bitmap;
var dst = bmp.Clone() as Bitmap;
using (var img = new ImagerBitmap(bmp))
using (var imgDst = new ImagerBitmap(dst))
{
int gaussWidth = 1;
for (int x = gaussWidth; x < img.Width - 5; x++)
for (int y = gaussWidth; y < img.Height - 5; y++)
{
List<MedianPixel> neibourghs = new List<MedianPixel>();
for (int x1 = x - gaussWidth; x1 <= x + gaussWidth; x1++)
for (int y1 = y - gaussWidth; y1 <= y + gaussWidth; y1++)
{
var c = img.GetPixel(x1, y1);
neibourghs.Add(new MedianPixel(c));
}
var newColor = neibourghs.OrderBy(n => n.Intensity).Skip(neibourghs.Count / 2).First().Color;
imgDst.SetPixel(x, y, newColor);
}
pictureBox1.Image = imgDst.Bitmap;
}
}
/// <summary>
/// Generate a greyscale histogram chart from the bitmap
/// </summary>
/// <param name="b">Image to use</param>
/// <returns>Histogram chart</returns>
/*public static Bitmap GenerateGreyscaleHistogram(Bitmap b)
* {
* ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
* double[] histogram = new double[256];
* string[] lbls = new string[256];
* for (int column = 0; column < i.Bitmap.Width; column++)
* {
* for (int row = 0; row < i.Bitmap.Height; row++)
* {
* histogram[i.GetGreyPixel(column, row)]++;
* }
* }
* i.UnlockBitmap();
* for (int j = 0; j < 256; j++)
* {
* if ((j % 30) == 0)
* {
* lbls[j] = j.ToString();
* }
* else
* {
* lbls[j] = string.Empty;
* }
* }
* XYChart c = new XYChart(b.Width + 60, b.Height + 60);
* c.setPlotArea(40, 40, b.Width - 20, b.Height - 20);
* c.addTitle("Greyscale Historgram", "Arial Bold", 10).setBackground(
* Chart.metalColor(0x9999ff), -1, 1);
* c.addBarLayer(histogram);
* c.xAxis().setLabels(lbls);
* return c.makeImage() as Bitmap;
* }*/
/// <summary>
/// Generate a histogram chart from the bitmap
/// </summary>
/// <param name="b">Image to use</param>
/// <returns>Histogram chart</returns>
/* public static Bitmap GenerateHistogram(Bitmap b)
* {
* ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
* double[] histogram = new double[64];
* string[] lbls = new string[64];
* for (int column = 0; column < i.Bitmap.Width; column++)
* {
* for (int row = 0; row < i.Bitmap.Height; row++)
* {
* histogram[i.GetRGBHistogramValue(column, row)]++;
* }
* }
* i.UnlockBitmap();
* for (int j = 0; j < 64; j++)
* {
* if ((j % 10) == 0)
* {
* lbls[j] = j.ToString();
* }
* else
* {
* lbls[j] = string.Empty;
* }
* }
* XYChart c = new XYChart(b.Width + 60, b.Height + 60);
* c.setPlotArea(40, 40, b.Width - 20, b.Height - 20);
* c.addTitle("Color Historgram", "Arial Bold", 10).setBackground(
* Chart.metalColor(0x9999ff), -1, 1);
* c.addBarLayer(histogram);
* c.xAxis().setLabels(lbls);
* return c.makeImage() as Bitmap;
* }*/
/// <summary>
/// Generate a Chart of a Scan line
/// </summary>
/// <param name="b">Image to use</param>
/// <param name="row">Row to use</param>
/// <returns>Scan Line Chart</returns>
/*public static Bitmap GenerateScanLineChart(Bitmap b, int row)
* {
* ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
* double[] luminance = new double[b.Width];
* string[] lbls = new string[b.Width];
* double max = double.MinValue;
* double min = double.MaxValue;
* for (int column = 0; column < i.Bitmap.Width; column++)
* {
* luminance[column] = i.GetGreyPixel(column, row);
* if (luminance[column] > max) max = luminance[column];
* if (luminance[column] < min) min = luminance[column];
* if ((column % 40) == 0)
* {
* lbls[column] = column.ToString();
* }
* else
* {
* lbls[column] = string.Empty;
* }
* }
* i.UnlockBitmap();
* XYChart c = new XYChart(b.Width + 60, b.Height + 60);
* c.setPlotArea(40, 40, b.Width - 20, b.Height - 20);
* c.addTitle(string.Format("Pixel Luminance for Scan Line {0}, STF {1:0.00}",
* row.ToString(),
* (max - min) / (max + min)), "Arial Bold", 10).setBackground(
* Chart.metalColor(0x9999ff), -1, 1);
* c.addLineLayer(luminance);
* c.xAxis().setLabels(lbls);
* return c.makeImage() as Bitmap;
* }*/
/// <summary>
/// Generate a Chart of a Vertical Scan line
/// </summary>
/// <param name="b">Image to use</param>
/// <param name="column">Column to use</param>
/// <returns>Scan Line Chart</returns>
/*public static Bitmap GenerateVerticalScanLineChart(Bitmap b, int col)
* {
* ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
* double[] luminance = new double[b.Height];
* string[] lbls = new string[b.Height];
* for (int row = 0; row < i.Bitmap.Height; row++)
* {
* luminance[row] = i.GetGreyPixel(col, row);
* if ((row % 40) == 0)
* {
* lbls[row] = row.ToString();
* }
* else
* {
* lbls[row] = string.Empty;
* }
* }
* i.UnlockBitmap();
* XYChart c = new XYChart(b.Width + 60, b.Height + 60);
* c.setPlotArea(40, 40, b.Width - 20, b.Height - 20);
* c.addTitle("Pixel Luminance for Vertical Scan Line " + col.ToString(),
* "Arial Bold", 10).setBackground(
* Chart.metalColor(0x9999ff), -1, 1);
* c.addLineLayer(luminance);
* c.xAxis().setLabels(lbls);
* return c.makeImage() as Bitmap;
* }*/
public static void GenerateExcelFile(Bitmap b)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
string fileName = "output.txt";
int f = 0;
using (StreamWriter sw = new StreamWriter(fileName, false))
{
sw.WriteLine("{0}\t{1}\t{2}\t{3}\t{4}\t{5}\t{6}", "Index", "Row", "Column", "Red",
"Green", "Blue", "Gray");
for (int column = 0; column < i.Bitmap.Width; column++)
{
for (int row = 0; row < i.Bitmap.Height; row++)
{
f++;
Color c = i.GetPixel(column, row);
int g = i.GetGreyPixel(column, row);
sw.WriteLine("{0}\t{1}\t{2}\t{3}\t{4}\t{5}\t{6}", f,
row, column, c.R, c.G, c.B, g);
}
}
}
i.UnlockBitmap();
System.Diagnostics.Process.Start(fileName);
}
private void button2_Click(object sender, EventArgs e)
{
var bmp = pictureBox1.Image as Bitmap;
using (var img = new ImagerBitmap(bmp))
{
int gaussWidth = 5;
for (int x = gaussWidth; x < img.Width-5; x++)
for (int y = gaussWidth; y < img.Height-5; y++)
{
int R = 0, G = 0, B = 0, count = 0;
for (int x1 = x - gaussWidth; x1 <= x + gaussWidth;x1++ )
for (int y1 = y - gaussWidth; y1 <= y + gaussWidth; y1++)
{
var c = img.GetPixel(x1, y1);
count++;
R += c.R;
G += c.G;
B += c.B;
}
img.SetPixel(x, y, Color.FromArgb(R/count, G/count, B/count));
}
pictureBox1.Image = img.Bitmap;
}
}
/// <summary>
/// Get the green pixels from the image
/// </summary>
/// <param name="b">Image to Process</param>
/// <returns>Filtered Image</returns>
public static Bitmap GetGreenBitmap(Bitmap b)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
for (int column = 0; column < i.Bitmap.Width; column++)
{
for (int row = 0; row < i.Bitmap.Height; row++)
{
i.SetPixel(column, row, Color.FromArgb(0, i.GetPixel(column, row).G, 0));
}
}
i.UnlockBitmap();
return(i.Bitmap.Clone() as Bitmap);
}
/// <summary>
/// Perform laplace edge detection on the image
/// </summary>
/// <param name="b">Source Image</param>
/// <returns>Edges</returns>
public static Bitmap Laplace(Bitmap b)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
ImagerBitmap i2 = new ImagerBitmap(b.Clone() as Bitmap);
for (int column = 1; column < i.Bitmap.Width - 1; column++)
{
for (int row = 1; row < i.Bitmap.Height - 1; row++)
{
Color[,] c = i.Get3x3(row, column);
int red = (((c[0, 0].R + c[0, 1].R + c[0, 2].R + c[1, 0].R + c[1, 2].R + c[2, 0].R
+ c[2, 1].R + c[2, 2].R) * -1) + (c[1, 1].R * 8)) + 128;
int green = (((c[0, 0].G + c[0, 1].G + c[0, 2].G + c[1, 0].G + c[1, 2].G
+ c[2, 0].G + c[2, 1].G + c[2, 2].G) * -1) + (c[1, 1].G * 8)) + 128;
int blue = (((c[0, 0].B + c[0, 1].B + c[0, 2].B + c[1, 0].B + c[1, 2].B + c[2, 0].B
+ c[2, 1].B + c[2, 2].B) * -1) + (c[1, 1].B * 8)) + 128;
if (red >= 128)
{
red = 0;
}
else
{
red = 255;
}
if (green >= 128)
{
green = 0;
}
else
{
green = 255;
}
if (blue >= 128)
{
blue = 0;
}
else
{
blue = 255;
}
i2.SetPixel(column, row, Color.FromArgb(red, green, blue));
}
}
i.UnlockBitmap();
i2.UnlockBitmap();
return(i2.Bitmap.Clone() as Bitmap);
}
private void button1_Click(object sender, EventArgs e)
{
var bmp = pictureBox1.Image as Bitmap;
using(var img = new ImagerBitmap(bmp))
{
for (int x = 0; x < img.Width; x++)
for (int y = 0; y < img.Height; y++)
{
var px = img.GetPixel(x, y);
var intensity = (int)(px.R*0.16 + px.B*0.6 + px.G*0.24);
Color newColor = Color.FromArgb(intensity, intensity, intensity);
img.SetPixel(x,y,newColor);
}
pictureBox1.Image = img.Bitmap;
}
}
private void button6_Click(object sender, EventArgs e)
{
var bmp = pictureBox1.Image as Bitmap;
Random rnd = new Random();
using (var img = new ImagerBitmap(bmp))
{
for (int x = 0; x < img.Width; x++)
{
for (int y = 0; y < img.Height; y++)
{
var px = img.GetPixel(x, y);
var S = ((px.R * 0.16 + px.G * 0.6 + px.B * 0.24) / 128 - 1) * ((float)trackBar1.Value / 5) + 1;
img.SetPixel(x, y, Color.FromArgb(cl(px.R * S), cl(px.G * S), cl(px.B * S)));
}
}
pictureBox1.Image = img.Bitmap;
}
}
private void button1_Click(object sender, EventArgs e)
{
var bmp = pictureBox1.Image as Bitmap;
using (var img = new ImagerBitmap(bmp))
{
for (int x = 0; x < img.Width; x++)
{
for (int y = 0; y < img.Height; y++)
{
var px = img.GetPixel(x, y);
var intensity = (int)(px.R * 0.16 + px.B * 0.6 + px.G * 0.24);
Color newColor = Color.FromArgb(intensity, intensity, intensity);
img.SetPixel(x, y, newColor);
}
}
pictureBox1.Image = img.Bitmap;
}
}
public static Bitmap GetBlackAndWhiteBitmap2(Bitmap b)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
double[] histogram = new double[256];
for (int column = 0; column < i.Bitmap.Width; column++)
{
for (int row = 0; row < i.Bitmap.Height; row++)
{
histogram[i.GetGreyPixel(column, row)]++;
}
}
double k = b.Width * b.Height;
double half = k / 2;
int middle = 0;
while (k > half)
{
k = k - histogram[middle];
middle++;
}
for (int column = 0; column < i.Bitmap.Width; column++)
{
for (int row = 0; row < i.Bitmap.Height; row++)
{
int val = (i.GetPixel(column, row).R + i.GetPixel(column, row).G
+ i.GetPixel(column, row).B) / 3;
if (val > middle)
{
val = 255;
}
else
{
val = 0;
}
i.SetPixel(column, row, Color.FromArgb(val, val, val));
}
}
i.UnlockBitmap();
return(i.Bitmap.Clone() as Bitmap);
}
/// <summary>
/// Perform a Binomial filter using a 5x5 Mask
/// </summary>
/// <param name="b">Image to Process</param>
/// <returns>Filtered Image</returns>
public static Bitmap Binomial5x5(Bitmap b)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
ImagerBitmap i2 = new ImagerBitmap(b.Clone() as Bitmap);
for (int column = 2; column < i.Bitmap.Width - 2; column++)
{
for (int row = 2; row < i.Bitmap.Height - 2; row++)
{
Color[,] c = i.Get5x5(row, column);
int red = ((c[0, 0].R * 1) + (c[0, 1].R * 4) + (c[0, 2].R * 6) + (c[0, 3].R * 4)
+ (c[0, 4].R * 1) + (c[1, 0].R * 4) + (c[1, 1].R * 16) + (c[1, 2].R * 24)
+ (c[1, 3].R * 16) + (c[1, 4].R * 4) + (c[2, 0].R * 6) + (c[2, 1].R * 24)
+ (c[2, 2].R * 36) + (c[2, 3].R * 24) + (c[2, 4].R * 6) + (c[3, 0].R * 4)
+ (c[3, 1].R * 16) + (c[3, 2].R * 24) + (c[3, 3].R * 16) + (c[3, 4].R * 4)
+ (c[4, 0].R * 1) + (c[4, 1].R * 4) + (c[4, 2].R * 6) + (c[4, 3].R * 4)
+ (c[4, 4].R * 1)) / 256;
int green = ((c[0, 0].G * 1) + (c[0, 1].G * 4) + (c[0, 2].G * 6) + (c[0, 3].G * 4)
+ (c[0, 4].G * 1) + (c[1, 0].G * 4) + (c[1, 1].G * 16) + (c[1, 2].G * 24)
+ (c[1, 3].G * 16) + (c[1, 4].G * 4) + (c[2, 0].G * 6) + (c[2, 1].G * 24)
+ (c[2, 2].G * 36) + (c[2, 3].G * 24) + (c[2, 4].G * 6) + (c[3, 0].G * 4)
+ (c[3, 1].G * 16) + (c[3, 2].G * 24) + (c[3, 3].G * 16) + (c[3, 4].G * 4)
+ (c[4, 0].G * 1) + (c[4, 1].G * 4) + (c[4, 2].G * 6) + (c[4, 3].G * 4)
+ (c[4, 4].G * 1)) / 256;
int blue = ((c[0, 0].B * 1) + (c[0, 1].B * 4) + (c[0, 2].B * 6) + (c[0, 3].B * 4)
+ (c[0, 4].B * 1) + (c[1, 0].B * 4) + (c[1, 1].B * 16) + (c[1, 2].B * 24)
+ (c[1, 3].B * 16) + (c[1, 4].B * 4) + (c[2, 0].B * 6) + (c[2, 1].B * 24)
+ (c[2, 2].B * 36) + (c[2, 3].B * 24) + (c[2, 4].B * 6) + (c[3, 0].B * 4)
+ (c[3, 1].B * 16) + (c[3, 2].B * 24) + (c[3, 3].B * 16) + (c[3, 4].B * 4)
+ (c[4, 0].B * 1) + (c[4, 1].B * 4) + (c[4, 2].B * 6) + (c[4, 3].B * 4)
+ (c[4, 4].B * 1)) / 256;
i2.SetPixel(column, row, Color.FromArgb(red, green, blue));
}
}
i.UnlockBitmap();
i2.UnlockBitmap();
return(i2.Bitmap.Clone() as Bitmap);
}
private void button5_Click(object sender, EventArgs e)
{
var bmp = pictureBox1.Image as Bitmap;
Random rnd = new Random();
using (var img = new ImagerBitmap(bmp))
{
for (int x = 0; x < img.Width; x++)
{
for (int y = 0; y < img.Height; y++)
{
if (rnd.Next(6000) == 555)
{
img.SetPixel(x, y, Color.Red);
}
if (rnd.Next(6000) == 556)
{
img.SetPixel(x, y, Color.Blue);
}
if (rnd.Next(6000) == 557)
{
img.SetPixel(x, y, Color.Green);
}
if (rnd.Next(6000) == 556)
{
img.SetPixel(x, y, Color.Black);
}
if (rnd.Next(6000) == 557)
{
img.SetPixel(x, y, Color.White);
}
}
}
pictureBox1.Image = img.Bitmap;
}
}
/// <summary>
/// Make the image Grey scale
/// </summary>
/// <param name="b">Image to Process</param>
/// <returns>Filtered Image</returns>
public static Bitmap GetGreyScaleBitmap(Bitmap b)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
for (int column = 0; column < i.Bitmap.Width; column++)
{
for (int row = 0; row < i.Bitmap.Height; row++)
{
int val = i.GetGreyPixel(column, row);
i.SetPixel(column, row, Color.FromArgb(val, val, val));
}
}
i.UnlockBitmap();
return i.Bitmap.Clone() as Bitmap;
}
/// <summary>
/// Get the red pixels from the bitmap
/// </summary>
/// <param name="b">Image to Process</param>
/// <returns>Filtered Image</returns>
public static Bitmap GetRedBitmap(Bitmap b)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
for (int column = 0; column < i.Bitmap.Width; column++)
{
for (int row = 0; row < i.Bitmap.Height; row++)
{
i.SetPixel(column, row, Color.FromArgb(i.GetPixel(column, row).R, 0, 0));
}
}
i.UnlockBitmap();
return i.Bitmap.Clone() as Bitmap;
}
/// <summary>
/// Subtract b2 from b1 and normalize the image
/// </summary>
/// <param name="b1">Image</param>
/// <param name="b2">Image</param>
/// <returns>Normalized Image</returns>
public static Bitmap Subtract(Bitmap b1, Bitmap b2)
{
if (b1.Width != b2.Width || b1.Height != b2.Height)
throw new Exception("Images not the same size cannot subtract");
ImagerBitmap i = new ImagerBitmap(b1.Clone() as Bitmap);
ImagerBitmap i2 = new ImagerBitmap(b2.Clone() as Bitmap);
int[,] red = new int[i.Bitmap.Width, i.Bitmap.Height];
int[,] blue = new int[i.Bitmap.Width, i.Bitmap.Height];
int[,] green = new int[i.Bitmap.Width, i.Bitmap.Height];
int redMax = 0;
int redMin = 0;
int redRange = 0;
int blueMax = 0;
int blueMin = 0;
int blueRange = 0;
int greenMax = 0;
int greenMin = 0;
int greenRange = 0;
//fill the arrays with the subtracted values
//Keep track of the min and max values for later
for (int column = 0; column < i.Bitmap.Width; column++)
{
for (int row = 0; row < i.Bitmap.Height; row++)
{
Color c1 = i.GetPixel(column, row);
Color c2 = i2.GetPixel(column, row);
red[column, row] = c2.R - c1.R;
blue[column, row] = c2.B - c1.B;
green[column, row] = c2.G - c1.G;
if (red[column, row] > redMax) redMax = red[column, row];
if (red[column, row] < redMin) redMin = red[column, row];
if (blue[column, row] > blueMax) blueMax = blue[column, row];
if (blue[column, row] < blueMin) blueMin = blue[column, row];
if (green[column, row] > greenMax) greenMax = green[column, row];
if (green[column, row] < greenMin) greenMin = green[column, row];
}
}
//find the range of the min an max
redRange = Math.Abs(redMax - redMin);
blueRange = Math.Abs(blueMax - blueMin);
greenRange = Math.Abs(greenRange - greenMin);
//Normalize the values in the arrays and load the result image
for (int column = 0; column < i.Bitmap.Width; column++)
{
for (int row = 0; row < i.Bitmap.Height; row++)
{
if (redRange != 0)
red[column, row] = 255 - (((redMax - red[column, row]) * 255) / redRange);
if (blueRange != 0)
blue[column, row] = 255 - (((blueMax - blue[column, row]) * 255) / blueRange);
if (greenRange != 0)
green[column, row] = 255 - (((greenMax - green[column, row]) * 255) / greenRange);
if (red[column, row] < 0)
red[column, row] = 0;
if (blue[column, row] < 0)
blue[column, row] = 0;
if (green[column, row] < 0)
green[column, row] = 0;
i2.SetPixel(column, row, Color.FromArgb(red[column, row], green[column, row],
blue[column, row]));
}
}
i.UnlockBitmap();
i2.UnlockBitmap();
return i2.Bitmap.Clone() as Bitmap;
}
private void button9_Click(object sender, EventArgs e)
{
var bmp = pictureBox1.Image as Bitmap;
var dst = bmp.Clone() as Bitmap;
using (var img = new ImagerBitmap(bmp))
{
for (int x = 0; x < img.Width; x++)
for (int y = 0; y < img.Height; y++)
{
var px = img.GetPixel(x, y);
Color newColor;
if (px.B >= 128)
newColor = Color.FromArgb(px.R, px.G, 200);
else
newColor = Color.FromArgb(px.R, px.G, px.B);
img.SetPixel(x, y, newColor);
}
pictureBox1.Image = img.Bitmap;
}
}
private void button5_Click(object sender, EventArgs e)
{
var bmp = pictureBox1.Image as Bitmap;
Random rnd = new Random();
using (var img = new ImagerBitmap(bmp))
{
for (int x = 0; x < img.Width; x++)
for (int y = 0; y < img.Height; y++)
{
if (rnd.Next(6000) == 555)
img.SetPixel(x, y, Color.Red);
if (rnd.Next(6000) == 556)
img.SetPixel(x, y, Color.Blue);
if (rnd.Next(6000) == 557)
img.SetPixel(x, y, Color.Green);
if (rnd.Next(6000) == 556)
img.SetPixel(x, y, Color.Black);
if (rnd.Next(6000) == 557)
img.SetPixel(x, y, Color.White);
}
pictureBox1.Image = img.Bitmap;
}
}
/// <summary>
/// Generate a greyscale histogram chart from the bitmap
/// </summary>
/// <param name="b">Image to use</param>
/// <returns>Histogram chart</returns>
/*public static Bitmap GenerateGreyscaleHistogram(Bitmap b)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
double[] histogram = new double[256];
string[] lbls = new string[256];
for (int column = 0; column < i.Bitmap.Width; column++)
{
for (int row = 0; row < i.Bitmap.Height; row++)
{
histogram[i.GetGreyPixel(column, row)]++;
}
}
i.UnlockBitmap();
for (int j = 0; j < 256; j++)
{
if ((j % 30) == 0)
{
lbls[j] = j.ToString();
}
else
{
lbls[j] = string.Empty;
}
}
XYChart c = new XYChart(b.Width + 60, b.Height + 60);
c.setPlotArea(40, 40, b.Width - 20, b.Height - 20);
c.addTitle("Greyscale Historgram", "Arial Bold", 10).setBackground(
Chart.metalColor(0x9999ff), -1, 1);
c.addBarLayer(histogram);
c.xAxis().setLabels(lbls);
return c.makeImage() as Bitmap;
}*/
/// <summary>
/// Generate a histogram chart from the bitmap
/// </summary>
/// <param name="b">Image to use</param>
/// <returns>Histogram chart</returns>
/* public static Bitmap GenerateHistogram(Bitmap b)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
double[] histogram = new double[64];
string[] lbls = new string[64];
for (int column = 0; column < i.Bitmap.Width; column++)
{
for (int row = 0; row < i.Bitmap.Height; row++)
{
histogram[i.GetRGBHistogramValue(column, row)]++;
}
}
i.UnlockBitmap();
for (int j = 0; j < 64; j++)
{
if ((j % 10) == 0)
{
lbls[j] = j.ToString();
}
else
{
lbls[j] = string.Empty;
}
}
XYChart c = new XYChart(b.Width + 60, b.Height + 60);
c.setPlotArea(40, 40, b.Width - 20, b.Height - 20);
c.addTitle("Color Historgram", "Arial Bold", 10).setBackground(
Chart.metalColor(0x9999ff), -1, 1);
c.addBarLayer(histogram);
c.xAxis().setLabels(lbls);
return c.makeImage() as Bitmap;
}*/
/// <summary>
/// Generate a Chart of a Scan line
/// </summary>
/// <param name="b">Image to use</param>
/// <param name="row">Row to use</param>
/// <returns>Scan Line Chart</returns>
/*public static Bitmap GenerateScanLineChart(Bitmap b, int row)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
double[] luminance = new double[b.Width];
string[] lbls = new string[b.Width];
double max = double.MinValue;
double min = double.MaxValue;
for (int column = 0; column < i.Bitmap.Width; column++)
{
luminance[column] = i.GetGreyPixel(column, row);
if (luminance[column] > max) max = luminance[column];
if (luminance[column] < min) min = luminance[column];
if ((column % 40) == 0)
{
lbls[column] = column.ToString();
}
else
{
lbls[column] = string.Empty;
}
}
i.UnlockBitmap();
XYChart c = new XYChart(b.Width + 60, b.Height + 60);
c.setPlotArea(40, 40, b.Width - 20, b.Height - 20);
c.addTitle(string.Format("Pixel Luminance for Scan Line {0}, STF {1:0.00}",
row.ToString(),
(max - min) / (max + min)), "Arial Bold", 10).setBackground(
Chart.metalColor(0x9999ff), -1, 1);
c.addLineLayer(luminance);
c.xAxis().setLabels(lbls);
return c.makeImage() as Bitmap;
}*/
/// <summary>
/// Generate a Chart of a Vertical Scan line
/// </summary>
/// <param name="b">Image to use</param>
/// <param name="column">Column to use</param>
/// <returns>Scan Line Chart</returns>
/*public static Bitmap GenerateVerticalScanLineChart(Bitmap b, int col)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
double[] luminance = new double[b.Height];
string[] lbls = new string[b.Height];
for (int row = 0; row < i.Bitmap.Height; row++)
{
luminance[row] = i.GetGreyPixel(col, row);
if ((row % 40) == 0)
{
lbls[row] = row.ToString();
}
else
{
lbls[row] = string.Empty;
}
}
i.UnlockBitmap();
XYChart c = new XYChart(b.Width + 60, b.Height + 60);
c.setPlotArea(40, 40, b.Width - 20, b.Height - 20);
c.addTitle("Pixel Luminance for Vertical Scan Line " + col.ToString(),
"Arial Bold", 10).setBackground(
Chart.metalColor(0x9999ff), -1, 1);
c.addLineLayer(luminance);
c.xAxis().setLabels(lbls);
return c.makeImage() as Bitmap;
}*/
public static void GenerateExcelFile(Bitmap b)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
string fileName = "output.txt";
int f = 0;
using (StreamWriter sw = new StreamWriter(fileName, false))
{
sw.WriteLine("{0}\t{1}\t{2}\t{3}\t{4}\t{5}\t{6}", "Index", "Row", "Column", "Red",
"Green", "Blue", "Gray");
for (int column = 0; column < i.Bitmap.Width; column++)
{
for (int row = 0; row < i.Bitmap.Height; row++)
{
f++;
Color c = i.GetPixel(column, row);
int g = i.GetGreyPixel(column, row);
sw.WriteLine("{0}\t{1}\t{2}\t{3}\t{4}\t{5}\t{6}", f,
row, column, c.R, c.G, c.B, g);
}
}
}
i.UnlockBitmap();
System.Diagnostics.Process.Start(fileName);
}
private void button6_Click(object sender, EventArgs e)
{
var bmp = pictureBox1.Image as Bitmap;
using (var img = new ImagerBitmap(bmp))
{
for (int x = 0; x < img.Width; x++)
for (int y = 0; y < img.Height; y++)
{
if (y <= Height/3)
{
Color newColor = Color.FromArgb(255,255,255);
img.SetPixel(x, y, newColor);
}
else if (y <= 2 * Height / 3 && y >= Height / 3)
{
Color newColor = Color.FromArgb(0, 0, 255);
img.SetPixel(x, y, newColor);
}
else if (y >= 2 * Height / 3)
{
Color newColor = Color.FromArgb(255, 0, 0);
img.SetPixel(x, y, newColor);
}
}
pictureBox1.Image = img.Bitmap;
}
}
public static Bitmap LaplaceGreyscale(Bitmap b)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
ImagerBitmap i2 = new ImagerBitmap(b.Clone() as Bitmap);
for (int column = 1; column < i.Bitmap.Width - 1; column++)
{
for (int row = 1; row < i.Bitmap.Height - 1; row++)
{
int[,] c = i.GetGrey3x3(row, column);
int val = (((c[0, 0] + c[0, 1] + c[0, 2] + c[1, 0] + c[1, 2] + c[2, 0] + c[2, 1]
+ c[2, 2]) * -1) + (c[1, 1] * 8)) + 128;
if (val >= 128) val = 0; else val = 255;
i2.SetPixel(column, row, Color.FromArgb(val, val, val));
}
}
i.UnlockBitmap();
i2.UnlockBitmap();
return i2.Bitmap.Clone() as Bitmap;
}
private void button6_Click(object sender, EventArgs e)
{
var bmp = pictureBox1.Image as Bitmap;
using(var img = new ImagerBitmap(bmp))
{
for (int x = 0; x < img.Width; x++)
for (int y = 0; y < img.Height; y++)
{
var px = img.GetPixel(x, y);
var n = (px.R + px.G + px.B)/6;
Color newColor = Color.FromArgb(n, n, px.B);
img.SetPixel(x,y,newColor);
}
pictureBox1.Image = img.Bitmap;
}
}
/// <summary>
/// Make the image black and white
/// </summary>
/// <param name="b">Image to Process</param>
/// <returns>Filtered Image</returns>
public static Bitmap GetBlackAndWhiteBitmap(Bitmap b)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
double[] histogram = new double[256];
for (int column = 0; column < i.Bitmap.Width; column++)
{
for (int row = 0; row < i.Bitmap.Height; row++)
{
histogram[i.GetGreyPixel(column, row)]++;
}
}
//find the position of the max value on the left
int leftK = 0;
for (int k = 0; k < 128; k++)
{
if (histogram[k] > histogram[leftK])
{
leftK = k;
}
}
//find the position of the max value on the right
int rightK = 0;
for (int k = 128; k < 256; k++)
{
if (histogram[k] > histogram[rightK])
{
rightK = k;
}
}
//find the min value between the 2 local maxes
int localMin = rightK;
for (int k = leftK; k < rightK; k++)
{
if (histogram[k] < histogram[localMin])
{
localMin = k;
}
}
for (int column = 0; column < i.Bitmap.Width; column++)
{
for (int row = 0; row < i.Bitmap.Height; row++)
{
int val = (i.GetPixel(column, row).R + i.GetPixel(column, row).G
+ i.GetPixel(column, row).B) / 3;
if (val > localMin)
{
val = 255;
}
else
{
val = 0;
}
i.SetPixel(column, row, Color.FromArgb(val, val, val));
}
}
i.UnlockBitmap();
return(i.Bitmap.Clone() as Bitmap);
}
/// <summary>
/// Perform a Median fiter using a 5x5 Mask
/// </summary>
/// <param name="b">Image to Process</param>
/// <returns>Filtered Image</returns>
public static Bitmap Median5x5(Bitmap b)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
ImagerBitmap i2 = new ImagerBitmap(b.Clone() as Bitmap);
for (int column = 2; column < i.Bitmap.Width - 2; column++)
{
for (int row = 2; row < i.Bitmap.Height - 2; row++)
{
Color[,] c = i.Get5x5(row, column);
int red = Median(c[0, 0].R, c[0, 1].R, c[0, 2].R, c[0, 3].R, c[0, 4].R, c[1, 0].R,
c[1, 1].R, c[1, 2].R, c[1, 3].R, c[1, 4].R, c[2, 0].R, c[2, 1].R, c[2, 2].R,
c[2, 3].R, c[2, 4].R, c[3, 0].R, c[3, 1].R, c[3, 2].R, c[3, 3].R, c[3, 4].R,
c[4, 0].R, c[4, 1].R, c[4, 2].R, c[4, 3].R, c[4, 4].R);
int green = Median(c[0, 0].G, c[0, 1].G, c[0, 2].G, c[0, 3].G, c[0, 4].G, c[1, 0].G,
c[1, 1].G, c[1, 2].G, c[1, 3].G, c[1, 4].G, c[2, 0].G, c[2, 1].G, c[2, 2].G,
c[2, 3].G, c[2, 4].G, c[3, 0].G, c[3, 1].G, c[3, 2].G, c[3, 3].G, c[3, 4].G,
c[4, 0].G, c[4, 1].G, c[4, 2].G, c[4, 3].G, c[4, 4].G);
int blue = Median(c[0, 0].B, c[0, 1].B, c[0, 2].B, c[0, 3].B, c[0, 4].B, c[1, 0].B,
c[1, 1].B, c[1, 2].B, c[1, 3].B, c[1, 4].B, c[2, 0].B, c[2, 1].B, c[2, 2].B,
c[2, 3].B, c[2, 4].B, c[3, 0].B, c[3, 1].B, c[3, 2].B, c[3, 3].B, c[3, 4].B,
c[4, 0].B, c[4, 1].B, c[4, 2].B, c[4, 3].B, c[4, 4].B);
i2.SetPixel(column, row, Color.FromArgb(red, green, blue));
}
}
i.UnlockBitmap();
i2.UnlockBitmap();
return i2.Bitmap.Clone() as Bitmap;
}
/// <summary>
/// Subtract b2 from b1 and normalize the image
/// </summary>
/// <param name="b1">Image</param>
/// <param name="b2">Image</param>
/// <returns>Normalized Image</returns>
public static Bitmap Subtract(Bitmap b1, Bitmap b2)
{
if (b1.Width != b2.Width || b1.Height != b2.Height)
{
throw new Exception("Images not the same size cannot subtract");
}
ImagerBitmap i = new ImagerBitmap(b1.Clone() as Bitmap);
ImagerBitmap i2 = new ImagerBitmap(b2.Clone() as Bitmap);
int[,] red = new int[i.Bitmap.Width, i.Bitmap.Height];
int[,] blue = new int[i.Bitmap.Width, i.Bitmap.Height];
int[,] green = new int[i.Bitmap.Width, i.Bitmap.Height];
int redMax = 0;
int redMin = 0;
int redRange = 0;
int blueMax = 0;
int blueMin = 0;
int blueRange = 0;
int greenMax = 0;
int greenMin = 0;
int greenRange = 0;
//fill the arrays with the subtracted values
//Keep track of the min and max values for later
for (int column = 0; column < i.Bitmap.Width; column++)
{
for (int row = 0; row < i.Bitmap.Height; row++)
{
Color c1 = i.GetPixel(column, row);
Color c2 = i2.GetPixel(column, row);
red[column, row] = c2.R - c1.R;
blue[column, row] = c2.B - c1.B;
green[column, row] = c2.G - c1.G;
if (red[column, row] > redMax)
{
redMax = red[column, row];
}
if (red[column, row] < redMin)
{
redMin = red[column, row];
}
if (blue[column, row] > blueMax)
{
blueMax = blue[column, row];
}
if (blue[column, row] < blueMin)
{
blueMin = blue[column, row];
}
if (green[column, row] > greenMax)
{
greenMax = green[column, row];
}
if (green[column, row] < greenMin)
{
greenMin = green[column, row];
}
}
}
//find the range of the min an max
redRange = Math.Abs(redMax - redMin);
blueRange = Math.Abs(blueMax - blueMin);
greenRange = Math.Abs(greenRange - greenMin);
//Normalize the values in the arrays and load the result image
for (int column = 0; column < i.Bitmap.Width; column++)
{
for (int row = 0; row < i.Bitmap.Height; row++)
{
if (redRange != 0)
{
red[column, row] = 255 - (((redMax - red[column, row]) * 255) / redRange);
}
if (blueRange != 0)
{
blue[column, row] = 255 - (((blueMax - blue[column, row]) * 255) / blueRange);
}
if (greenRange != 0)
{
green[column, row] = 255 - (((greenMax - green[column, row]) * 255) / greenRange);
}
if (red[column, row] < 0)
{
red[column, row] = 0;
}
if (blue[column, row] < 0)
{
blue[column, row] = 0;
}
if (green[column, row] < 0)
{
green[column, row] = 0;
}
i2.SetPixel(column, row, Color.FromArgb(red[column, row], green[column, row],
blue[column, row]));
}
}
i.UnlockBitmap();
i2.UnlockBitmap();
return(i2.Bitmap.Clone() as Bitmap);
}
public static Bitmap GetBlackAndWhiteBitmap2(Bitmap b)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
double[] histogram = new double[256];
for (int column = 0; column < i.Bitmap.Width; column++)
{
for (int row = 0; row < i.Bitmap.Height; row++)
{
histogram[i.GetGreyPixel(column, row)]++;
}
}
double k = b.Width * b.Height;
double half = k / 2;
int middle = 0;
while (k > half)
{
k = k - histogram[middle];
middle++;
}
for (int column = 0; column < i.Bitmap.Width; column++)
{
for (int row = 0; row < i.Bitmap.Height; row++)
{
int val = (i.GetPixel(column, row).R + i.GetPixel(column, row).G
+ i.GetPixel(column, row).B) / 3;
if (val > middle)
val = 255;
else
val = 0;
i.SetPixel(column, row, Color.FromArgb(val, val, val));
}
}
i.UnlockBitmap();
return i.Bitmap.Clone() as Bitmap;
}
/// <summary>
/// Make the image black and white
/// </summary>
/// <param name="b">Image to Process</param>
/// <returns>Filtered Image</returns>
public static Bitmap GetBlackAndWhiteBitmap(Bitmap b)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
double[] histogram = new double[256];
for (int column = 0; column < i.Bitmap.Width; column++)
{
for (int row = 0; row < i.Bitmap.Height; row++)
{
histogram[i.GetGreyPixel(column, row)]++;
}
}
//find the position of the max value on the left
int leftK = 0;
for (int k = 0; k < 128; k++)
{
if (histogram[k] > histogram[leftK]) leftK = k;
}
//find the position of the max value on the right
int rightK = 0;
for (int k = 128; k < 256; k++)
{
if (histogram[k] > histogram[rightK]) rightK = k;
}
//find the min value between the 2 local maxes
int localMin = rightK;
for (int k = leftK; k < rightK; k++)
{
if (histogram[k] < histogram[localMin]) localMin = k;
}
for (int column = 0; column < i.Bitmap.Width; column++)
{
for (int row = 0; row < i.Bitmap.Height; row++)
{
int val = (i.GetPixel(column, row).R + i.GetPixel(column, row).G
+ i.GetPixel(column, row).B) / 3;
if (val > localMin)
val = 255;
else
val = 0;
i.SetPixel(column, row, Color.FromArgb(val, val, val));
}
}
i.UnlockBitmap();
return i.Bitmap.Clone() as Bitmap;
}
/// <summary>
/// Perform laplace edge detection on the image
/// </summary>
/// <param name="b">Source Image</param>
/// <returns>Edges</returns>
public static Bitmap Laplace(Bitmap b)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
ImagerBitmap i2 = new ImagerBitmap(b.Clone() as Bitmap);
for (int column = 1; column < i.Bitmap.Width - 1; column++)
{
for (int row = 1; row < i.Bitmap.Height - 1; row++)
{
Color[,] c = i.Get3x3(row, column);
int red = (((c[0, 0].R + c[0, 1].R + c[0, 2].R + c[1, 0].R + c[1, 2].R + c[2, 0].R
+ c[2, 1].R + c[2, 2].R) * -1) + (c[1, 1].R * 8)) + 128;
int green = (((c[0, 0].G + c[0, 1].G + c[0, 2].G + c[1, 0].G + c[1, 2].G
+ c[2, 0].G + c[2, 1].G + c[2, 2].G) * -1) + (c[1, 1].G * 8)) + 128;
int blue = (((c[0, 0].B + c[0, 1].B + c[0, 2].B + c[1, 0].B + c[1, 2].B + c[2, 0].B
+ c[2, 1].B + c[2, 2].B) * -1) + (c[1, 1].B * 8)) + 128;
if (red >= 128) red = 0; else red = 255;
if (green >= 128) green = 0; else green = 255;
if (blue >= 128) blue = 0; else blue = 255;
i2.SetPixel(column, row, Color.FromArgb(red, green, blue));
}
}
i.UnlockBitmap();
i2.UnlockBitmap();
return i2.Bitmap.Clone() as Bitmap;
}
private void button6_Click(object sender, EventArgs e)
{
var bmp = pictureBox1.Image as Bitmap;
Random rnd = new Random();
using (var img = new ImagerBitmap(bmp))
{
for (int x = 0; x < img.Width; x++)
for (int y = 0; y < img.Height; y++)
{
var px = img.GetPixel(x,y);
var S = ((px.R * 0.16 + px.G * 0.6 + px.B * 0.24)/128-1)*((float)trackBar1.Value/5)+1;
img.SetPixel(x, y, Color.FromArgb(cl(px.R*S),cl(px.G*S),cl(px.B*S)));
}
pictureBox1.Image = img.Bitmap;
}
}
private void button6_Click(object sender, EventArgs e)
{
var bmp = pictureBox1.Image as Bitmap;
using (var img = new ImagerBitmap(bmp))
{
var k = 0;
var radius = 0;
if (img.Width <= img.Height)
radius = img.Width/2;
else
radius = img.Height/2;
for (int x = 0; x < img.Width; x++)
for (int y = 0; y < img.Height; y++)
{
var px = img.GetPixel(x, y);
var intensity = px.R + px.B + px.G;
intensity /= 3;
Color newColor = Color.FromArgb(Math.Abs(px.R - intensity / 5), Math.Abs(px.G - intensity / 5), Math.Abs(px.B - intensity / 5));
img.SetPixel(x, y, newColor);
if ((Math.Pow(x - img.Width / 2, 2) + Math.Pow(y - img.Height / 2, 2)) >= Math.Pow(radius, 2))
{
Color newColor1 = Color.FromArgb(Math.Abs(px.G), Math.Abs(px.B), Math.Abs(px.R));
img.SetPixel(x, y, newColor1);
}
}
/*var radius = 0;
var k = 0;
if (img.Width <= img.Height)
radius = img.Width/2;
else
radius = img.Height/2;
{
for (int x = 0; x < img.Width; x++)
for (int y = 0; y < img.Height; y++)
{
var i = radius - 200;
var px = img.GetPixel(x, y);
var intensity = px.R + px.B + px.G;
intensity /= 3;
if (((x - img.Width / 2) ^ 2 + (y - img.Height / 2) ^ 2) >= (i ^ 2))
{
//Color newColor1 = Color.FromArgb(Math.Abs(px.R - intensity / (256 - i)), Math.Abs(px.G - intensity / (256 - i)), Math.Abs(px.B - intensity / (256 - i)));
Color newColor1 = Color.FromArgb(255, 255, 255);
img.SetPixel(x, y, newColor1);
}
}
}
//for (int i = radius - 200; i <= radius; i++ )*/
pictureBox1.Image = img.Bitmap;
}
}
/// <summary>
/// Perform a Binomial filter using a 5x5 Mask
/// </summary>
/// <param name="b">Image to Process</param>
/// <returns>Filtered Image</returns>
public static Bitmap Binomial5x5(Bitmap b)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
ImagerBitmap i2 = new ImagerBitmap(b.Clone() as Bitmap);
for (int column = 2; column < i.Bitmap.Width - 2; column++)
{
for (int row = 2; row < i.Bitmap.Height - 2; row++)
{
Color[,] c = i.Get5x5(row, column);
int red = ((c[0, 0].R * 1) + (c[0, 1].R * 4) + (c[0, 2].R * 6) + (c[0, 3].R * 4)
+ (c[0, 4].R * 1) + (c[1, 0].R * 4) + (c[1, 1].R * 16) + (c[1, 2].R * 24)
+ (c[1, 3].R * 16) + (c[1, 4].R * 4) + (c[2, 0].R * 6) + (c[2, 1].R * 24)
+ (c[2, 2].R * 36) + (c[2, 3].R * 24) + (c[2, 4].R * 6) + (c[3, 0].R * 4)
+ (c[3, 1].R * 16) + (c[3, 2].R * 24) + (c[3, 3].R * 16) + (c[3, 4].R * 4)
+ (c[4, 0].R * 1) + (c[4, 1].R * 4) + (c[4, 2].R * 6) + (c[4, 3].R * 4)
+ (c[4, 4].R * 1)) / 256;
int green = ((c[0, 0].G * 1) + (c[0, 1].G * 4) + (c[0, 2].G * 6) + (c[0, 3].G * 4)
+ (c[0, 4].G * 1) + (c[1, 0].G * 4) + (c[1, 1].G * 16) + (c[1, 2].G * 24)
+ (c[1, 3].G * 16) + (c[1, 4].G * 4) + (c[2, 0].G * 6) + (c[2, 1].G * 24)
+ (c[2, 2].G * 36) + (c[2, 3].G * 24) + (c[2, 4].G * 6) + (c[3, 0].G * 4)
+ (c[3, 1].G * 16) + (c[3, 2].G * 24) + (c[3, 3].G * 16) + (c[3, 4].G * 4)
+ (c[4, 0].G * 1) + (c[4, 1].G * 4) + (c[4, 2].G * 6) + (c[4, 3].G * 4)
+ (c[4, 4].G * 1)) / 256;
int blue = ((c[0, 0].B * 1) + (c[0, 1].B * 4) + (c[0, 2].B * 6) + (c[0, 3].B * 4)
+ (c[0, 4].B * 1) + (c[1, 0].B * 4) + (c[1, 1].B * 16) + (c[1, 2].B * 24)
+ (c[1, 3].B * 16) + (c[1, 4].B * 4) + (c[2, 0].B * 6) + (c[2, 1].B * 24)
+ (c[2, 2].B * 36) + (c[2, 3].B * 24) + (c[2, 4].B * 6) + (c[3, 0].B * 4)
+ (c[3, 1].B * 16) + (c[3, 2].B * 24) + (c[3, 3].B * 16) + (c[3, 4].B * 4)
+ (c[4, 0].B * 1) + (c[4, 1].B * 4) + (c[4, 2].B * 6) + (c[4, 3].B * 4)
+ (c[4, 4].B * 1)) / 256;
i2.SetPixel(column, row, Color.FromArgb(red, green, blue));
}
}
i.UnlockBitmap();
i2.UnlockBitmap();
return i2.Bitmap.Clone() as Bitmap;
}
private void buttonNew_Click(object sender, EventArgs e)
{
var bmp = pictureBox1.Image as Bitmap;
var dst = bmp.Clone() as Bitmap;
using (var img = new ImagerBitmap(bmp))
using (var imgDst = new ImagerBitmap(dst))
{
for (int x = 0; x < img.Width; x++)
for (int y = 0; y < img.Height; y++)
{
var px = img.GetPixel(x, y);
var sepia = (px.G + px.R+px.B)/3;
if (x < 7 || x > img.Width - 7 || y < 7 || y > img.Height-7)
{
imgDst.SetPixel(x, y, Color.DarkSeaGreen);
}
else
{
Color newColor = Color.FromArgb(25,sepia, sepia/2, sepia/6);
imgDst.SetPixel(x, y, newColor);
}
}
pictureBox1.Image = imgDst.Bitmap;
}
}
private void button6_Click(object sender, EventArgs e)
{
var bmp = pictureBox1.Image as Bitmap;
var dst = bmp.Clone() as Bitmap;
using (var img = new ImagerBitmap(bmp))
{
for (int x = 0; x < img.Width; x++)
for (int y = 0; y < img.Height; y++)
{
var px = img.GetPixel(x, y);
var intensity = px.G + px.R + px.B;
Color newColor;
if (intensity >= 383)
newColor = Color.FromArgb(255, 255, 255);
else
newColor = Color.FromArgb(0, 0, 0);
img.SetPixel(x, y, newColor);
}
pictureBox1.Image = img.Bitmap;
}
}
private void New2_Click(object sender, EventArgs e)
{
int n = 0;
var bmp = pictureBox1.Image as Bitmap;
var dst = bmp.Clone() as Bitmap;
using (var img = new ImagerBitmap(bmp))
using (var imgDst = new ImagerBitmap(dst))
{
Random rand=new Random();
for (int x = 3; x < imgDst.Width-3; x++)
for (int y = 3; y < imgDst.Height-3; y++)
{
var px = img.GetPixel(x, y);
if (rand.Next(200) == 100)
{
imgDst.SetPixel(x, y - 2, Color.White);
imgDst.SetPixel(x, y - 3, Color.White);
imgDst.SetPixel(x, y - 1, Color.White);
imgDst.SetPixel(x - 3, y, Color.White);
imgDst.SetPixel(x - 2, y, Color.White);
imgDst.SetPixel(x - 1, y, Color.White);
imgDst.SetPixel(x, y, Color.White);
imgDst.SetPixel(x + 1, y, Color.White);
imgDst.SetPixel(x + 2, y, Color.White);
imgDst.SetPixel(x + 3, y, Color.White);
imgDst.SetPixel(x, y + 1, Color.White);
imgDst.SetPixel(x, y + 2, Color.White);
imgDst.SetPixel(x, y + 3, Color.White);
imgDst.SetPixel(x+1, y+1, Color.White);
imgDst.SetPixel(x+2, y+2, Color.White);
imgDst.SetPixel(x-1, y-1, Color.White);
imgDst.SetPixel(x-2, y-2, Color.White);
imgDst.SetPixel(x-1, y+1, Color.White);
imgDst.SetPixel(x-2, y+2, Color.White);
imgDst.SetPixel(x+1, y-1, Color.White);
imgDst.SetPixel(x+2, y-2, Color.White);
x = x + 3;
y = y + 3;
}
}
pictureBox1.Image = imgDst.Bitmap;
}
}
private void button6_Click(object sender, EventArgs e)
{
var bmp = pictureBox1.Image as Bitmap;
// var image = new ImagerBitmap(bmp);
using (var image = new ImagerBitmap(bmp))
{ for (int i=0;i<image.Height;i++)
for (int j = 0; j < image.Width; j++)
{
Color color = image.GetPixel(j, i);
Color newcolor = Color.FromArgb(255 - color.R, 255 - color.G, 255 - color.B);
image.SetPixel(j,i,newcolor);
}
pictureBox1.Image = image.Bitmap;
}
}
/// <summary>
/// Perform a Bionomial filter using a 3x3 Mask
/// </summary>
/// <param name="b">Image to Process</param>
/// <returns>Filtered Image</returns>
public static Bitmap Binomial3x3(Bitmap b)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
ImagerBitmap i2 = new ImagerBitmap(b.Clone() as Bitmap);
for (int column = 1; column < i.Bitmap.Width - 1; column++)
{
for (int row = 1; row < i.Bitmap.Height - 1; row++)
{
Color[,] c = i.Get3x3(row, column);
int red = ((c[0, 0].R * 1) + (c[0, 1].R * 2) + (c[0, 2].R * 1) + (c[1, 0].R * 2)
+ (c[1, 1].R * 4) + (c[1, 2].R * 2) + (c[2, 0].R * 1) + (c[2, 1].R * 2)
+ (c[2, 2].R * 1)) / 16;
int green = ((c[0, 0].G * 1) + (c[0, 1].G * 2) + (c[0, 2].G * 1) + (c[1, 0].G * 2)
+ (c[1, 1].G * 4) + (c[1, 2].G * 2) + (c[2, 0].G * 1) + (c[2, 1].G * 2)
+ (c[2, 2].G * 1)) / 16;
int blue = ((c[0, 0].B * 1) + (c[0, 1].B * 2) + (c[0, 2].B * 1) + (c[1, 0].B * 2)
+ (c[1, 1].B * 4) + (c[1, 2].B * 2) + (c[2, 0].B * 1) + (c[2, 1].B * 2)
+ (c[2, 2].B * 1)) / 16;
i2.SetPixel(column, row, Color.FromArgb(red, green, blue));
}
}
i.UnlockBitmap();
i2.UnlockBitmap();
return i2.Bitmap.Clone() as Bitmap;
}
