// Constructor
public LevelsLinearForm(AForge.Imaging.ImageStatistics imgStat)
{
//
// Required for Windows Form Designer support
//
InitializeComponent();
//
// TODO: Add any constructor code after InitializeComponent call
//
this.imgStat = imgStat;
if (!imgStat.IsGrayscale)
{
// RGB picture
channelCombo.Items.AddRange(new object[] {"Red", "Green", "Blue"});
channelCombo.Enabled = true;
}
else
{
// grayscale picture
channelCombo.Items.Add("Gray");
channelCombo.Enabled = false;
allCheckBox.Enabled = false;
}
channelCombo.SelectedIndex = 0;
filterPreview.Filter = filter;
}
// Constructor
public LevelsLinearForm(AForge.Imaging.ImageStatistics imgStat)
{
//
// Required for Windows Form Designer support
//
InitializeComponent( );
//
// TODO: Add any constructor code after InitializeComponent call
//
this.imgStat = imgStat;
if (!imgStat.IsGrayscale)
{
// RGB picture
channelCombo.Items.AddRange(new object[] { "Red", "Green", "Blue" });
channelCombo.Enabled = true;
}
else
{
// grayscale picture
channelCombo.Items.Add("Gray");
channelCombo.Enabled = false;
allCheckBox.Enabled = false;
}
channelCombo.SelectedIndex = 0;
filterPreview.Filter = filter;
}
/// <summary>
/// Get rectangle contain object in current frame
/// </summary>
/// <param name="templateInfo">Tracking template information</param>
/// <param name="source">Frame</param>
/// <returns>Rectangle contain object</returns>
public static Rectangle TemplateColorTracking(ImageStatistics templateInfo, ref UnmanagedImage source)
{
UnmanagedImage image = source.Clone();
// create filter
EuclideanColorFiltering filter = new EuclideanColorFiltering();
// set center colol and radius
filter.CenterColor = new RGB(
(byte)templateInfo.Red.Mean,
(byte)templateInfo.Green.Mean,
(byte)templateInfo.Blue.Mean);
filter.Radius = 30;
// apply the filter
filter.ApplyInPlace(image);
image = Grayscale.CommonAlgorithms.BT709.Apply(image);
OtsuThreshold threshold = new OtsuThreshold();
threshold.ApplyInPlace(image);
BlobCounter blobCounter = new BlobCounter();
blobCounter.ObjectsOrder = ObjectsOrder.Size;
blobCounter.ProcessImage(image);
Rectangle rect = blobCounter.ObjectsCount > 0 ? blobCounter.GetObjectsRectangles()[0] : Rectangle.Empty;
return rect;
}
public override AlgorithmResult ProcessData()
{
byte[,] pixels = Input.Image.GetPixels();
if (gMin == -1 || gMean == -1 || gMax == -1)
{
var stats = new ImageStatistics(Input.Image);
gMin = stats.Gray.Min;
gMax = stats.Gray.Max;
gMean = (byte) ((gMax - gMin)/2 + gMin);
}
InferenceSystem system = SetupInferenceSystem((byte) gMin, (byte) gMax, (byte) gMean);
var result = new byte[pixels.GetLength(0),pixels.GetLength(1)];
for (int i = 0; i < pixels.GetLength(0); i++)
{
for (int j = 0; j < pixels.GetLength(1); j++)
{
system.SetInput("LumaIn", pixels[i, j]);
double inferrenceResult = system.Evaluate("LumaOut");
result[i, j] = (byte) inferrenceResult;
}
}
return new AlgorithmResult(result);
}
/// <summary>
/// Convert grayscale to RGB colour space.
/// </summary>
/// <param name="bitmap">The bitmap.</param>
public static Bitmap Channel(this Bitmap bitmap) {
var imageStatistics = new ImageStatistics(bitmap);
if (!imageStatistics.IsGrayscale) return bitmap;
var grayscaleToRgb = new GrayscaleToRGB();
var result = grayscaleToRgb.Apply(bitmap);
bitmap.Dispose();
return result;
}
private void GetHistogram()
{
ImageStatistics rgbStatistics = new ImageStatistics(_image);
AForge.Math.Histogram h = rgbStatistics.Red;
RedValues = h.Values;
h = rgbStatistics.Green;
GreenValues = h.Values;
h = rgbStatistics.Blue;
BlueValues = h.Values;
}
/// <summary>
/// Linear correction in RGB colour space.
/// </summary>
/// <param name="bitmap">The bitmap.</param>
public static Bitmap Colour(this Bitmap bitmap) {
if ((bitmap = bitmap.Channel()) == null) return null;
var imageStatistics = new ImageStatistics(bitmap);
var levelsLinear = new LevelsLinear {
InRed = imageStatistics.Red.GetRange(0.995),
InGreen = imageStatistics.Green.GetRange(0.995),
InBlue = imageStatistics.Blue.GetRange(0.995)
};
levelsLinear.ApplyInPlace(bitmap);
return bitmap;
}
public static Bitmap Equalize(Bitmap image, Rectangle region)
{
int startX = region.Left;
int startY = region.Top;
int stopX = image.Width - 1;
int stopY = image.Height - 1;
if (startX + region.Width < image.Width)
{
stopX = startX + region.Width;
}
if (startY + region.Height < image.Height)
{
stopY = startX + region.Height;
}
int numberOfPixels = (stopX - startX) * (stopY - startY);
Bitmap bitmap = new Bitmap(region.Width, region.Height);
Graphics g = Graphics.FromImage(bitmap);
g.DrawImage(image, new Rectangle(0, 0, region.Width, region.Height), region, GraphicsUnit.Pixel);
ImageStatistics rgbStatistics = new ImageStatistics(bitmap);
byte[] equalizedHistogramR = EqualizeHistogram(rgbStatistics.Red.Values, numberOfPixels);
byte[] equalizedHistogramG = EqualizeHistogram(rgbStatistics.Green.Values, numberOfPixels);
byte[] equalizedHistogramB = EqualizeHistogram(rgbStatistics.Blue.Values, numberOfPixels);
var b = new Bitmap(image);
BitmapData bmpData = b.LockBits(new Rectangle(0, 0, b.Width, b.Height), ImageLockMode.ReadWrite, b.PixelFormat);
IntPtr ptr = bmpData.Scan0;
int stride = bmpData.Stride;
int bytes = Math.Abs(bmpData.Stride) * b.Height;
byte[] rgbValues = new byte[bytes];
System.Runtime.InteropServices.Marshal.Copy(ptr, rgbValues, 0, bytes);
Parallel.For(startY, stopY, y =>
{
for (int x = startX; x < stopX; x++)
{
int i = y * stride + x * 4;
rgbValues[i] = equalizedHistogramR[rgbValues[i]];
rgbValues[i + 1] = equalizedHistogramG[rgbValues[i + 1]];
rgbValues[i + 2] = equalizedHistogramB[rgbValues[i + 2]];
}
});
System.Runtime.InteropServices.Marshal.Copy(rgbValues, 0, ptr, bytes);
b.UnlockBits(bmpData);
return b;
}
public override AlgorithmResult ProcessData()
{
var stats = new ImageStatistics(Input.Image);
int minGray = stats.Gray.Min;
int maxGray = stats.Gray.Max;
byte[,] pixels = Input.Image.GetPixels();
double[,] memberships = pixels.ApplyTransform(x => MembershipFunction(x, minGray, maxGray));
double[,] modifiedMembership = memberships.ApplyTransform(MembershipModification);
byte[,] newValues = modifiedMembership.ApplyTransform(Defuzzyfication).NarrowToBytes();
Input.Measure = FuzzyMeasures.Fuzz(memberships);
return new AlgorithmResult(newValues)
{
Measure = FuzzyMeasures.Fuzz(modifiedMembership)
};
}
// Constructor
public ColorImageStatisticsDescription(Bitmap image)
{
// get image dimensions
int width = image.Width;
int height = image.Height;
// lock it
BitmapData imgData = image.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.ReadOnly, PixelFormat.Format24bppRgb);
// gather statistics
statRGB = new ImageStatistics(imgData);
statHSL = new ImageStatisticsHSL(imgData);
statYCbCr = new ImageStatisticsYCbCr(imgData);
// unlock image
image.UnlockBits(imgData);
}
/// <summary>
/// Convert grayscale to RGB colour space.
/// </summary>
/// <param name="Bitmap">The bitmap.</param>
public static Bitmap Channel(this Bitmap Bitmap)
{
// Initialize a new instance of the ImageStatistics class.
ImageStatistics ImageStatistics = new ImageStatistics(Bitmap);
// Check if the image is grayscale.
if (ImageStatistics.IsGrayscale) {
// Initialize a new instance of the GrayscaleToRGB class.
GrayscaleToRGB GrayscaleToRGB = new GrayscaleToRGB();
// Apply the filter to the image.
Bitmap Result = GrayscaleToRGB.Apply(Bitmap);
// Dispose of the original image.
Bitmap.Dispose();
// Return the result.
return Result;
}
// Return the bitmap.
return Bitmap;
}
// Set image statistics to display
public void SetImageStatistics( ImageStatistics stats )
{
this.stats = stats;
if ( stats.IsGrayscale )
{
activeHistogram = stats.Gray;
histogram.Color = Color.Black;
channelCombo.Enabled = false;
ShowInfoForActiveHistogram( );
}
else
{
channelCombo.Enabled = true;
channelCombo.SelectedIndex = 0;
SelectChannel( 0 );
}
}
private void hisVec(Bitmap videoFrame)
{
ImageStatistics rgbStatistics = new ImageStatistics(videoFrame);
int[] redValues = rgbStatistics.Red.Values;
int[] greenValues = rgbStatistics.Green.Values;
int[] blueValues = rgbStatistics.Blue.Values;
int[] his = new int[256];
for (int j = 0; j < 256; j++)
{
his[j] = (redValues[j] + greenValues[j] + blueValues[j]) / 3;
}
Vechist = his[0].ToString();
for (int i = 1; i < his.Length; i++)
{
Vechist = Vechist + " " + his[i].ToString();
}
}
/// <summary>
/// Given a Document, this heuristic attempts to determine what the background is by finding the most common rgb
/// colors in a border around the image
/// </summary>
/// <param name="document">Image to be analyzed</param>
/// <param name="border">Size of the border in percent</param>
/// <returns>Bgr color best-guess for background color</returns>
public static Bgr DetectBackground(Bitmap document, int border = 10)
{
double border2 = (double)border / 100f;
System.Drawing.Point tl = new System.Drawing.Point((int)(border2 * document.Width), (int)(border2 * document.Height));
System.Drawing.Point br = new System.Drawing.Point((int)(document.Width - (border2 * document.Width)), (int)(document.Height - (border2 * document.Height)));
Rectangle rect = new Rectangle(tl.X, tl.Y, br.X - tl.X, br.Y - tl.Y);
UnmanagedImage blackened = UnmanagedImage.FromManagedImage(document);
AForge.Imaging.Drawing.FillRectangle(blackened, rect, Color.Black);
Bitmap blacknew = blackened.ToManagedImage();
AForge.Imaging.ImageStatistics stat = new ImageStatistics(blacknew);
Histogram red = stat.RedWithoutBlack;
Histogram green = stat.GreenWithoutBlack;
Histogram blue = stat.BlueWithoutBlack;
int indexR = (int)red.Median;
int indexB = (int)blue.Median;
int indexG = (int)green.Median;
Emgu.CV.Image<Bgra, Byte> blackcv = new Image<Bgra, byte>(blacknew);
return new Bgr((double)indexB, (double)indexG, (double)indexR);
}
// Gather image statistics
public void GatherStatistics(Bitmap image)
{
// get statistics
stat = (image == null) ? null : new ImageStatistics(image);
// free
Cursor = Cursors.Arrow;
Capture = false;
// clean combo
channelCombo.Items.Clear();
channelCombo.Enabled = false;
if (stat != null)
{
if (!stat.IsGrayscale)
{
// RGB picture
channelCombo.Items.AddRange(new object[] { "Red", "Green", "Blue" });
channelCombo.Enabled = true;
}
else
{
// grayscale picture
channelCombo.Items.Add("Gray");
}
channelCombo.SelectedIndex = 0;
}
else
{
histogram.Values = null;
meanLabel.Text = String.Empty;
stdDevLabel.Text = String.Empty;
medianLabel.Text = String.Empty;
minLabel.Text = String.Empty;
maxLabel.Text = String.Empty;
levelLabel.Text = String.Empty;
countLabel.Text = String.Empty;
percentileLabel.Text = String.Empty;
}
}
static bool isEmpty(Bitmap bmp)
{
int threshold = 80; //threshold for number of zeroes in the histogram or number of missing grayscale values
ImageStatistics rgbStatistics = new ImageStatistics(bmp);
int[] redValues = rgbStatistics.Red.Values;
int[] greenValues = rgbStatistics.Green.Values;
int[] blueValues = rgbStatistics.Blue.Values;
int zeroTally = 0;
for (int i = 0; i < 256; i++)
{
int value = (redValues[i] + greenValues[i] + blueValues[i]) / 3;
if (value == 0)
zeroTally++;
}
bool output = zeroTally > threshold;
return output;
}
/// <summary>
/// Linear correction in RGB colour space.
/// </summary>
/// <param name="Bitmap">The bitmap.</param>
public static Bitmap Colour(this Bitmap Bitmap)
{
// Convert grayscale to RGB colour space.
if ((Bitmap = Bitmap.Channel()) != null) {
// Initialize a new instance of the LevelsLinear class.
ImageStatistics ImageStatistics = new ImageStatistics(Bitmap);
// Initialize a new instance of the LevelsLinear class.
LevelsLinear LevelsLinear = new LevelsLinear {
// Retrieve and set the range around the median for the red-channel.
InRed = ImageStatistics.Red.GetRange(0.995),
// Retrieve and set the range around the median for the green-channel.
InGreen = ImageStatistics.Green.GetRange(0.995),
// Retrieve and set the range around the median for the blue-channel.
InBlue = ImageStatistics.Blue.GetRange(0.995)
};
// Apply the filter to the image.
LevelsLinear.ApplyInPlace(Bitmap);
}
// Return the bitmap.
return Bitmap;
}
public double GetTemperature()
{
var temp = 0.0;
var image = Image.FromFile(filename);
var grayscale = new Grayscale(0.2125, 0.7154, 0.0721);
image = grayscale.Apply(image);
var invert = new Invert();
image = invert.Apply(image);
var stats = new ImageStatistics(image);
var levelsLinear = new LevelsLinear
{
InGray = stats.Gray.GetRange(2.90)
};
image = levelsLinear.Apply(image);
var contrast = new ContrastStretch();
image = contrast.Apply(image);
var erosion = new Erosion();
image = erosion.Apply(image);
var blur = new GaussianBlur(2, 3);
image = blur.Apply(image);
var threshold = new Threshold(79);
image = threshold.Apply(image);
image.Save(processedFileName, System.Drawing.Imaging.ImageFormat.Jpeg);
image.Dispose();
var text = Recognise();
double.TryParse(text.Replace(',', '.'), out temp);
return temp;
}
private static HistogramHash GetRGBHistogram(string file)
{
var values = new List<int>();
var histogramfile = Path.Combine(HitogramPath, Guid.NewGuid() + ".jpg");
File.Copy(file, histogramfile);
using (var bmp = new System.Drawing.Bitmap(histogramfile))
{
// Luminance
var hslStatistics = new ImageStatisticsHSL(bmp);
values.AddRange(hslStatistics.Luminance.Values.ToList());
// RGB
var rgbStatistics = new ImageStatistics(bmp);
values.AddRange(rgbStatistics.Red.Values.ToList());
values.AddRange(rgbStatistics.Green.Values.ToList());
values.AddRange(rgbStatistics.Blue.Values.ToList());
}
File.Delete(histogramfile);
return new HistogramHash(file, values);
}
void BrightNessToolStripMenuItemClick(object sender, EventArgs e)
{
//jika gambar kosong/null maka akan mengembalikan nilai kosong/null
if (gambar == null)
{
return;
}
//clone variable gambar ke variable gambar2 dan menginisiasi class Rectangle
//dan menerapkan format pixel 24bppRgb
gambar2 = gambar.Clone(new Rectangle(0, 0, gambar.Width, gambar.Height),
System.Drawing.Imaging.PixelFormat.Format24bppRgb);
//calculate maximum value pada gambar2
AForge.Imaging.ImageStatistics stat = new AForge.Imaging.ImageStatistics(gambar2);
//menginisiasi varibale max
int max = Math.Max(Math.Max(stat.Red.Max, stat.Green.Max), stat.Blue.Max);
//membuat filter dari inisiasi class BrightnessCorrection() pada objek brightnessCorrection
//dengan argumen 255-max
BrightnessCorrection brightnessCorrection = new BrightnessCorrection(255 - max);
//menerapkan filter pada gambar2
brightnessCorrection.ApplyInPlace(gambar2);
pictureBox2.Image = gambar2;
}
/* Given two images it makes a histogram comparison of its color channels
* and returns a double indicating the level of similarity.
* The smaller the value, the more similar the images are */
private double HistogramBitmapDifference(Bitmap image1, Bitmap image2)
{
ImageStatistics stats1 = new ImageStatistics(image1);
ImageStatistics stats2 = new ImageStatistics(image2);
double blueDiff = Math.Abs(stats1.Blue.Mean - stats2.Blue.Mean);
double greenDiff = Math.Abs(stats1.Green.Mean - stats2.Green.Mean);
double redDiff = Math.Abs(stats1.Red.Mean - stats2.Red.Mean);
return ((redDiff + blueDiff + greenDiff) / 3.0d);
}
// Scan the gem Board and capture a coloured pixel from each cell
public bool ScanGrid()
{
bool bMatchedAllPieces = true;
int unmatchedCount = 0;
Color[,] pieceColors = new Color[8, 8];
List<double> scores = new List<double>();
const int CellExtractionFactor = 8; // 8ths, so skip first 5 px
int top = CellSize / CellExtractionFactor;//topOffset;
int left = CellSize / CellExtractionFactor; //leftOffset;
string workingPath = System.IO.Path.Combine(System.IO.Directory.GetCurrentDirectory(), DateTime.Now.ToString("hhmm"));
//System.IO.Directory.CreateDirectory(workingPath+"known");
//System.IO.Directory.CreateDirectory(workingPath + "unknown");
// Mask out board
Bitmap bmpMask = GetBitmap("board.mask", bmpBoard.Size, bmpBoard.PixelFormat);
if (bmpMask != null)
{
Subtract subFilter = new Subtract(bmpMask);
if (subFilter != null)
subFilter.ApplyInPlace(bmpBoard);
Bitmap bmpRenderedBoard;
if (game.DebugMode)
{
bmpRenderedBoard = bmpBoard.Clone(new Rectangle(0, 0, bmpBoard.Width, bmpBoard.Height), bmpBoard.PixelFormat);
using (Graphics g = Graphics.FromImage(bmpRenderedBoard))
{
System.Drawing.Imaging.ColorMatrix cm = new System.Drawing.Imaging.ColorMatrix();
cm.Matrix00 = cm.Matrix11 = cm.Matrix22 = cm.Matrix44 = 1;
cm.Matrix43 = 1.0F;
System.Drawing.Imaging.ImageAttributes ia = new System.Drawing.Imaging.ImageAttributes();
ia.SetColorMatrix(cm);
g.DrawImage(bmpBoard, new Rectangle(0, 0, bmpBoard.Width, bmpBoard.Height), 0, 0, bmpBoard.Width, bmpBoard.Height, GraphicsUnit.Pixel, ia);
}
}
}
// Across
for (int x = 0; x < GridSize; x++)
{
// Down
for (int y = 0; y < GridSize; y++)
{
int boxLeft = left + (CellSize * x);
int boxTop = top + (CellSize * y);
// Get image of current gem
Rectangle rect = new Rectangle(boxLeft, boxTop, CellSize - 2 * (CellSize / CellExtractionFactor), CellSize - 2 * (CellSize / CellExtractionFactor));
Bitmap cropped = bmpBoard.Clone(rect, bmpBoard.PixelFormat);
ImageStatistics stats = new ImageStatistics(cropped);
// Capture a colour from this gem
Gem PieceColor = new Gem { Name = GemColor.None, Modifiers = GemModifier.None, Color = Color.FromArgb(255, (int)stats.Red.Mean, (int)stats.Green.Mean, (int)stats.Blue.Mean) };
// Calculate best score
double bestScore = 255*3; // what should this be set to?
double curScore = 0;
foreach (Gem gem in listGemColorStats)
{
curScore = Math.Pow(gem.Color.R-stats.Red.Mean, 2)
+ Math.Pow(gem.Color.G-stats.Green.Mean, 2)
+ Math.Pow(gem.Color.B-stats.Blue.Mean, 2);
if (curScore < bestScore)
{
PieceColor = gem;
bestScore = curScore;
}
}
scores.Add(bestScore);
// Store it in the Board matrix at the correct position
Board[x + 3, y + 3] = PieceColor;
Color newColor = Color.FromArgb(255,(int)stats.Red.Mean, (int)stats.Green.Mean, (int)stats.Blue.Mean);
pieceColors[x, y] = newColor;
if (game.DebugMode)
{
if (PieceColor.Name == GemColor.None || PieceColor.Modifiers == GemModifier.Background)
{
unmatchedCount++;
bMatchedAllPieces = false; // Didn't match one of the pieces, break on this
if ((DateTime.Now - backgroundMatchTimestamp).Seconds > 5)
{
System.IO.Directory.CreateDirectory(workingPath);
string colorName = string.Format("_{0}_{1}_{2}_", (int)newColor.R, (int)newColor.G, (int)newColor.B);
string gemName = string.Format("{0}.{1}", PieceColor.Name, PieceColor.Modifiers);
string basePath = System.IO.Path.Combine(workingPath, gemName);
string thisPath = string.Format("{0}{1}.bmp", basePath, colorName);
cropped.Save(thisPath);
game.Debug(String.Format("Written out unknown gamepiece {0},{1}", x,y));
//System.Diagnostics.Debugger.Break();
}
}
}
if (!listGemColorStats.Contains(PieceColor))
{
//listGemColorStats.Add(PieceColor, Color.FromArgb( stats.Red.Mean, stats.Green.Mean, stats.Blue.Mean });
}
/*
if (debugMode)
{
if (!knownColors.Contains(PieceColor))
{
string currentFilePath = Path.Combine(workingPath, string.Format("{0}.bmp",knownColors.Count));
using (FileStream fs = new FileStream(currentFilePath, FileMode.Create, FileAccess.Write))
{
cropped.Save(fs, System.Drawing.Imaging.ImageFormat.Bmp);
}
debugConsole.AppendText("Saved color " + PieceColor + " to file " + currentFilePath + System.Environment.NewLine);
knownColors.Add(PieceColor);
}
}*/
}
}
if (bMatchedAllPieces)
backgroundMatchTimestamp = DateTime.Now;
return bMatchedAllPieces && unmatchedCount < 3;
// Build known averages
//RED
/*
*
*
* 0,0 0,2 0,5 0,6
* 1,4 1,6
* 3,2
* 5,2
* 6,7
*/
/*
List<Tuple<int,int>> redPairs = new List<Tuple<int,int>>();
redPairs.Add(new Tuple<int,int>(0,0));
redPairs.Add(new Tuple<int, int>(0, 2));
redPairs.Add(new Tuple<int, int>(0, 5));
redPairs.Add(new Tuple<int, int>(0, 6));
redPairs.Add(new Tuple<int, int>(1, 3));
redPairs.Add(new Tuple<int, int>(1, 5));
redPairs.Add(new Tuple<int, int>(3, 2));
redPairs.Add(new Tuple<int, int>(5, 2));
redPairs.Add(new Tuple<int,int>(6,7));
//BLUE
/*
*
*
* 1,1 1,2
* 2,6 2,7
* 3,6
* 4,7
* 5,0 5,3 5,6
* 6,5 6,6
* 7,3 7,5
*/
/*
List<Tuple<int, int>> bluePairs = new List<Tuple<int, int>>();
bluePairs.Add(new Tuple<int, int>(1, 1));
bluePairs.Add(new Tuple<int, int>(1, 2));
bluePairs.Add(new Tuple<int, int>(2, 6));
bluePairs.Add(new Tuple<int, int>(2, 7));
bluePairs.Add(new Tuple<int, int>(3, 6));
bluePairs.Add(new Tuple<int, int>(4, 7));
bluePairs.Add(new Tuple<int, int>(5, 0));
bluePairs.Add(new Tuple<int, int>(5, 3));
bluePairs.Add(new Tuple<int, int>(5, 6));
bluePairs.Add(new Tuple<int, int>(6, 5));
bluePairs.Add(new Tuple<int, int>(6, 6));
bluePairs.Add(new Tuple<int, int>(7, 3));
bluePairs.Add(new Tuple<int, int>(7, 5));
*/
//GREEN
/*
*
*
* 0,7
* 3,1 3,5
* 4,5
* 6,4
* 7,1
*/
/*
List<Tuple<int, int>> greenPairs = new List<Tuple<int, int>>();
greenPairs.Add(new Tuple<int, int>(0, 7));
greenPairs.Add(new Tuple<int, int>(3, 1));
greenPairs.Add(new Tuple<int, int>(3, 5));
greenPairs.Add(new Tuple<int, int>(4, 5));
greenPairs.Add(new Tuple<int, int>(6, 4));
greenPairs.Add(new Tuple<int, int>(7, 1));
*/
//YELLOW
/*
* 0,3
* 1,7
* 2,1 2,3 2,4
* 4,0
* 5,5
* 6,2
* 7,6 7,7
*/
/*
List<Tuple<int, int>> yellowPairs = new List<Tuple<int, int>>();
yellowPairs.Add(new Tuple<int, int>(0, 3));
yellowPairs.Add(new Tuple<int, int>(1, 7));
yellowPairs.Add(new Tuple<int, int>(2, 1));
yellowPairs.Add(new Tuple<int, int>(2, 3));
yellowPairs.Add(new Tuple<int, int>(2, 4));
yellowPairs.Add(new Tuple<int, int>(4, 0));
yellowPairs.Add(new Tuple<int, int>(5, 5));
yellowPairs.Add(new Tuple<int, int>(6, 2));
yellowPairs.Add(new Tuple<int, int>(7, 6));
yellowPairs.Add(new Tuple<int, int>(7, 7));
*/
//PURPLE
/*
* 1,0 1,4 1,6
* 2,0
* 4,2 4,6
* 7,0 7,2
*/
/*
List<Tuple<int, int>> purplePairs = new List<Tuple<int, int>>();
purplePairs.Add(new Tuple<int, int>(1, 0));
purplePairs.Add(new Tuple<int, int>(1, 4));
purplePairs.Add(new Tuple<int, int>(1, 6));
purplePairs.Add(new Tuple<int, int>(2,0));
purplePairs.Add(new Tuple<int, int>(4, 2));
purplePairs.Add(new Tuple<int, int>(4, 6));
purplePairs.Add(new Tuple<int, int>(7, 0));
purplePairs.Add(new Tuple<int, int>(7, 2));
*/
//WHITE
/*
* 0,1
* 2,2
* 3,3 3,4
* 6,1 6,3
* 7,4
*/
/*
List<Tuple<int, int>> whitePairs = new List<Tuple<int, int>>();
whitePairs.Add(new Tuple<int, int>(0, 1));
whitePairs.Add(new Tuple<int, int>(2, 2));
whitePairs.Add(new Tuple<int, int>(3, 3));
whitePairs.Add(new Tuple<int, int>(3, 4));
whitePairs.Add(new Tuple<int, int>(6, 1));
whitePairs.Add(new Tuple<int, int>(6, 3));
whitePairs.Add(new Tuple<int, int>(7, 4));
*/
//ORANGE
/*
* 0,4
* 2,5
* 3,0 3,7
* 4,1 4,3 4,4
* 5,1 5,4
* 6,0
*/
/*
List<Tuple<int, int>> orangePairs = new List<Tuple<int, int>>();
orangePairs.Add(new Tuple<int, int>(0, 4));
orangePairs.Add(new Tuple<int, int>(2, 5));
orangePairs.Add(new Tuple<int, int>(3, 0));
orangePairs.Add(new Tuple<int, int>(3, 7));
orangePairs.Add(new Tuple<int, int>(4, 1));
orangePairs.Add(new Tuple<int, int>(4, 3));
orangePairs.Add(new Tuple<int, int>(4, 4));
orangePairs.Add(new Tuple<int, int>(5, 1));
orangePairs.Add(new Tuple<int, int>(5, 4));
orangePairs.Add(new Tuple<int, int>(6, 0));
double rMean = 0;
double gMean = 0;
double bMean = 0;
foreach (Tuple<int, int> pair in purplePairs)
{
rMean += pieceColors[pair.Item1,pair.Item2].R;
gMean += pieceColors[pair.Item1, pair.Item2].G;
bMean += pieceColors[pair.Item1, pair.Item2].B;
}
rMean = rMean / purplePairs.Count;
gMean = gMean / purplePairs.Count;
bMean = bMean / purplePairs.Count;
listGemColorStats.Clear();
listGemColorStats.Add(Color.Blue, Color.FromArgb( rMean, gMean, bMean });
*/
}
/// <summary>
/// Frame processing
/// Color check algorithm
/// </summary>
/// <param name="sender">Event source</param>
/// <param name="image">Frame to process</param>
private void viewCam_NewFrame_ColorCheck(object sender, ref Bitmap image)
{
lock (this)
{
ImageStatistics statistics = new ImageStatistics(ObjectExtractorDialog.Value);
BitmapData data = image.LockBits(new Rectangle(0, 0, image.Width, image.Height),
ImageLockMode.ReadOnly, image.PixelFormat);
UnmanagedImage uImage = new UnmanagedImage(data);
// unlock image
image.UnlockBits(data);
// process
Rectangle rect = ObjectDetector.TemplateColorTracking(statistics, ref uImage);
Target.X = rect.X;
Target.Y = rect.Y;
Target.Width = rect.Width;
Target.Lost = ((rect.Width < 10) || (rect.Width > 600));
if (!rect.IsEmpty)
{
// draw rectangle around derected object
Graphics g = Graphics.FromImage(image);
using (Pen pen = new Pen(Color.Red, 4))
{
g.DrawRectangle(pen, rect);
}
g.Dispose();
}
}
}
private void Run_Click(object sender, EventArgs e)
{
VideoFileReader reader = new VideoFileReader();
// open video file
reader.Open(textBox1.Text);
// check some of its attributes
//Console.WriteLine("width: " + reader.Width);
//Console.WriteLine("height: " + reader.Height);
//Console.WriteLine("fps: " + reader.FrameRate);
//Console.WriteLine("codec: " + reader.CodecName);
int[][] frameRGB = new int[reader.FrameCount][];
// read 100 video frames out of it
for (int i = 0; i < reader.FrameCount; i++)
{
//int disRed = 0;
//int disGreen = 0;
//int disBlue = 0;
Bitmap videoFrame = reader.ReadVideoFrame();
// process the frame somehow
ImageStatistics rgbStatistics = new ImageStatistics(videoFrame);
int[] redValues = rgbStatistics.Red.Values;
int[] greenValues = rgbStatistics.Green.Values;
int[] blueValues = rgbStatistics.Blue.Values;
int[] his = new int[256];
for (int j = 0; j < 256; j++)
{
his[j] = (redValues[j] + greenValues[j] + blueValues[j]) / 3;
}
frameRGB[i] = his;
//Bitmap videoFrame2 = reader.ReadVideoFrame();
//// process the frame somehow
//ImageStatistics rgbStatistics2 = new ImageStatistics(videoFrame2);
//int[] redValues2 = rgbStatistics2.Red.Values;
//int[] greenValues2 = rgbStatistics2.Green.Values;
//int[] blueValues2 = rgbStatistics2.Blue.Values;
//for (int j = 0; j < 256; j++)
//{
// disRed = disRed + Math.Abs(redValues[j] - redValues2[j]);
// disGreen = disGreen + Math.Abs(greenValues[j] - greenValues2[j]);
// disBlue = disBlue + Math.Abs(blueValues[j] - blueValues2[j]);
//}
//int sumdis = disRed + disGreen + disBlue;
//สร้างตัวแปรเก็บr+G+B เอาไว้หาค่าthredshold;กำหนดเอง
// dispose the frame when it is no longer required
videoFrame.Dispose();
}
reader.Close();
Sdis = new int[frameRGB.Length - 1];
for (int g = 0; g < frameRGB.Length - 1; g++)
{
int dis = 0;
for (int k = 0; k < 256; k++)
{
dis += Math.Abs(frameRGB[g][k] - frameRGB[g + 1][k]);
}
Sdis[g] = dis;
}
this.chart1.Titles.Add("Distance");
Series series = this.chart1.Series.Add("Distance");
for (int ss = 0; ss < frameRGB.Length - 1; ss++)
{
series.Points.AddXY(ss, Sdis[ss]);
}
}
public virtual void GetLiveImage()
{
if (_operInProgress)
{
// Log.Error("OperInProgress");
return;
}
if (DelayedStart)
{
//Log.Error("Start is delayed");
return;
}
if (FreezeImage)
return;
_operInProgress = true;
_totalframes++;
if ((DateTime.Now - _framestart).TotalSeconds > 0)
Fps = (int)(_totalframes / (DateTime.Now - _framestart).TotalSeconds);
try
{
LiveViewData = LiveViewManager.GetLiveViewImage(CameraDevice);
}
catch (Exception ex)
{
Log.Error("Error geting lv", ex);
_operInProgress = false;
return;
}
if (LiveViewData == null)
{
_operInProgress = false;
return;
}
if (!LiveViewData.IsLiveViewRunning && !IsFocusStackingRunning)
{
DelayedStart = true;
_restartTimerStartTime = DateTime.Now;
_restartTimer.Start();
_operInProgress = false;
return;
}
if (LiveViewData.ImageData == null)
{
// Log.Error("LV image data is null !");
_operInProgress = false;
return;
}
Recording = LiveViewData.MovieIsRecording;
try
{
if (LiveViewData != null && LiveViewData.ImageData != null)
{
MemoryStream stream = new MemoryStream(LiveViewData.ImageData,
LiveViewData.
ImageDataPosition,
LiveViewData.ImageData.
Length -
LiveViewData.
ImageDataPosition);
LevelAngle = (int)LiveViewData.LevelAngleRolling;
SoundL = LiveViewData.SoundL;
SoundR = LiveViewData.SoundR;
PeakSoundL = LiveViewData.PeakSoundL;
PeakSoundR = LiveViewData.PeakSoundR;
HaveSoundData = LiveViewData.HaveSoundData;
MovieTimeRemain = decimal.Round(LiveViewData.MovieTimeRemain, 2);
if (NoProcessing)
{
BitmapImage bi = new BitmapImage();
bi.BeginInit();
bi.CacheOption = BitmapCacheOption.OnLoad;
bi.StreamSource = stream;
bi.EndInit();
bi.Freeze();
Bitmap = bi;
ServiceProvider.DeviceManager.LiveViewImage[CameraDevice] = stream.ToArray();
_operInProgress = false;
return;
}
using (var res = new Bitmap(stream))
{
Bitmap bmp = res;
if (PreviewTime > 0 && (DateTime.Now - _photoCapturedTime).TotalSeconds <= PreviewTime)
{
var bitmap = ServiceProvider.Settings.SelectedBitmap.DisplayImage.Clone();
//var dw = (double)bmp.Width / bitmap.PixelWidth;
//bitmap = bitmap.Resize((int)(bitmap.PixelWidth * dw), (int)(bitmap.PixelHeight * dw),
// WriteableBitmapExtensions.Interpolation.NearestNeighbor);
// flip image only if the prview not fliped
if (FlipImage && !ServiceProvider.Settings.FlipPreview)
bitmap = bitmap.Flip(WriteableBitmapExtensions.FlipMode.Vertical);
bitmap.Freeze();
ServiceProvider.DeviceManager.LiveViewImage[CameraDevice] = SaveJpeg(bitmap);
Bitmap = bitmap;
return;
}
if (DetectMotion)
{
ProcessMotionDetection(bmp);
}
if (_totalframes % DesiredFrameRate == 0 && ShowHistogram)
{
ImageStatisticsHSL hslStatistics =
new ImageStatisticsHSL(bmp);
LuminanceHistogramPoints =
ConvertToPointCollection(
hslStatistics.Luminance.Values);
ImageStatistics statistics = new ImageStatistics(bmp);
RedColorHistogramPoints = ConvertToPointCollection(
statistics.Red.Values);
GreenColorHistogramPoints = ConvertToPointCollection(
statistics.Green.Values);
BlueColorHistogramPoints = ConvertToPointCollection(
statistics.Blue.Values);
}
if (HighlightUnderExp)
{
ColorFiltering filtering = new ColorFiltering();
filtering.Blue = new IntRange(0, 5);
filtering.Red = new IntRange(0, 5);
filtering.Green = new IntRange(0, 5);
filtering.FillOutsideRange = false;
filtering.FillColor = new RGB(Color.Blue);
filtering.ApplyInPlace(bmp);
}
if (HighlightOverExp)
{
ColorFiltering filtering = new ColorFiltering();
filtering.Blue = new IntRange(250, 255);
filtering.Red = new IntRange(250, 255);
filtering.Green = new IntRange(250, 255);
filtering.FillOutsideRange = false;
filtering.FillColor = new RGB(Color.Red);
filtering.ApplyInPlace(bmp);
}
var preview = BitmapFactory.ConvertToPbgra32Format(
BitmapSourceConvert.ToBitmapSource(bmp));
DrawFocusPoint(preview, true);
if (Brightness != 0)
{
BrightnessCorrection filter = new BrightnessCorrection(Brightness);
bmp = filter.Apply(bmp);
}
Bitmap newbmp = bmp;
if (EdgeDetection)
{
var filter = new FiltersSequence(
Grayscale.CommonAlgorithms.BT709,
new HomogenityEdgeDetector()
);
newbmp = filter.Apply(bmp);
}
WriteableBitmap writeableBitmap;
if (BlackAndWhite)
{
Grayscale filter = new Grayscale(0.299, 0.587, 0.114);
writeableBitmap =
BitmapFactory.ConvertToPbgra32Format(
BitmapSourceConvert.ToBitmapSource(
filter.Apply(newbmp)));
}
else
{
writeableBitmap =
BitmapFactory.ConvertToPbgra32Format(
BitmapSourceConvert.ToBitmapSource(newbmp));
}
DrawGrid(writeableBitmap);
switch (RotationIndex)
{
case 0:
Rotation = 0;
break;
case 1:
Rotation = 90;
break;
case 2:
Rotation = 180;
break;
case 3:
Rotation = 270;
break;
case 4:
Rotation = LiveViewData.Rotation;
break;
}
if (CameraDevice.LiveViewImageZoomRatio.Value == "All")
{
preview.Freeze();
Preview = preview;
if (ShowFocusRect)
DrawFocusPoint(writeableBitmap);
}
if (FlipImage)
{
writeableBitmap = writeableBitmap.Flip(WriteableBitmapExtensions.FlipMode.Vertical);
}
if (CropRatio > 0)
{
CropOffsetX = (int) ((writeableBitmap.PixelWidth/2.0)*CropRatio/100);
CropOffsetY = (int) ((writeableBitmap.PixelHeight/2.0)*CropRatio/100);
writeableBitmap = writeableBitmap.Crop(CropOffsetX, CropOffsetY,
writeableBitmap.PixelWidth - (2*CropOffsetX),
writeableBitmap.PixelHeight - (2*CropOffsetY));
}
writeableBitmap.Freeze();
Bitmap = writeableBitmap;
//if (_totalframes%DesiredWebFrameRate == 0)
ServiceProvider.DeviceManager.LiveViewImage[CameraDevice] = SaveJpeg(writeableBitmap);
}
stream.Close();
}
}
catch (Exception exception)
{
Log.Error(exception);
_operInProgress = false;
}
finally
{
_operInProgress = false;
}
_operInProgress = false;
}
private void GetAdditionalData(object o)
{
BitmapFile file = o as BitmapFile;
try
{
if (!file.FileItem.IsRaw)
{
using (Bitmap bmp = new Bitmap(file.FileItem.FileName))
{
// Luminance
ImageStatisticsHSL hslStatistics = new ImageStatisticsHSL(bmp);
file.LuminanceHistogramPoints = ConvertToPointCollection(hslStatistics.Luminance.Values);
// RGB
ImageStatistics rgbStatistics = new ImageStatistics(bmp);
file.RedColorHistogramPoints = ConvertToPointCollection(rgbStatistics.Red.Values);
file.GreenColorHistogramPoints = ConvertToPointCollection(rgbStatistics.Green.Values);
file.BlueColorHistogramPoints = ConvertToPointCollection(rgbStatistics.Blue.Values);
}
}
}
catch (Exception ex)
{
Log.Error(ex);
}
}
void videoSource_NewFrame(object sender, NewFrameEventArgs eventArgs)
{
var frame = eventArgs.Frame;
if (isTesting)
{
var r = new ColorFiltering(new IntRange(250, 255), new IntRange(250, 255), new IntRange(250, 255));
var r1 = r.Apply(frame);
ImageStatistics is0 = new ImageStatistics(r1);
int no = is0.PixelsCountWithoutBlack;
Console.WriteLine(no);
m_pictureBox.Image = r1;
return;
}
var cf1 = new ColorFiltering(new IntRange(250, 255), new IntRange(250, 255), new IntRange(250, 255));
var fi1 = cf1.Apply(frame);
ImageStatistics imageStatistics = new ImageStatistics(fi1);
int numOn = imageStatistics.PixelsCountWithoutBlack;
if (numOn > 10)
{
rawtext += "O";
}
else
{
rawtext += "-";
}
var ar = GetLetters(GuessMorseCode(rawtext)).ToArray();
if (ar.Length != 0)
{
decodedMessage += ar[0];
if (previousDecodedMessageLength != decodedMessage.Length)
{
foreach (var c in decodedMessage)
{
Console.Write(c);
}
Console.WriteLine();
previousDecodedMessageLength = decodedMessage.Length;
}
rawtext = string.Empty;
}
}
private void CorrectLevels()
{
ImageStatistics ims = new ImageStatistics(_recogimg);
Histogram gr = ims.Gray;
double median = gr.Median;
double mean = gr.Mean;
double stdev = gr.StdDev;
//30 170 10
//for (int i = 30; i < 170; i += 10)
//{
// this.CorrectLevel(i, (int)mean);
// ims = new ImageStatistics(_recogimg);
// gr = ims.Gray;
// stdev = gr.StdDev;
// mean = gr.Mean;
// if (stdev >= 65 & mean >= 220) { break; }
//}
BradleyLocalThresholding filter = new BradleyLocalThresholding();
// apply the filter
filter.ApplyInPlace(_recogimg);
}
// Gather image statistics
public void GatherStatistics( Bitmap image )
{
// avoid calculation in the case of the same image
if ( image != null )
{
if ( currentImageHash == image.GetHashCode( ) )
return;
currentImageHash = image.GetHashCode( );
}
if ( image != null )
System.Diagnostics.Debug.WriteLine( "=== Gathering histogram" );
// busy
Capture = true;
Cursor = Cursors.WaitCursor;
// get statistics
stat = ( image == null ) ? null : new ImageStatistics( image );
// free
Cursor = Cursors.Arrow;
Capture = false;
// clean combo
channelCombo.Items.Clear( );
channelCombo.Enabled = false;
if ( stat != null )
{
if ( !stat.IsGrayscale )
{
// RGB picture
channelCombo.Items.AddRange( new object[] { "Red", "Green", "Blue" } );
channelCombo.Enabled = true;
}
else
{
// grayscale picture
channelCombo.Items.Add( "Gray" );
}
channelCombo.SelectedIndex = 0;
}
else
{
histogram.Values = null;
meanLabel.Text = String.Empty;
stdDevLabel.Text = String.Empty;
medianLabel.Text = String.Empty;
minLabel.Text = String.Empty;
maxLabel.Text = String.Empty;
levelLabel.Text = String.Empty;
countLabel.Text = String.Empty;
percentileLabel.Text = String.Empty;
}
}
/// <summary>
/// Accept selection
/// </summary>
/// <param name="sender">Event source</param>
/// <param name="e">Event arguments</param>
private void btnOK_Click(object sender, RoutedEventArgs e)
{
if (Target != Rectangle.Empty)
{
Value = Source.Clone(Target, Source.PixelFormat);
Statistics = new ImageStatistics(Value);
DialogResult = true;
Close();
}
}
public Histogram(Bitmap b)
{
this.bitmap = b;
statistics = new AforgeImg.ImageStatistics(this.bitmap);
hslStatistics = new AforgeImg.ImageStatisticsHSL(this.bitmap);
}
public Histogram DigitHistogram()
{
Grayscale grayScaler = new Grayscale(0.2125, 0.7154, 0.0721);
ImageStatistics stat = new ImageStatistics(grayScaler.Apply(new Bitmap(_digit)));
return stat.Gray;
}
private void timer1_Tick(object sender, EventArgs e)
{
IVideoSource videoSource1 = videoSourcePlayer1.VideoSource;
Bitmap currentVideoFrame = videoSourcePlayer1.GetCurrentVideoFrame();
pictureBox1.Image = currentVideoFrame;
if (currentVideoFrame != null)
{
Crop filter1 = new Crop(new Rectangle(1, 1, 319, 479));
Crop filter2 = new Crop(new Rectangle(321, 1, 639, 479));
Bitmap leftimage = filter1.Apply(currentVideoFrame);
Bitmap rightimage = filter2.Apply(currentVideoFrame);
// get grayscale image
IFilter grayscaleFilter = new GrayscaleRMY();
leftimage = grayscaleFilter.Apply(leftimage);
rightimage = grayscaleFilter.Apply(rightimage);
// apply threshold filter
Threshold th = new Threshold(trackBar1.Value);
Bitmap filteredImage1 = th.Apply(leftimage);
pictureBox2.Image = filteredImage1;
Bitmap filteredImage2 = th.Apply(rightimage);
pictureBox3.Image = filteredImage2;
label6.Text = trackBar1.Value.ToString();
ImageStatistics lftstat = new ImageStatistics(filteredImage1);
int lftpxlcntwthoutblck = lftstat.PixelsCountWithoutBlack;
ImageStatistics rghtstat = new ImageStatistics(filteredImage2);
int rghtpxlcntwthoutblck = rghtstat.PixelsCountWithoutBlack;
int val = trackBar1.Value;
if (((lftpxlcntwthoutblck - rghtpxlcntwthoutblck) > val) || ((rghtpxlcntwthoutblck - lftpxlcntwthoutblck) > val))
{
if ((lftpxlcntwthoutblck-rghtpxlcntwthoutblck) >val)
{
//label4.Text = "left";
label4.Text = "right";
}
if ((rghtpxlcntwthoutblck-lftpxlcntwthoutblck) >val)
{
//label4.Text = "right";
label4.Text = "left";
}
}
else if ((lftpxlcntwthoutblck == 0) && (rghtpxlcntwthoutblck == 0))
{
label4.Text = "Stop!! No space ahead";
}
else {
label4.Text = "Forward";
}
}
}