/// <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);
}
/// <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);
}
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);
}
