Color filtering in HSL color space.
The filter operates in HSL color space and filters pixels, which color is inside/outside of the specified HSL range - it keeps pixels with colors inside/outside of the specified range and fills the rest with
The filter accepts 24 and 32 bpp color images for processing.
Sample usage:
// create filter HSLFiltering filter = new HSLFiltering( ); // set color ranges to keep filter.Hue = new IntRange( 335, 0 ); filter.Saturation = new Range( 0.6f, 1 ); filter.Luminance = new Range( 0.1f, 1 ); // apply the filter filter.ApplyInPlace( image ); Initial image:
Result image:
Sample usage with saturation update only:
// create filter HSLFiltering filter = new HSLFiltering( ); // configure the filter filter.Hue = new IntRange( 340, 20 ); filter.UpdateLuminance = false; filter.UpdateHue = false; // apply the filter filter.ApplyInPlace( image ); Result image:
private Bitmap processImage(Bitmap img)
{
//Generate closing structural element
short[,] structEl = new short[13, 13];
for (int i = 0; i < 13; i++)
for (int j = 0; j < 13; j++)
if ((i - 6) * (i - 6) + (j - 6) * (j - 6) < 64)
structEl[i, j] = 1;
else
structEl[i, j] = -1;
//Initialize filters
HSLFiltering borderFind = new HSLFiltering();
Closing borderClose = new Closing(structEl);
Invert invert = new Invert();
Grayscale grayFilter = new Grayscale(0, 0, 1.0);
Threshold bwFilter = new Threshold(1);
PointedColorFloodFill blackout = new PointedColorFloodFill();
blackout.Tolerance = Color.FromArgb(0, 0, 0);
blackout.FillColor = Color.FromArgb(0, 0, 0);
ExtractBiggestBlob getgame = new ExtractBiggestBlob();
getgame.OriginalImage = new Bitmap(img);
GrayscaleToRGB colorFilter = new GrayscaleToRGB();
//Color determined with ColorProbe.
borderFind.Hue = new IntRange(190, 200);
borderFind.Saturation = new Range(0.6f, 0.8f);
borderFind.Luminance = new Range(0.6f, 1.0f);
borderFind.ApplyInPlace(img);
borderClose.ApplyInPlace(img);
img = grayFilter.Apply(img);
bwFilter.ApplyInPlace(img);
invert.ApplyInPlace(img);
img = colorFilter.Apply(img);
blackout.StartingPoint = new AForge.IntPoint(0, 0);
blackout.ApplyInPlace(img);
img = getgame.Apply(img);
int tilesx = img.Width / 56;
int tilesy = img.Height / 56;
int offsetx = 56 * (int)(tilesx - img.Width / 56.0);
int offsety = 56 * (int)(tilesy - img.Height / 56.0);
if ((Math.Abs(offsetx) > 11) || (Math.Abs(offsety) > 11))
throw new GameNotFoundException();
List<IntPoint> corners = new List<IntPoint>();
Dictionary<IntPoint, Bitmap> tiles = new Dictionary<IntPoint, Bitmap>();
SimpleQuadrilateralTransformation tileXtract = new SimpleQuadrilateralTransformation();
for (int j = 0; j < tilesy; j++)
for (int i = 0; i < tilesx; i++)
{
corners.Add(new IntPoint(offsetx + i * 56, offsety + j * 56 ));
corners.Add(new IntPoint(offsetx + i * 56, offsety + (j + 1) * 56 - 1));
corners.Add(new IntPoint(offsetx + (i + 1) * 56 - 1, offsety + (j + 1) * 56 - 1));
corners.Add(new IntPoint(offsetx + (i + 1) * 56 - 1, offsety + j * 56 ));
tileXtract.SourceQuadrilateral = corners;
tiles.Add(new IntPoint(i, j), tileXtract.Apply(img));
corners.Clear();
}
img = (Bitmap)Properties.Resources.ResourceManager.GetObject("cb");
/*Graphics g = Graphics.FromImage(img);
Pen bluePen = new Pen(Color.Blue, 2);
for (int i = 0, n = blobs.Length; i < n; i++)
{
List<IntPoint> edgePoints = blobCounter.GetBlobsEdgePoints(blobs[i]);
if (edgePoints.Count > 1)
{
List<IntPoint> corners = PointsCloud.FindQuadrilateralCorners(edgePoints);
g.DrawPolygon(bluePen, ToPointsArray(corners));
}
}
bluePen.Dispose();
g.Dispose();
*/
return img;
}
//functions
public void process(Bitmap image)
{
while (true)
{
ProcessImage.Notifier.WaitOne();
foreach (Bitmap _image in queue.GetConsumingEnumerable())//it will block here automatically waiting from new items to be added and it will not take cpu down
{
//Red
HSLFiltering redFilter = new HSLFiltering(new IntRange(345, 15), new Range(0.400f, 1.0f), new Range(0.15f, 1.0f));
HSLFiltering yellowFilter = new HSLFiltering(new IntRange(345, 15), new Range(0.400f, 1.0f), new Range(0.15f, 1.0f));
HSLFiltering whiteFilter = new HSLFiltering(new IntRange(345, 15), new Range(0.400f, 1.0f), new Range(0.15f, 1.0f));
HSLFiltering greenFilter = new HSLFiltering(new IntRange(345, 15), new Range(0.400f, 1.0f), new Range(0.15f, 1.0f));
HSLFiltering blueFilter = new HSLFiltering(new IntRange(345, 15), new Range(0.400f, 1.0f), new Range(0.15f, 1.0f));
redFilter.FillOutsideRange = true;
greenFilter.FillOutsideRange = true;
blueFilter.FillOutsideRange = true;
whiteFilter.FillOutsideRange = true;
yellowFilter.FillOutsideRange = true;
redFilter.ApplyInPlace(_image);
blueFilter.ApplyInPlace(_image);
greenFilter.ApplyInPlace(_image);
yellowFilter.ApplyInPlace(_image);
whiteFilter.ApplyInPlace(_image);
FeatureExtracting.queue.Add(_image);
FeatureExtracting.Notifier.Set();
}
}
}
public static void inkFilter()
{
HSLFiltering filter = new HSLFiltering();
filter.FillOutsideRange = false;
filter.FillColor = fillColor;
filter.Hue = filterHue;
filter.Saturation = filterSat;
filter.Luminance = filterLig;
filter.ApplyInPlace(img);
}
public static void Hsl_Setter(Bitmap video, int minHue, int maxHue, float minSat, float maxSat, float minLum, float maxLum)
{
//Create color filter
HSLFiltering HslFilter = new HSLFiltering();
//configre the filter
HslFilter.Hue = new IntRange(minHue, maxHue);
HslFilter.Saturation = new Range(minSat, maxSat);
HslFilter.Luminance = new Range(minLum, maxLum);
//apply color filter to the image
HslFilter.ApplyInPlace(video);
}
// set color ranges to keep
public FrameProcessor(LaserController controller)
{
_controller = controller;
var min_size_val = 4;
bc = new BlobCounter();
bc.FilterBlobs = true;
bc.MinHeight = min_size_val;
bc.MinWidth = min_size_val;
bc.MaxHeight = min_size_val + 50;
bc.MaxWidth = min_size_val + 50;
AForge.Imaging.Filters.HSLFiltering hslFilter = new AForge.Imaging.Filters.HSLFiltering();
}
public FieldInterface()
{
InitializeComponent();
savedDir = new DirectoryInfo("Saved");
if (!savedDir.Exists)
{
savedDir.Create();
}
processor = new ImageProcessor();
camera = new CameraHandler(this);
filter = new HSLFiltering();
camera.SetStream("http://10.6.19.11/mjpg/video.mjpg");
camera.Start();
}
public void FilterChanged()
{
HSLFiltering newFilter = new HSLFiltering();
newFilter.Hue =
new IntRange((int)hueMinInput.Value, (int)hueMaxInput.Value);
newFilter.Saturation =
new Range((float)satMinInput.Value / 100f, (float)satMaxInput.Value / 100f);
newFilter.Luminance =
new Range((float)lumMinInput.Value / 100f, (float)lumMaxInput.Value / 100f);
filter = newFilter;
//if (camera == null || !camera.Running)
//{
// processor.SetFilter(filter);
// UpdateDisplays(false);
//}
//else
//{
// processor.SetFilter(filter, false);
//}
}
protected Bitmap[] colourFilter(Bitmap image)
{
HSLFiltering filt = new HSLFiltering();
filt.FillOutsideRange = true;
FilteredImage = new Bitmap[4];
for (int i = 0; i < 4; i++)
{
switch (i)
{
case RED:
filt.Hue = new IntRange(345, 15);
filt.Saturation = new Range(0.4f, 1.0f);
filt.Luminance = new Range(0.15f, 1.0f);
FilteredImage[RED] = filt.Apply(image);
break;
case GREEN:
filt.Hue = new IntRange(90, 115);
filt.Saturation = new Range(0.3f, 1.0f);
filt.Luminance = new Range(0.15f, 0.9f);
FilteredImage[GREEN] = filt.Apply(image);
break;
case YELLOW:
filt.Hue = new IntRange(25, 80);
filt.Saturation = new Range(0.2f, 0.9f);
filt.Luminance = new Range(0.25f, 0.8f);
FilteredImage[YELLOW] = filt.Apply(image);
break;
case BLUE:
filt.Hue = new IntRange(180, 240);
filt.Saturation = new Range(0.1f, 1.0f);
filt.Luminance = new Range(0.1f, 0.7f);
FilteredImage[BLUE] = filt.Apply(image);
break;
}
}
//UpdateVideo(image);
return FilteredImage;
}
/// <summary>
/// Filter the image froma HSV colour range
/// </summary>
/// <param name="image">Bitmap Image, any suitable image</param>
/// <returns>Bitmap Image</returns>
public Bitmap addFilters(Bitmap image)
{
//Instantiate new HSL filter
AForge.Imaging.Filters.HSLFiltering hslFilter = new AForge.Imaging.Filters.HSLFiltering();
//Define HSL colour range (default colour is orange)
hslFilter.Hue = new AForge.IntRange(0, 50);
hslFilter.Saturation = new AForge.DoubleRange(0.7, 1);
hslFilter.Luminance = new AForge.DoubleRange(0.2, 0.7);
//Instantiate new RGB filter
/*AForge.Imaging.Filters.ColorFiltering rgbFilter = new AForge.Imaging.Filters.ColorFiltering();
//Define RGB colour range (default colour is orange)
rgbFilter.Red = new AForge.IntRange(60, 180);
rgbFilter.Green = new AForge.IntRange(10, 80);
rgbFilter.Blue = new AForge.IntRange(5, 25);*/
//Apply the HSL filter to the input image
hslFilter.ApplyInPlace(image);
//Create a 5 by 5 matrix using a short array
int rows = 5;
int cols = 5;
short[,] Matrix = new short[rows, cols];
for (int i = 0; i < rows; i++)
for (int j = 0; j < cols; j++)
Matrix[i, j] = 1;
//Instantiate new dilate filter with the 5 by 5 matrix
AForge.Imaging.Filters.Dilatation dilate = new AForge.Imaging.Filters.Dilatation(Matrix);
//Apply the filter
dilate.ApplyInPlace(image);
return image;
}
/// <summary>
/// Initializes a new instance of the <see cref="HslBlobTracker"/> class.
/// </summary>
/// <param name="filter">The filter.</param>
public HslBlobTracker(HSLFiltering filter)
{
this.filter = filter;
this.blobCounter = new BlobCounter();
this.trackingObject = new TrackingObject();
blobCounter.CoupledSizeFiltering = false;
blobCounter.FilterBlobs = true;
}
public void addcouleur(Bitmap bm)
{
if (LstZone.Count == 0 || LstZone[LstZone.Count - 1].ID != -1 && col !=null)
{
int w_i = bm.Width;
int h_i = bm.Height;
int w_c = imgReel.Width;
int h_c = imgReel.Height;
float ord = ((float)w_i * (float)((float)this.col[0] / (float)w_c));
float abs = ((float)h_i * (float)((float)this.col[1] / (float)h_c));
this.col = null;
int R = 0, G = 0 , B = 0, A = 0;
int count = 0;
// Moyenne des pixels
for (int i = (int)(ord - 1); i < (int)(ord + 1); i++)
{
for (int j = (int)(abs - 1); j < (int)(abs + 1); j++)
{
count++;
Color c = bm.GetPixel(i,j);
R += c.R;
G += c.G;
B += c.B;
A += c.A;
}
}
RGB tmp = new RGB(((byte)(R / count)), ((byte)(G / count)), ((byte)(B / count)), ((byte)(A / count)));
HSL colo = HSL.FromRGB(tmp);
Logger.GlobalLogger.debug("Couleur ajoutée : " + tmp.ToString() + " HLS : " + colo.Hue + " " + colo.Luminance + " " + colo.Saturation);
HSLFiltering Filter = new HSLFiltering();
Filter.Hue = new IntRange((colo.Hue + 340) % 360, (colo.Hue + 20) % 360);
Filter.Saturation = new Range(0.6f, 1f);
Filter.Luminance = new Range(0.1f, 1f);
LstHslFiltering.Add(Filter);
PositionZone ZoneTmp = new PositionZone();
ZoneTmp.ID = -1;
LstZone.Add(ZoneTmp);
MessageBox.Show("Ajouter une zone de dépose avec le click milieu");
}
}
private Bitmap hslImage(String path)
{
try
{
Bitmap image = new Bitmap(path);
HSLFiltering filter = new HSLFiltering();
//filter.Hue = new AForge.IntRange(335,0);
filter.UpdateHue = false;
filter.Luminance = new AForge.Range(0.4f, 1);
filter.Saturation = new AForge.Range(0.6f, 1);
image = filter.Apply(image);
return image;
}
catch (Exception ex)
{
throw new Exception("Deu erro na conversão");
}
}
private IFilter GenerateFilters()
{
FiltersSequence filters = new FiltersSequence();
foreach (TreeNode node in treeLayers.Nodes)
{
if (node.Level == 0 && node.Checked)
{
foreach (TreeNode child in node.Nodes)
{
if (child.Checked)
{
HSLFiltering local_filter = new HSLFiltering(((LayerColor)child.Tag).hue_range, ((LayerColor)child.Tag).sat_range, ((LayerColor)child.Tag).lum_range);
local_filter.FillColor = ((LayerProperties)node.Tag).HSLReplacementColor;
local_filter.FillOutsideRange = false;
filters.Add(local_filter);
}
}
}
}
return filters;
}
void sensor_AllFramesReady(object sender, Microsoft.Kinect.AllFramesReadyEventArgs e)
{
if(this.command == "Stop")
{
Bot.stop();
}
if(this.command == "Forward")
{
Bot.traverse();
}
if (this.command == "Right")
{
Bot.turnRight();
}
if (this.command == "Left")
{
Bot.turnRight();
}
xf++;
if (xf % 5 == 0)
{
xf = 0;
if (this.command != null)
{
using (ColorImageFrame colorFrame = e.OpenColorImageFrame())
{
using (DepthImageFrame depthFrame = e.OpenDepthImageFrame())
{
using (SkeletonFrame skeletonFrame = e.OpenSkeletonFrame())
{
humanPosition = frameToHuman(skeletonFrame);
if (colorFrame != null)
{
// Copy the pixel data from the image to a temporary array
colorFrame.CopyPixelDataTo(this.colorPixels);
// Write the pixel data into our bitmap
this.colorBitmap.WritePixels(
new Int32Rect(0, 0, this.colorBitmap.PixelWidth, this.colorBitmap.PixelHeight),
this.colorPixels,
this.colorBitmap.PixelWidth * sizeof(int),
0);
// Error here due to OpenCV_core290.dll
//int[] objPos = new int[2];
//objPos = tmp.matchColor(ImageProc.colorFrameToImage(colorFrame));
//if (objPos != null)
//{
// short blobDepth = getDepthAtPoint(objPos, depthFrame);
// this.lblObject.Content = objPos[0] + ", " + objPos[1] + ", " + blobDepth;
//}
//else
//{
// this.lblObject.Content = "Null";
//}
System.Drawing.Bitmap bmp = ImageProc.colorFrameToAforge(colorFrame);
HSLFiltering filter = new HSLFiltering();
// set color ranges to keep
if (objec[0] == -1)
{
if (command == "Fetching Bottle")
{
filter.Hue = bottleH;
filter.Saturation = bottleS;
filter.Luminance = bottleL;
}
else if (command == "Fetching Box")
{
filter.Hue = boxH;
filter.Saturation = boxS;
filter.Luminance = boxL;
}
//// apply the filter
filter.ApplyInPlace(bmp);
BlobCounter blobCounter = new BlobCounter(bmp);
int i = blobCounter.ObjectsCount;
ExtractBiggestBlob fil = new ExtractBiggestBlob();
int[] pp = new int[2];
pp[0] = 0;
pp[1] = 0;
int h = 0;
if (i > 0)
{
fil.Apply(bmp);
pp[0] = fil.BlobPosition.X;
pp[1] = fil.BlobPosition.Y;
h = fil.Apply(bmp).Height;
}
short blobDepth = getDepthAtPoint(pp, depthFrame);
this.lblObject.Content = pp[0] + ", " + pp[1] + ", " + blobDepth;
this.objec[0] = pp[0];
this.objec[1] = pp[1];
this.objec[2] = blobDepth;
}
else
{
filter.Hue = botH;
filter.Saturation = botS;
filter.Luminance = botL;
filter.ApplyInPlace(bmp);
BlobCounter blobCounter = new BlobCounter(bmp);
int i = blobCounter.ObjectsCount;
ExtractBiggestBlob fil = new ExtractBiggestBlob();
int[] pp = new int[2];
pp[0] = 0;
pp[1] = 0;
int h = 0;
if (i > 0)
{
fil.Apply(bmp);
pp[0] = fil.BlobPosition.X;
pp[1] = fil.BlobPosition.Y;
h = fil.Apply(bmp).Height;
}
short blobDepth = getDepthAtPoint(pp, depthFrame);
this.lblBot.Content = pp[0] + ", " + pp[1] + ", " + blobDepth;
this.bot[0] = pp[0];
this.bot[1] = pp[1];
this.bot[2] = blobDepth;
}
//Assign Manual Position to bot and object
}
if (humanPosition != null)
{
this.lblHuman.Content = humanPosition[0] + ", " + humanPosition[1] + ", " + humanPosition[2];
}
else
{
this.lblHuman.Content = "No Human detected";
}
if (this.path == 0)
{
if (humanPosition != null)
{
if (Bot.moveDoraemon(this.bot[0], this.humanPosition[0], this.bot[2], this.humanPosition[2]) == 0)
{
this.path = 1;
}
}
}
else
{
if (Bot.moveDoraemon(this.bot[0], this.objec[0], this.bot[2], this.objec[2]) == 0)
{
Bot.stop();
}
}
}
}
}
this.lbl.Content = command;
}
}
}
/// <summary>
///
/// </summary>
/// <param name="img"></param>
/// <returns></returns>
public GameLogic ScrapeBoardFromImage(Bitmap img)
{
// filter board's color to better identify tiles
Blur blur = new Blur();
blur.Threshold = 1;
blur.ApplyInPlace(img);
BrightnessCorrection brightness_filter = new BrightnessCorrection(-30);
brightness_filter.ApplyInPlace(img);
HSLFiltering luminance_filter = new HSLFiltering();
luminance_filter.Luminance = new Range(0.50f, 1);
luminance_filter.ApplyInPlace(img);
img.Save("c:\\users\\breiche\\pictures\\filtered.bmp", ImageFormat.Bmp);
DetectBlobsInImage(img);
img.Save("c:\\users\\breiche\\pictures\\blobs.bmp", ImageFormat.Bmp);
return new GameLogic(0, 0);
}
public void Process(Bitmap bmp, HSLFiltering filter = null, Bitmap copy = null)
{
if (bmp == null)
{
return;
}
Original = bmp;
if (Original == null)
{
return;
}
Bitmap previous = Filtered;
if (copy != null)
{
Filtered = (Bitmap)Original.Clone();
}
else
{
Filtered = copy;
}
if (previous != null)
{
previous.Dispose();
}
if (filter != null)
{
filter.ApplyInPlace(Filtered);
}
processData();
}
//eventhandler if new frame is ready
private void video_NewFrame(object sender, NewFrameEventArgs eventArgs)
{
Bitmap img = (Bitmap)eventArgs.Frame.Clone();
if (counterImg == 10)
{
double delaisImage = DateTime.Now.TimeOfDay.TotalMilliseconds - _mill_last_pic;
_mill_last_pic = DateTime.Now.TimeOfDay.TotalMilliseconds;
double FPS = 1 / delaisImage * 1000 * counterImg + 1;
// txt_nb_fps.Text = FPS.ToString() ;
//txt_resolution.Text = "" + videoSource.DesiredFrameSize.Height + " * " + videoSource.DesiredFrameSize.Width;
string resolutionTxt = "" + img.Width + " * " + img.Height;
if (this != null && (!this.IsDisposed))
{
try
{
this.Invoke((ProcessNewFPS)UpdateNewFPS, FPS);
this.Invoke((ProcessNewResolution)UpdateNewResolution, resolutionTxt);
}
catch (ObjectDisposedException) // La fenetre était en train de se fermée
{
}
}
counterImg = 0;
}
counterImg++;
//Rectangle rect = new Rectangle(0,0,eventArgs.Frame.Width,eventArgs.Frame.Height);
// 1 - grayscaling
UnmanagedImage image = UnmanagedImage.FromManagedImage(img);
UnmanagedImage imageRouge = image.Clone();
UnmanagedImage imageBleu = image.Clone();
UnmanagedImage imageVert = image.Clone();
UnmanagedImage grayImage = null;
Color colorPoint = image.GetPixel(posX, posY);
this.Invoke((ProcessLalbelText)ChangeLabelText, new object[] { colorPoint.GetHue().ToString(), lbl_hue });
this.Invoke((ProcessLalbelText)ChangeLabelText, new object[] { colorPoint.GetBrightness().ToString(), lbl_lum });
this.Invoke((ProcessLalbelText)ChangeLabelText, new object[] { colorPoint.GetSaturation().ToString(), lbl_sat });
if (image.PixelFormat == PixelFormat.Format8bppIndexed)
{
grayImage = image;
}
else
{
grayImage = UnmanagedImage.Create(image.Width, image.Height,
PixelFormat.Format8bppIndexed);
Grayscale.CommonAlgorithms.BT709.Apply(image, grayImage);
}
// 2 - Edge detection
DifferenceEdgeDetector edgeDetector = new DifferenceEdgeDetector();
UnmanagedImage edgesImage = edgeDetector.Apply(grayImage);
// 3 - Threshold edges
Threshold thresholdFilterGlyph = new Threshold((short)numericUpDown3.Value);
Threshold thresholdFilterCouleur = new Threshold((short)numericUpDown2.Value);
thresholdFilterGlyph.ApplyInPlace(edgesImage);
/*
*
* Bitmap image = (Bitmap)eventArgs.Frame.Clone();
//Reference : http://www.aforgenet.com/framework/docs/html/743311a9-6c27-972d-39d2-ddc383dd1dd4.htm
* private HSLFiltering filter = new HSLFiltering();
// set color ranges to keep red-orange
filter.Hue = new IntRange(0, 20);
filter.Saturation = new DoubleRange(0.5, 1);
// apply the filter
filter.ApplyInPlace(image);
* */
/*RGB colorRed = new RGB(215, 30, 30);
RGB colorBlue = new RGB(10, 10, 215);
RGB colorVert = new RGB(30, 215, 30);
RGB colorBlanc = new RGB(225, 219, 160);*/
HSLFiltering filter = new HSLFiltering();
// create filter
// EuclideanColorFiltering filter = new EuclideanColorFiltering();
//filter.Radius = (short)numericUpDown1.Value;
filter.Hue = new IntRange(40, 140);
filter.Saturation = new Range(0.5f, 1.0f);
filter.Luminance = new Range(0.2f, 1.0f);
//filter.CenterColor = colorRed;
filter.ApplyInPlace(imageRouge);
filter.Hue = new IntRange(100, 180);
//filter.CenterColor = colorBlanc;
filter.ApplyInPlace(imageVert);
filter.Hue = new IntRange(0, 40);
//filter.CenterColor = colorBlue;
filter.ApplyInPlace(imageBleu);
Grayscale filterRouge = new Grayscale(0.800, 0.200, 0.200);
Grayscale filterVert = new Grayscale(0.200, 0.800, 0.200);
Grayscale filterBleu = new Grayscale(0.200, 0.200, 0.800);
UnmanagedImage grayRougeImage = filterRouge.Apply(imageRouge);
UnmanagedImage grayBleuImage = filterBleu.Apply(imageBleu);
UnmanagedImage edgesRougeImage = edgeDetector.Apply(grayRougeImage);
UnmanagedImage edgesBleuImage = edgeDetector.Apply(grayBleuImage);
thresholdFilterCouleur.ApplyInPlace(edgesRougeImage);
thresholdFilterCouleur.ApplyInPlace(edgesBleuImage);
// All the image processing is done here...
// pictureBox1.Image = image.ToManagedImage();
if (this != null && (!this.IsDisposed)) // Si on est pas en train de suppirmer la fenetre
{
try
{
this.Invoke((ProcessNewImage)DisplayNewImage, new object[] { image, pic_ImageNormal });
this.Invoke((ProcessNewImage)DisplayNewImage, new object[] { edgesImage, pic_ImageEdge });
this.Invoke((ProcessNewImage)DisplayNewImage, new object[] { imageRouge, pic_ImageRouge });
this.Invoke((ProcessNewImage)DisplayNewImage, new object[] { imageBleu, pic_ImageBleu });
this.Invoke((ProcessNewImage)DisplayNewImage, new object[] { imageVert, pic_ImageVert });
}
catch (ObjectDisposedException) // La fenetre était en train de se fermée
{
}
}
/*pictureBox2.Image = grayImage.ToManagedImage();
pictureBox3.Image = edgesImage.ToManagedImage();
pictureBox4.Image = imageRouge.ToManagedImage();*/
}
public void FilterChanged()
{
lock (_sync)
{
_filter = null;
}
}
private void FillPictureBoxes(ref Bitmap image)
{
Bitmap tmpImg = image;
Bitmap tmpImg2 = image;
try
{
bool hasFilter = false;
//setup resize and filtersequesce
//resize img to fit picturebox
ResizeBicubic resizeFilter = new ResizeBicubic(0, 0);
resizeFilter = new ResizeBicubic(pbCapture.Width, pbCapture.Height);
tmpImg = resizeFilter.Apply(tmpImg);
resizeFilter = new ResizeBicubic(pbShapes.Width, pbShapes.Height);
tmpImg2 = resizeFilter.Apply(tmpImg2);
FiltersSequence processingFilter = new FiltersSequence();
//List all filters
IFilter ConservativeSmoothingFilter = new AForge.Imaging.Filters.ConservativeSmoothing();
IFilter InvertFilter = new AForge.Imaging.Filters.Invert();
IFilter HSLFilteringFilter = new AForge.Imaging.Filters.HSLFiltering();
IFilter SepiaFilter = new AForge.Imaging.Filters.Sepia();
IFilter grayscaleFilter = new AForge.Imaging.Filters.GrayscaleBT709();
IFilter SkeletonizationFilter = new AForge.Imaging.Filters.SimpleSkeletonization();
IFilter pixFilter = new AForge.Imaging.Filters.Pixellate();
////apply filter and process img---------------------------------------------
if (ConservativeSmoothing)
{
processingFilter.Add(ConservativeSmoothingFilter);
hasFilter = true;
}
if (Invert)
{
processingFilter.Add(InvertFilter);
hasFilter = true;
}
if (HSLswitch)
{
processingFilter.Add(HSLFilteringFilter);
hasFilter = true;
}
if (sepiaSwitch)
{
processingFilter.Add(SepiaFilter);
hasFilter = true;
}
if (Skeletonization)
{
processingFilter.Add(grayscaleFilter);
processingFilter.Add(SkeletonizationFilter);
hasFilter = true;
}
//apply the filter(s) to image
if (hasFilter)
{
//tmpImg = processingFilter.Apply(tmpImg);
tmpImg2 = processingFilter.Apply(tmpImg2);
}
processingFilter.Clear();
if (bwSwitch)
{
switchBandW(ref tmpImg);
}
if (CannyEdgeDetector)
{
// create filter
CannyEdgeDetector filter = new CannyEdgeDetector();
// apply the filter
tmpImg = Grayscale.CommonAlgorithms.BT709.Apply(tmpImg);
filter.ApplyInPlace(tmpImg);
// image = DrawFocusArea(gsImage);
}
else
{
// image = DrawFocusArea(image);
}
if (DifferenceEdgeDetector)
{
DifferenceEdgeDetector dFilter = new DifferenceEdgeDetector();
// apply the filter
tmpImg = Grayscale.CommonAlgorithms.BT709.Apply(tmpImg);
dFilter.ApplyInPlace(tmpImg);
}
if (HomogenityEdgeDetector)
{
HomogenityEdgeDetector hFilter = new HomogenityEdgeDetector();
// apply the filter
tmpImg = Grayscale.CommonAlgorithms.BT709.Apply(tmpImg);
hFilter.ApplyInPlace(tmpImg);
}
if (SobelEdgeDetector)
{
SobelEdgeDetector hFilter = new SobelEdgeDetector();
// apply the filter
tmpImg = Grayscale.CommonAlgorithms.BT709.Apply(tmpImg);
hFilter.ApplyInPlace(tmpImg);
BlobCounter bc = new BlobCounter(tmpImg);
Rectangle[] brecs = bc.GetObjectsRectangles();
//Graphics pg = Graphics.FromImage(tmpImg);
//Pen p = new Pen(Color.White, 2);
//foreach (Rectangle r in brecs)
//{
// pg.DrawRectangle(p, r);
//}
}
if (findShapes)
{
tmpImg = FindShapes(tmpImg, ref tmpImg2);
//ProcessImage(image);
}
else
{
pbCapture.Image = tmpImg; //set picturebox image----------------
pbShapes.Image = tmpImg2; //set picturebox image----------------
}
// Graphics g = Graphics.FromImage(tmpImg);
// Pen p = new Pen(Color.Red, 2);
// Rectangle lr = new Rectangle(100, 120, 80, 40);
//// Rectangle rr = new Rectangle(360, 220, 80, 40);
// g.DrawRectangle(p, lr);
// //g.DrawRectangle(p, rr);
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
// pbCapture.Image = tmpImg;//set picturebox image----------------
// pbShapes.Image = tmpImg2;//set picturebox image----------------
}