public void Resize(string outputPath, int newX_size, int height, string rootDirectoryName = "")
{
Image <Bgr, Byte> img1 = new Emgu.CV.Image <Bgr, Byte>(this.ImagePath);
var oldX = img1.Width;
var oldY = img1.Height;
float ratio = (float)oldX / (float)newX_size;
int newY = (int)Math.Round((double)((float)oldY / (float)ratio));
int newX = (int)Math.Round((double)((float)oldX / (float)ratio));
img1 = img1.Resize(newX, newY, Emgu.CV.CvEnum.Inter.LinearExact);
var delta_w = newX_size - newX;
var delta_h = height - newY;
var top = delta_h / 2;
var bottom = delta_h - top;
var left = delta_w / 2;
var right = delta_w - left;
//img1.Save(@"C:\Users\lkathke\Desktop\EmguTest\resized.jpg");
Mat newImage = new Mat();
CvInvoke.CopyMakeBorder(img1, newImage, top, bottom, left, right, Emgu.CV.CvEnum.BorderType.Constant);
newImage.Save(System.IO.Path.Combine(outputPath, System.IO.Path.GetFileName(this.ImagePath)));
ResizeAnnotations(this.XMLPath, newX_size, height, newX, newY, oldX, oldY, top, left, outputPath, rootDirectoryName);
}
public static void CropAndNormalizeObjects()
{
List <PSM4TxSample> samples = LoadSamples(@"\users\jie\projects\Intel\data\PSM4-Tx\20160722\Original");
for (int i = 0; i < samples.Count; i++)
{
PSM4TxSample sample = samples[i];
Emgu.CV.Image <Gray, byte> image = new Emgu.CV.Image <Gray, byte>(sample.imageFile);
//{ //Aperture
// //Extends in X direction to make width 240 pixels
// double diff_x = APERTURE_ORIGINAL_WIDTH - sample.apertureW;
// //Extends in Y direction to make 2000 pixels
// double diff_y = APERTURE_ORIGINAL_HEIGHT - sample.apertureH;
// Rectangle rect = new Rectangle((int)(sample.apertureX - diff_x / 2 + 0.5), (int)(sample.apertureY - diff_y / 2 + 0.5), APERTURE_ORIGINAL_WIDTH, APERTURE_ORIGINAL_HEIGHT);
// image.ROI = rect;
// Emgu.CV.Image<Gray, byte> normalized = image.Resize(APERTURE_HOG_WIDTH, APERTURE_HOG_HEIGHT, Inter.Linear);
// string cropped_file = sample.imageFile.Replace("original", "Aperture");
// normalized.Save(cropped_file);
//}
//{ //arrayblock
// //Extends in X direction to make width 1200 pixels
// double diff_x = ARRAYBLOCK_ORIGINAL_WIDTH - sample.arrayblockW;
// //Extends in Y direction to make 1600 pixels
// double diff_y = ARRAYBLOCK_ORIGINAL_HEIGHT - sample.arrayblockH;
// Rectangle rect = new Rectangle((int)(sample.arrayblockX - diff_x / 2 + 0.5), (int)(sample.arrayblockY - diff_y / 2 + 0.5), ARRAYBLOCK_ORIGINAL_WIDTH, ARRAYBLOCK_ORIGINAL_HEIGHT);
// image.ROI = rect;
// Emgu.CV.Image<Gray, byte> normalized = image.Resize(ARRAYBLOCK_HOG_WIDTH, ARRAYBLOCK_HOG_HEIGHT, Inter.Linear);
// string cropped_file = sample.imageFile.Replace("original", "Arrayblock");
// normalized.Save(cropped_file);
//}
{ //Isolator
//Extends in X direction to make width 1000 pixels
double diff_x = ISOLATOR_ORIGINAL_WIDTH - sample.isolatorW;
//Extends in Y direction to make 1600 pixels
double diff_y = ISOLATOR_ORIGINAL_HEIGHT - sample.isolatorH;
Rectangle rect = new Rectangle((int)(sample.isolatorX - diff_x / 2 + 0.5), (int)(sample.isolatorY - diff_y / 2 + 0.5), ISOLATOR_ORIGINAL_WIDTH, ISOLATOR_ORIGINAL_HEIGHT);
image.ROI = rect;
Emgu.CV.Image <Gray, byte> normalized = image.Resize(ISOLATOR_HOG_WIDTH, ISOLATOR_HOG_HEIGHT, Inter.Linear);
string cropped_file = sample.imageFile.Replace("original", "Isolator");
normalized.Save(cropped_file);
}
}
}
public MarkerDetetection()
{
Emgu.CV.Image <Emgu.CV.Structure.Bgr, byte> m = new Image <Bgr, byte>("marker2.bmp");
Emgu.CV.Image <Gray, byte> gray = m.Convert <Gray, byte>();
gray = gray.Resize(30, 30, INTER.CV_INTER_LINEAR);
gray._ThresholdBinary(new Gray(50), new Gray(255.0));
_marker = gray;
_marker_size = _marker.Width;
_dest = new PointF[] {
new PointF(0, 0),
new PointF(0, _marker_size),
new PointF(_marker_size, _marker_size),
new PointF(_marker_size, 0)
};
_roi = new Image <Gray, byte>(_marker_size, _marker_size);
_tmp = new Image <Gray, byte>(_marker_size, _marker_size);
}
public static void NegativeIsolatorPatches()
{
List <PSM4TxSample> samples = LoadSamples(@"\users\jie\projects\Intel\data\PSM4-Tx\20160722\Original");
for (int i = 0; i < samples.Count; i++)
{
PSM4TxSample sample = samples[i];
Emgu.CV.Image <Gray, byte> image = new Emgu.CV.Image <Gray, byte>(sample.imageFile);
int image_width = image.Width, image_height = image.Height;
Random rand = new Random();
for (int k = 0; k < 2; k++)
{
int x, y, w = ISOLATOR_ORIGINAL_WIDTH, h = ISOLATOR_ORIGINAL_HEIGHT;
x = rand.Next(0, image_width); y = rand.Next(0, image_height);
if (x + w >= image_width || y + h >= image_height)
{
k--; continue;
}
Rectangle rect = new Rectangle(x, y, w, h);
image.ROI = rect;
Emgu.CV.Image <Gray, byte> neg_image = image.Resize(ISOLATOR_HOG_WIDTH, ISOLATOR_HOG_HEIGHT, Inter.Linear);
string negative_image_file = sample.imageFile.Replace("original", @"IsolatorNegative");
negative_image_file = negative_image_file.Insert(negative_image_file.LastIndexOf('.'), "." + k.ToString());
string folder = Path.GetDirectoryName(negative_image_file);
if (!Directory.Exists(folder))
{
Directory.CreateDirectory(folder);
}
neg_image.Save(negative_image_file);
}
}
}
/// <summary>
/// Find the chessboard corners
/// </summary>
/// <param name="InputImage">Input image commpping from video camera.</param>
/// <param name="OutputImage">Output image comming from image processor.</param>
public static BoardConfiguration FindBoard(Bitmap InputImage, out Bitmap OutputImage)
{
#region Local variables
// Figure Center
Point figureCenter;
// Figure BGR color
Bgr bgrInFigureColor;
// Vector image of figure
CircleF circleFigure;
//
Color colorTransformedColor;
//
double hueChanel;
double saturationChanel;
double valueChanel;
//
Color circleColor;
// Board configuration
BoardConfiguration currentConfiguration = new BoardConfiguration();
#endregion
#region Equalize the image
// Convert a BGR image to HLS range
Emgu.CV.Image <Hls, Byte> imageHsi = new Image <Hls, Byte>(InputImage);
// Equalize the Intensity Channel
imageHsi[1]._EqualizeHist();
imageHsi[2]._EqualizeHist();
// Convert the image back to BGR range
Emgu.CV.Image <Bgr, Byte> DrawingImage = imageHsi.Convert <Bgr, Byte>();
// Geometric orientation image
Emgu.CV.Image <Gray, Byte> BlobImage = imageHsi[1].Convert <Gray, Byte>();
// Create the font.
MCvFont TextFont = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_COMPLEX, 1.5, 1.5);
#endregion
try
{
// Get bord marker points,
MarkersList = Board.GetBoardMarkers(BlobImage.ToBitmap());
// If repers are 4 the proseed to describe the board.
if (MarkersList.Length == MarkersCount)
{
// Set playboard size.
Board.SetSize(BoardSize);
#region Get perspective flat image.
// Get perspective flat image.
Image <Bgr, byte> newImage = SupportMethods.GetPerspectiveFlatImage(DrawingImage, BoardSize, MarkersList);
#endregion
for (int indexFigure = 0; indexFigure < 24; indexFigure++)
{
// Set the figure center
figureCenter = Board.FigurePosition(indexFigure);
//
bgrInFigureColor = Board.GetFigureColor(newImage, Board.GetBoundingBox(figureCenter));
//
colorTransformedColor = Color.FromArgb(255, (byte)bgrInFigureColor.Red, (byte)bgrInFigureColor.Green, (byte)bgrInFigureColor.Blue);
//
SupportMethods.ColorToHSV(colorTransformedColor, out hueChanel, out saturationChanel, out valueChanel);
// Preset the color configuration
valueChanel = 1.0;
saturationChanel = 1.0;
// Find the playr
int figure = FigureColorDefinitions.WhoIsThePlayer((int)hueChanel);
// Fill the board configuration
currentConfiguration.Figure[indexFigure] = figure;
#region Draw
if (!((hueChanel > HueChanelMin) && (hueChanel < HueChanelMax)) && (figure != -1))
{
circleColor = SupportMethods.ColorFromHSV(hueChanel, saturationChanel, valueChanel);
// Create figure to draw.
circleFigure = new CircleF(figureCenter, 10.0f);
// Draw circle
newImage.Draw(circleFigure, new Bgr(circleColor), 5);
// Write text
//
#region Draw label to the processed image.
newImage.Draw(String.Format("{0}", FigureColorDefinitions.WhoIsThePlayer((int)hueChanel)), ref TextFont, figureCenter, new Bgr(0, 0, 0));
//drawingImage.Draw(vectorWithSmallestY, RedColor, 2);
#endregion
}
#endregion
}
// Show unperspective image
//CvInvoke.cvShowImage("Perspective", newImage);
DrawingImage = newImage;
}
}
catch (Exception exception)
{
Console.WriteLine("Exception: {0}", exception.Message);
}
// Apply the output image.
OutputImage = new Bitmap(DrawingImage.Resize(OutputImageWidth, OutputImageHeight, Emgu.CV.CvEnum.INTER.CV_INTER_LINEAR).ToBitmap());
return(currentConfiguration);
}
