public Filters()
{
InitializeComponent();
this.imageFilters = new ImageFilters();
if (FilterSettings.war3IconType == War3IconType.None)
{
radioBtnNone.Checked = true;
}
if (FilterSettings.war3IconType == War3IconType.ClassicIcon)
{
radioBtnClassic.Checked = true;
}
if (FilterSettings.war3IconType == War3IconType.ReforgedIcon)
{
radioBtnReforged.Checked = true;
}
checkBoxButton.Checked = FilterSettings.isIconBTN;
checkBoxPassive.Checked = FilterSettings.isIconPAS;
checkBoxAutocast.Checked = FilterSettings.isIconATC;
checkBoxDisabled.Checked = FilterSettings.isIconDISBTN;
checkBoxResize.Checked = FilterSettings.isResized;
upDownSizeX.Text = FilterSettings.resizeX.ToString();
upDownSizeY.Text = FilterSettings.resizeY.ToString();
}
public void ApplyFilter_InvalidArguments_ReturnsArgumentException()
{
// Arrange
var sourceBitmap = Properties.Resources.unitTestPropImage1;
// Act
var resultBitmap = ImageFilters.ApplyFilter(sourceBitmap, -1, -1, -1, -1);
}
static void Main(string[] args)
{
// Create ByteScout.ImageFilters.ImageFilters object instance.
ImageFilters imageFilters = new ImageFilters();
// Load document.
imageFilters.LoadDocument(@".\fax.tif");
// APPLY FILTERS:
// Fix orientation of rotated and flipped pages by analyzing text orientation.
imageFilters.FixRotation();
// Unrotate skewed pages.
imageFilters.Deskew();
// Remove speckles and noise.
imageFilters.RemoveNoise();
// Remove lines. This can improve the quality of optical character recognition (OCR).
imageFilters.RemoveHorizontalLines();
imageFilters.RemoveVerticalLines();
// You can get a preview image after each modification to display to a user.
Image previewImage = imageFilters.GetPreview();
// Save improved image.
imageFilters.SaveDocument(@".\fax.png");
// Cleanup.
imageFilters.Dispose();
}
public void FilterTestBlackAndWhite()
{
//load the original bitmap
bitmapOriginal = ImageUtils.loadOriginalPicture();
//apply Image Filter filter
Bitmap bitmapOriginalWithImageFilters = ImageFilters.BlackWhite(bitmapOriginal);
//apply manually filter on the bitmap expected
Bitmap bitmapExpected = bitmapOriginal;
int rgb;
Color c;
for (int y = 0; y < bitmapExpected.Height; y++)
{
for (int x = 0; x < bitmapExpected.Width; x++)
{
c = bitmapExpected.GetPixel(x, y);
rgb = (int)((c.R + c.G + c.B) / 3);
bitmapExpected.SetPixel(x, y, Color.FromArgb(rgb, rgb, rgb));
}
}
//check if the pixel of the two images are the same
bool result = ImageUtils.comparePixelImages(bitmapOriginalWithImageFilters, bitmapExpected);
Assert.IsTrue(result);
}
public static Bitmap RecognizeDocumentInImage(Bitmap originalBmp)
{
var grayscale = new GrayscaleImage(originalBmp);
var compressionBmp = BitmapProcessing.ImageCompression(originalBmp);
var processedImage = ImageFilters.ImageFiltering(compressionBmp);
var resultSearch = SearchSingularPoints.SerchSPForImage(originalBmp, compressionBmp, processedImage);
var spPoints = resultSearch.Item1;
var equations = resultSearch.Item2;
BitmapProcessing.SelectBackground(grayscale, equations);
var widthAndHeight = MakeWidthAndHeightDocument(spPoints);
var documentWidth = widthAndHeight.Item1;
var documentHeight = widthAndHeight.Item2;
var anglePoints = MakeAnglePoints(documentWidth, documentHeight, spPoints);
var H = GetMatrixHomography(spPoints, anglePoints);
var inverseH = H.Inverse();
var correctImage = ImageCorrection(inverseH, grayscale);
var correctSpPoints = TransformPoints(inverseH, spPoints);
var correctEquations = MakeEquationsLines(correctSpPoints);
var angle = correctEquations[2].AngleDeviationOX();
correctImage = BitmapProcessing.RotateGrayscaleImage(correctImage, angle);
var document = ImageCutter.CutDocument(correctImage);
return(BitmapProcessing.MakeBitmap(document.Width, document.Height, document.Colors));
//return BitmapProcessing.MakeBitmap(correctImage.Width, correctImage.Height, correctImage.Colors);
}
public void RainbowFilter_ArgumentIsNull_ReturnsNullReferenceException()
{
// Arrange
Bitmap sourceBitmap = new Bitmap(100, 100);
sourceBitmap = null;
// Act
var resultBitmap = ImageFilters.RainbowFilter(sourceBitmap);
}
public void extensionTest()
{
Bitmap imageFiltreeTest = ImageFilters.BlackWhite(imageInitiale);
String extensionImageInitiale = Path.GetExtension(imageInitiale.ToString());
String extensionImageFiltree = Path.GetExtension(imageFiltreeTest.ToString());
Assert.AreEqual(extensionImageInitiale, extensionImageFiltree);
}
public void TestCrazyFilter()
{
Bitmap temp = new Bitmap(ResourceTestImages.original_for_filters);
Bitmap expectedResult = new Bitmap(ResourceTestImages.crazy_filter);
temp = ImageFilters.ApplyFilterSwapDivide(new Bitmap(temp), 1, 1, 2, 1);
Bitmap actualResult = ImageFilters.ApplyFilterSwap(new Bitmap(temp));
Assert.IsTrue(UtilImageComparison.CompareImageTheSame(actualResult, expectedResult, 0.02), "The images did not match.");
}
public void pixelIntegrityTest()
{
Bitmap imageFiltree = ImageFilters.BlackWhite(imageInitiale);
for (int x = 0; x < imageFiltree.Height; x++)
{
for (int y = 0; y < imageFiltree.Width; y++)
{
Assert.AreEqual(imageInitiale.GetPixel(y, x), imageFiltree.GetPixel(y, x));
}
}
}
public void ValidFilter()
{
Color origine = Color.FromArgb(100, 140, 200, 60);
Color wanted = Color.FromArgb(100, 70, 50, 60);
Bitmap imageBase = getImage(origine);
Bitmap filtred = ImageFilters.ApplyFilter(imageBase, 1, 2, 1, 4);
for (int with = 0; with < filtred.Width; with++)
{
for (int height = 0; height < filtred.Height; height++)
{
Assert.AreEqual(filtred.GetPixel(with, height), wanted);
}
}
}
public void colorPixelTest()
{
Bitmap imageFiltreeTest = ImageFilters.BlackWhite(imageInitiale);
for (int i = 0; i < imageFiltreeTest.Width; i++)
{
for (int j = 0; j < imageFiltreeTest.Height; j++)
{
Color couleurPixelSouhaite = imageFiltreeBlackWhite.GetPixel(i, j);
Color couleurPixelTest = imageFiltreeTest.GetPixel(i, j);
Assert.AreEqual(couleurPixelSouhaite, couleurPixelTest);
}
}
}
public void SepiaTest()
{
foreach (var a in Enumerable.Range(0, 256))
{
foreach (var r in Enumerable.Range(0, 256))
{
foreach (var g in Enumerable.Range(0, 256))
{
foreach (var b in Enumerable.Range(0, 256))
{
var t = Color.FromArgb(a, r, g, b);
Assert.AreEqual(ImageFilters.SepiaFilter((uint)t.ToArgb()), SepiaFilter(t).ToArgb());
}
}
}
}
}
public void BlackWhiteTest()
{
// Custom image used for test
Bitmap TestImg = new Bitmap(100, 100);
// Method result for comparison
Bitmap Result;
for (int y = 0; y < TestImg.Height; y++)
{
for (int x = 0; x < TestImg.Width; x++)
{
TestImg.SetPixel(x, y, Color.FromArgb(120, 90, 150));
}
}
Result = ImageFilters.BlackWhite(TestImg);
Assert.IsTrue(IsPixelColorEqual(Result));
}
private void Input_DoubleClick(object sender, EventArgs e)
{
if (calibrateUiState != CalibrateUIState.DetectBoard && calibrateUiState != CalibrateUIState.DetectTiles)
{
return;
}
MouseEventArgs args = e as MouseEventArgs;
Bitmap scaledImage = new Bitmap(Input.ClientSize.Width, Input.ClientSize.Height);
Input.DrawToBitmap(scaledImage, Input.ClientRectangle);
var sample = ImageFilters.SampleHSBAverage(scaledImage, args.X, args.Y);
hueVal.Value = sample.Hue;
satVal.Value = sample.Saturation;
briVal.Value = sample.Brightness;
// board calibration
if (modeCombo.SelectedIndex == 0)
{
hueTol.Value = 10;
satTol.Value = 0.2m;
briTol.Value = 0.2m;
UpdateBoardCheck.Checked = true;
}
// tiles calibration
if (modeCombo.SelectedIndex == 1)
{
// offset as tile hue is too close to triple word score
hueVal.Value += 10;
hueTol.Value = 30;
satTol.Value = 1m;
briTol.Value = 1m;
UpdateBoardCheck.Checked = false;
}
updateDetector();
}
/// <summary>
/// Applies a filter to the image.
/// </summary>
/// <param name="imageFilters">The filter to apply to the image.</param>
/// <returns>The resulting image.</returns>
public Image ApplyFilter(ImageFilters imageFilters)
{
_editor.Load(_tempImage);
IMatrixFilter filter;
switch (imageFilters)
{
case ImageFilters.BlackWhite:
filter = MatrixFilters.BlackWhite;
break;
case ImageFilters.Comic:
filter = MatrixFilters.Comic;
break;
case ImageFilters.Gotham:
filter = MatrixFilters.Gotham;
break;
case ImageFilters.Invert:
filter = MatrixFilters.Invert;
break;
case ImageFilters.Polaroid:
filter = MatrixFilters.Polaroid;
break;
case ImageFilters.Sepia:
filter = MatrixFilters.Sepia;
break;
default:
throw new ArgumentOutOfRangeException(nameof(imageFilters), imageFilters, null);
}
_editor.Filter(filter);
return(_editor.Image);
}
public void ThresholdTest()
{
foreach (var lvl in Enumerable.Range(1, 101).Select(i => (byte)i))
{
foreach (var a in Enumerable.Range(0, 256))
{
foreach (var r in Enumerable.Range(0, 256))
{
foreach (var g in Enumerable.Range(0, 256))
{
foreach (var b in Enumerable.Range(0, 256))
{
var t = Color.FromArgb(a, r, g, b);
Assert.AreEqual(ImageFilters.ThresholdFilter((uint)t.ToArgb(), (byte)(255 * lvl / 100)),
ThresholdFilter(t, lvl).ToArgb());
}
}
}
}
}
}
public async Task <IHttpActionResult> Filter(string flt, string crd)
{
var tracer = Request.GetConfiguration().Services.GetTraceWriter();
if (!Request.TryToBitmap(out var img) || img.PixelFormat != PixelFormat.Format32bppArgb ||
img.Width > 1000 || img.Height > 1000)
{
tracer.Info(Request, ControllerContext.ControllerDescriptor.ControllerType.FullName, "Incorrect PNG");
return(BadRequest());
}
var rect = (Rectangle)(new RectangleConverter().ConvertFromInvariantString(crd) ?? Rectangle.Empty);
rect = Rectangle.Intersect(rect.Normalise(), new Rectangle(0, 0, img.Width, img.Height));
if (rect.IsEmpty || rect.Width == 0 || rect.Height == 0)
{
tracer.Info(Request, ControllerContext.ControllerDescriptor.ControllerType.FullName, "Empty rectangle");
return(StatusCode(HttpStatusCode.NoContent));
}
tracer.Info(Request, ControllerContext.ControllerDescriptor.ControllerType.FullName, "Filter begin");
img = img.Clone(rect, img.PixelFormat);
rect.X = 0;
rect.Y = 0;
var bytes = rect.Width * rect.Height;
var argbValues = img.ToArray(rect);
var filter = ImageFilters.FromString(flt, out var byteLevel);
for (var i = 0; i < bytes; i++)
{
argbValues[i] = filter((uint)argbValues[i], byteLevel);
}
tracer.Info(Request, ControllerContext.ControllerDescriptor.ControllerType.FullName, "Filter end");
return(await Task.FromResult(new OkResult(argbValues.ToBitmap(rect.Width, rect.Height))));
}
public static Image <Rgba32> SetFilter(Image <Rgba32> source, ImageFilters imageFilters)
{
var image = source.Clone();
var w = image.Width;
var h = image.Height;
for (int x = 0; x < w; x++)
{
for (int y = 0; y < h; y++)
{
var p = image[x, y];
if (imageFilters == ImageFilters.Red)
{
p.B = 0;
p.G = 0;
}
else if (imageFilters == ImageFilters.Green)
{
p.R = 0;
p.B = 0;
}
else if (imageFilters == ImageFilters.Blue)
{
p.R = 0;
p.G = 0;
}
else if (imageFilters == ImageFilters.Gray)
{
var gray = (byte)((0.299 * (double)p.R) + (0.587 * (double)p.G) + (0.114 * (double)p.B));
p.R = gray;
p.G = gray;
p.B = gray;
}
image[x, y] = p;
}
}
return(image);
}
public override Bitmap Apply(Bitmap bitmap)
{
return(ImageFilters.ApplyFilterSwapDivide(new Bitmap(bitmap), 1, 1, 2, 1));
}
public UnityEngine.Color[] ApplyFilter(UnityEngine.Color[] sourceColors, int width, int height)
{
ImageFilters filters = new ImageFilters();
return filters.PrewittFilter(sourceColors, width, height);
}
public override Bitmap Apply(Bitmap bitmap)
{
Color c = Color.Green;
return(ImageFilters.ApplyFilterMega(new Bitmap(bitmap), 230, 110, c));
}
public void InvalidFilterMinusOne()
{
Bitmap image = getImage(Color.FromArgb(100, 140, 200, 60));
ImageFilters.ApplyFilter(image, -1, -1, -1, -1);
}
public override Bitmap Apply(Bitmap bitmap)
{
return(ImageFilters.ApplyFilter(new Bitmap(bitmap), 1, 10, 1, 1));
}
private bool GetFitInMatrix(ITrackedObjectPsfFit gaussian, ref int matirxSize, float preselectedAperture)
{
rbGuidingStar.Text = "Guiding/Comparison Star";
m_IsBrightEnoughForAutoGuidingStar = false;
if (m_Aperture == null)
{
if (gaussian != null && !double.IsNaN(gaussian.FWHM) && TangraConfig.Settings.Photometry.SignalApertureUnitDefault == TangraConfig.SignalApertureUnit.FWHM)
{
m_Aperture = (float)(gaussian.FWHM * TangraConfig.Settings.Photometry.DefaultSignalAperture);
}
else
{
m_Aperture = (float)(TangraConfig.Settings.Photometry.DefaultSignalAperture);
}
}
else if (
gaussian != null && !double.IsNaN(gaussian.FWHM) && TangraConfig.Settings.Photometry.SignalApertureUnitDefault == TangraConfig.SignalApertureUnit.FWHM &&
m_Aperture < (float)(gaussian.FWHM * TangraConfig.Settings.Photometry.DefaultSignalAperture))
{
m_Aperture = (float)(gaussian.FWHM * TangraConfig.Settings.Photometry.DefaultSignalAperture);
}
nudFitMatrixSize.ValueChanged -= nudFitMatrixSize_ValueChanged;
try
{
uint[,] autoStarsPixels = m_AstroImage.GetMeasurableAreaPixels(m_Center.X, m_Center.Y, 35);
m_AutoStarsInLargerArea = StarFinder.GetStarsInArea(
ref autoStarsPixels,
m_AstroImage.Pixelmap.BitPixCamera,
m_AstroImage.Pixelmap.MaxSignalValue,
m_AstroImage.MedianNoise,
LightCurveReductionContext.Instance.DigitalFilter);
m_ProcessingPixels = ImageFilters.CutArrayEdges(autoStarsPixels, 9);
m_DisplayPixels = m_AstroImage.GetMeasurableAreaDisplayBitmapPixels(m_Center.X, m_Center.Y, 17);
m_AutoStarsInArea = new List <PSFFit>();
foreach (PSFFit autoStar in m_AutoStarsInLargerArea)
{
if (autoStar.XCenter > 9 && autoStar.XCenter < 9 + 17 &&
autoStar.YCenter > 9 && autoStar.YCenter < 9 + 17)
{
// Don't change original star so use a clone
PSFFit clone = autoStar.Clone();
clone.SetNewFieldCenterFrom35PixMatrix(8, 8);
m_AutoStarsInArea.Add(clone);
}
}
int oldMatirxSize = matirxSize;
if (m_AutoStarsInArea.Count == 0)
{
rbGuidingStar.Text = "Guiding/Comparison Star";
// There are no stars that are bright enough. Simply let the user do what they want, but still try to default to a sensible aperture size
MeasurementsHelper measurement = ReduceLightCurveOperation.DoConfiguredMeasurement(m_ProcessingPixels, m_Aperture.Value, m_AstroImage.Pixelmap.BitPixCamera, m_AstroImage.Pixelmap.MaxSignalValue, 3.0, ref matirxSize);
if (measurement.FoundBestPSFFit != null &&
measurement.FoundBestPSFFit.IsSolved &&
measurement.FoundBestPSFFit.Certainty > 0.1)
{
m_X0 = measurement.XCenter;
m_Y0 = measurement.YCenter;
m_FWHM = (float)measurement.FoundBestPSFFit.FWHM;
}
else
{
m_X0 = 8;
m_Y0 = 8;
m_FWHM = 6;
}
m_Gaussian = null;
nudFitMatrixSize.SetNUDValue(11);
}
else if (m_AutoStarsInArea.Count == 1)
{
// There is exactly one good star found. Go and do a fit in a wider area
double bestFindTolerance = 3.0;
for (int i = 0; i < 2; i++)
{
MeasurementsHelper measurement = ReduceLightCurveOperation.DoConfiguredMeasurement(m_ProcessingPixels, m_Aperture.Value, m_AstroImage.Pixelmap.BitPixCamera, m_AstroImage.Pixelmap.MaxSignalValue, bestFindTolerance, ref matirxSize);
if (measurement != null && matirxSize != -1)
{
if (matirxSize < 5)
{
// Do a centroid in the full area, and get another matix centered at the centroid
ImagePixel centroid = new ImagePixel(m_Center.X, m_Center.Y);
m_ProcessingPixels = m_AstroImage.GetMeasurableAreaPixels(centroid);
m_DisplayPixels = m_AstroImage.GetMeasurableAreaDisplayBitmapPixels(centroid);
m_X0 = centroid.X;
m_Y0 = centroid.Y;
m_FWHM = 6;
m_Gaussian = null;
nudFitMatrixSize.SetNUDValue(11);
}
else
{
m_X0 = measurement.XCenter;
m_Y0 = measurement.YCenter;
if (measurement.FoundBestPSFFit != null)
{
m_FWHM = (float)measurement.FoundBestPSFFit.FWHM;
m_Gaussian = measurement.FoundBestPSFFit;
}
else
{
m_FWHM = 6;
m_Gaussian = null;
}
m_ProcessingPixels = measurement.PixelData;
nudFitMatrixSize.SetNUDValue(matirxSize);
}
}
else
{
matirxSize = oldMatirxSize;
return(false);
}
if (m_Gaussian != null)
{
if (IsBrightEnoughtForGuidingStar())
{
rbGuidingStar.Text = "Guiding/Comparison Star";
m_IsBrightEnoughForAutoGuidingStar = true;
}
break;
}
}
}
else if (m_AutoStarsInArea.Count > 1)
{
rbGuidingStar.Text = "Guiding/Comparison Star";
// There are more stars found.
double xBest = m_Gaussian != null
? m_Gaussian.XCenter
: m_IsEdit ? ObjectToAdd.ApertureMatrixX0
: 8.5;
double yBest = m_Gaussian != null
? m_Gaussian.YCenter
: m_IsEdit ? ObjectToAdd.ApertureMatrixY0
: 8.5;
// by default use the one closest to the original location
PSFFit closestFit = m_AutoStarsInArea[0];
double closestDist = double.MaxValue;
foreach (PSFFit star in m_AutoStarsInArea)
{
double dist =
Math.Sqrt((star.XCenter - xBest) * (star.XCenter - xBest) +
(star.YCenter - yBest) * (star.YCenter - yBest));
if (closestDist > dist)
{
closestDist = dist;
closestFit = star;
}
}
m_X0 = (float)closestFit.XCenter;
m_Y0 = (float)closestFit.YCenter;
m_FWHM = (float)closestFit.FWHM;
m_Gaussian = closestFit;
nudFitMatrixSize.SetNUDValue(m_IsEdit ? ObjectToAdd.PsfFitMatrixSize : closestFit.MatrixSize);
}
//if (m_Gaussian == null && gaussian.Certainty > 0.1 && ImagePixel.ComputeDistance(gaussian.X0_Matrix, 8, gaussian.Y0_Matrix, 8) < 3)
//{
// // Id we failed to locate a bright enough autostar, but the default Gaussian is still certain enough and close enought to the center, we present it as a starting point
// m_X0 = (float)gaussian.X0_Matrix;
// m_Y0 = (float)gaussian.Y0_Matrix;
// m_FWHM = (float)gaussian.FWHM;
// m_Gaussian = gaussian;
//}
decimal appVal;
if (float.IsNaN(preselectedAperture))
{
if (float.IsNaN(m_Aperture.Value))
{
appVal = Convert.ToDecimal(TangraConfig.Settings.Photometry.DefaultSignalAperture);
}
else
{
appVal = Convert.ToDecimal(m_Aperture.Value);
if (nudAperture1.Maximum < appVal)
{
nudAperture1.Maximum = appVal + 1;
}
}
}
else
{
appVal = (decimal)preselectedAperture;
}
if ((float)appVal > m_Aperture)
{
m_Aperture = (float)appVal;
}
nudAperture1.SetNUDValue(Math.Round(appVal, 2));
PlotSingleTargetPixels();
PlotGaussian();
return(true);
}
finally
{
nudFitMatrixSize.ValueChanged += nudFitMatrixSize_ValueChanged;
}
}
/*
*
* The pipeline
*
* This big ugly Process method takes a webcam frame and pushes it through the module pipeline
* The module instances each process the frame, updating their own internal state in real-time and in-place
*
* HINDSIGHT: a functional, stateless approach may have been better? (but probably more verbose)
*
* TODO: make this less ugly
*
*/
public void Process(Bitmap frame, bool tileDetectionEnabled, bool pauseRealtime, bool tileRecognitionEnabled,
bool drawOcrResults, bool drawTileRegions, bool drawTileExtractions,
bool placeDetectedTiles, bool drawBoardRegion, bool boardDetectionEnabled)
{
Graphics graphics;
// Flatten lighting if enabled
if (BoardDetector.FlattenLighting)
{
ImageFilters.FlattenLighting(frame);
}
// Board detection if enabled
if (boardDetectionEnabled)
{
BoardDetector.Process(frame);
}
// Board rectification
BoardDetector.Rectify(frame);
// Tile detection
TileDetector.Process(BoardDetector.RectifiedBoard);
// Display the board region overlay if enabled
if (BoardDetector.HasDetected && drawBoardRegion)
{
graphics = Graphics.FromImage(frame);
PointF[] corners = new PointF[4];
var padding = 3;
for (int i = 0; i < 4; i++)
{
var xx = (i == 0 || i == 3) ? -padding : padding;
var yy = (i == 0 || i == 1) ? -padding : padding;
corners[i] = new PointF(BoardDetector.BoardCorners[i].X + xx, BoardDetector.BoardCorners[i].Y + yy);
}
graphics.DrawPolygon(new Pen(Color.Black, 6f), corners);
graphics.DrawPolygon(new Pen(Color.Red, 4f), corners);
graphics.Dispose();
}
// Clear the unplaced previous frame's tile detections
Game.Board.ClearUnplacedCells();
// Get a graphics context for the board image after rectification
graphics = Graphics.FromImage(BoardDetector.RectifiedBoard);
// For every detected tile
foreach (Blob blob in TileDetector.TileBlobs)
{
// Upscale the detected tile region but make it slightly larger
var border = 5;
var br = blob.Rectangle;
var x = Math.Max(0, -border + br.X * TileDetector.Scale);
var y = Math.Max(0, -border + br.Y * TileDetector.Scale);
var width = Math.Min(BoardDetector.RectifiedBoard.Width, border + br.Width * TileDetector.Scale);
var height = Math.Min(BoardDetector.RectifiedBoard.Height, border + br.Height * TileDetector.Scale);
var region = new Rectangle(x, y, width, height);
// Search for tiles if enabled
if (tileDetectionEnabled)
{
try
{
// Get a copy of the rectified board image
Bitmap extract = BoardDetector.RectifiedBoard.Clone(region, PixelFormat.Format24bppRgb);
// Extract the current blob's image
TileDetector.BlobCounter.ExtractBlobsImage(TileDetector.FilteredBoard, blob, false);
Bitmap blobImage = blob.Image.ToManagedImage();
// Resize the blob image
Bitmap rectifiedBlobImage = (new ResizeNearestNeighbor(extract.Width, extract.Height)).Apply(blobImage);
// Apply the tile mask
ImageFilters.Mask(extract, rectifiedBlobImage);
// Perform letter blob extraction (and recognition if enabled)
if (pauseRealtime)
{
TileOcr.Recognise = true;
}
TileOcr.Process(extract);
TileOcr.Recognise = tileRecognitionEnabled;
// For every OCR result (recognised or not)
foreach (OCRResult result in TileOcr.Results)
{
// Get the absolute blob position
var xx = region.X + result.Blob.Rectangle.X;
var yy = region.Y + result.Blob.Rectangle.Y;
// Display OCR result overlay if enabled
if (drawOcrResults || pauseRealtime)
{
graphics.FillRectangle(new SolidBrush(Color.DarkGray), xx, yy, 32, 32);
graphics.DrawString(result.Letter, new Font("Verdana", 20, FontStyle.Bold), new SolidBrush(Color.Black), xx + 1, yy + 1);
graphics.DrawString(result.Letter, new Font("Verdana", 20, FontStyle.Bold), new SolidBrush(Color.White), xx, yy);
}
// Display tile region if enabled
if (drawTileRegions)
{
graphics.DrawRectangle(new Pen(Color.Red, 2),
xx - 5, yy - 5, result.Blob.Rectangle.Width + 10, result.Blob.Rectangle.Height + 10);
}
// Place the tile on to the virtual Scrabble board if required
if (placeDetectedTiles)
{
Game.Board.PlaceTile(Game.CurrentPlayer, result.Letter, xx + 6, yy + 6,
BoardDetector.RectifiedBoard.Width, BoardDetector.RectifiedBoard.Height, result.Blob.Rectangle);
}
// Display the raw tile extractions if enabled
if (drawTileExtractions)
{
graphics.DrawImageUnscaled(result.Image, new Point(xx, yy));
}
}
}
catch
{
// sometimes this may fail :(
}
}
}
graphics.Dispose();
}
internal static List <PotentialStarStruct> GetPeakPixelsInArea(
uint[,] data, out uint[,] lpdData, int bpp, uint maxSignalValue, uint aboveNoiseLevelRequired,
double minDistanceInPixels, bool useLPDFilter, Rectangle excludeArea)
{
if (useLPDFilter)
{
lpdData = ImageFilters.LowPassDifferenceFilter(data, bpp, false);
}
else
{
lpdData = data;
}
int nWidth = lpdData.GetLength(0);
int nHeight = lpdData.GetLength(1);
List <PotentialStarStruct> potentialStars = new List <PotentialStarStruct>();
ExaminePeakPixelCandidate examinePixelCallback =
delegate(int x, int y, uint z)
{
bool tooClose = false;
// Local maximum, test for a star
foreach (PotentialStarStruct prevStar in potentialStars)
{
double dist =
Math.Sqrt((prevStar.X - x) * (prevStar.X - x) +
(prevStar.Y - y) * (prevStar.Y - y));
if (dist <= minDistanceInPixels)
{
tooClose = true;
if (prevStar.Z < z)
{
prevStar.Z = z;
prevStar.X = x;
prevStar.Y = y;
}
break;
}
}
if (!tooClose)
{
potentialStars.Add(new PotentialStarStruct()
{
X = x, Y = y, Z = z
});
}
// An early return if too many peak pixels have been found
return(potentialStars.Count <=
TangraConfig.Settings.Special.
StarFinderMaxNumberOfPotentialStars);
};
if (useLPDFilter)
{
CheckAllPixels(lpdData, nWidth, nHeight, aboveNoiseLevelRequired, excludeArea, examinePixelCallback);
}
else
{
CheckPixelsFromBrightToFaint(lpdData, nWidth, nHeight, bpp, maxSignalValue, aboveNoiseLevelRequired, excludeArea, examinePixelCallback);
}
return(potentialStars);
}
public static void RenderPreview(String filePath)
{
if (imagePreview != null)
{
imagePreview.Dispose();
}
imagePreview = null;
Reader.ReadFile(filePath);
fileSizeString = Reader.GetFileSizeString(filePath);
Bitmap image = Reader.image;
if (image != null)
{
ImageFilters filters = new ImageFilters();
int iconsChecked = 0;
if (FilterSettings.isIconBTN)
{
iconsChecked++;
}
if (FilterSettings.isIconPAS)
{
iconsChecked++;
}
if (FilterSettings.isIconATC)
{
iconsChecked++;
}
if (FilterSettings.isIconDISBTN)
{
iconsChecked++;
}
if (FilterSettings.isIconDISPAS)
{
iconsChecked++;
}
if (FilterSettings.isIconDISATC)
{
iconsChecked++;
}
if (FilterSettings.isIconATT)
{
iconsChecked++;
}
if (FilterSettings.isIconUPG)
{
iconsChecked++;
}
if (iconsChecked == 1)
{
if (FilterSettings.isIconBTN)
{
image = filters.AddIconBorder(image, IconTypes.BTN);
}
if (FilterSettings.isIconPAS)
{
image = filters.AddIconBorder(image, IconTypes.PAS);
}
if (FilterSettings.isIconATC)
{
image = filters.AddIconBorder(image, IconTypes.ATC);
}
if (FilterSettings.isIconDISBTN)
{
image = filters.AddIconBorder(image, IconTypes.DISBTN);
}
if (FilterSettings.isIconDISPAS)
{
image = filters.AddIconBorder(image, IconTypes.DISPAS);
}
if (FilterSettings.isIconDISATC)
{
image = filters.AddIconBorder(image, IconTypes.DISATC);
}
if (FilterSettings.isIconATT)
{
image = filters.AddIconBorder(image, IconTypes.ATT);
}
if (FilterSettings.isIconUPG)
{
image = filters.AddIconBorder(image, IconTypes.UPG);
}
errorMsg = "";
}
else
{
if (FilterSettings.war3IconType == War3IconType.ClassicIcon && iconsChecked > 1 && image.Width == 64 && image.Height == 64)
{
errorMsg = "Cannot display multiple icon filters";
}
else if (FilterSettings.war3IconType == War3IconType.ReforgedIcon && iconsChecked > 1 && image.Width == 256 && image.Height == 256)
{
errorMsg = "Cannot display multiple icon filters";
}
else
{
errorMsg = "";
}
}
if (FilterSettings.isResized)
{
image = ImageFilters.ResizeBitmap(image, FilterSettings.resizeX, FilterSettings.resizeY);
}
}
else
{
errorMsg = Reader.errorMsg;
}
imagePreview = image;
}
public void InvalidFilterzero()
{
Bitmap image = getImage(Color.FromArgb(100, 140, 200, 60));
ImageFilters.ApplyFilter(image, 0, 0, 0, 0);
}
public Matrix Apply(Matrix input)
{
var guassian = ImageFilters.Gaussian(0.6f, 5);
var r = new ImageData(input.Width, input.Height, PixelFormats.Gray8);
var blurred = ImageProcessing.Convolve(input, guassian);
r[0] = ImageProcessing.Scale(blurred, 0, 255);
r.Save <JpegBitmapEncoder>(@"C:\imageprocessing\blurred.jpg");
var gx = ImageProcessing.Convolve(input, new float[, ]
{
{ -1, 0, 1 },
{ -2, 0, 2 },
{ -1, 0, 1 }
});
r[0] = ImageProcessing.Scale(gx, 0, 255);
r.Save <JpegBitmapEncoder>(@"C:\imageprocessing\gx.jpg");
var gy = ImageProcessing.Convolve(input, new float[, ]
{
{ 1, 2, 1 },
{ 0, 0, 0 },
{ -1, -2, -1 }
});
r[0] = ImageProcessing.Scale(gy, 0, 255);
r.Save <JpegBitmapEncoder>(@"C:\imageprocessing\gy.jpg");
var gradient = Matrix.Sqrt(Matrix.Pow(gx, 2) + Matrix.Pow(gy, 2));
r[0] = ImageProcessing.Scale(gradient, 0, 255);
r.Save <JpegBitmapEncoder>(@"C:\imageprocessing\gradient.jpg");
var angle = new Matrix(input.Width, input.Height);
for (var x = 1; x < gradient.Width - 1; x++)
{
for (var y = 1; y < gradient.Height - 1; y++)
{
var orientation = (float)(Math.Atan2(gy[x, y], gx[x, y]) * 180f / Math.PI);
if (orientation < 0)
{
orientation += 180f;
}
angle[x, y] = orientation;
}
}
r[0] = ImageProcessing.Scale(angle, 0, 255);
r.Save <JpegBitmapEncoder>(@"C:\imageprocessing\angle.jpg");
var result = new Matrix(input.Width, input.Height);
for (var x = 1; x < gradient.Width - 1; x++)
{
for (var y = 1; y < gradient.Height - 1; y++)
{
var orientation = angle[x, y];
var val = gradient[x, y];
// N-S
if (orientation <= 22.5 || orientation >= 157.5)
{
if (gradient[x, y] > gradient[x, y - 1] &&
gradient[x, y] > gradient[x, y + 1])
{
result[x, y] = val;
}
}
// E-W
if (orientation >= 67.5 && orientation <= 112.5)
{
if (gradient[x, y] > gradient[x - 1, y] &&
gradient[x, y] > gradient[x + 1, y])
{
result[x, y] = val;
}
}
// NE-SW
if (orientation >= 22.5 && orientation <= 67.5)
{
if (gradient[x, y] > gradient[x + 1, y - 1] &&
gradient[x, y] > gradient[x - 1, y + 1])
{
result[x, y] = val;
}
}
// SE-NW
if (orientation <= 157.5 && orientation >= 112.5)
{
if (gradient[x, y] > gradient[x - 1, y - 1] &&
gradient[x, y] > gradient[x + 1, y + 1])
{
result[x, y] = val;
}
}
}
}
return(result);
}
public override Bitmap Apply(Bitmap bitmap)
{
return(ImageFilters.ApplyFilterSwap(new Bitmap(bitmap)));
}
public override Bitmap Apply(Bitmap bitmap)
{
return(ImageFilters.RainbowFilter(new Bitmap(bitmap)));
}