public static void TestColorFiltering()
{
var bmp = (System.Drawing.Bitmap)System.Drawing.Bitmap.FromFile(colorImgName);
var image = bmp.ToImage <Bgr, byte>();
UnmanagedImage uIm = UnmanagedImage.FromManagedImage(bmp);
measure(() =>
{
var hsvIm = image.Convert <Hsv, byte>();
var mask = hsvIm.InRange(new Hsv(335 / 2, 0, 0), new Hsv(180, 0, 0), 0 /*just first channel*/);
var maskedIm = image.CopyBlank();
image.CopyTo(maskedIm, mask);
},
() =>
{
AForge.Imaging.Filters.HSLFiltering f = new AForge.Imaging.Filters.HSLFiltering();
f.Hue = new AForge.IntRange(335, 0);
f.Apply(uIm);
},
100,
"Image<,> HSV filtering",
"AForge HSL filtering");
}
//Filter to find red
private Bitmap redF(Bitmap image)
{
//Create Filter and set value ranges
AForge.Imaging.Filters.HSLFiltering filter = new AForge.Imaging.Filters.HSLFiltering();
filter.Hue = new AForge.IntRange(350, 25);
filter.Saturation = new AForge.Range(0.5f, 1);
filter.Luminance = new AForge.Range(0.15f, 1);
filter.ApplyInPlace(image);
//Create a blob counter to search through the image
AForge.Imaging.BlobCounter extractor = new AForge.Imaging.BlobCounter();
extractor.MinHeight = 5;
extractor.MinWidth = 5;
extractor.FilterBlobs = true;
extractor.ProcessImage(image);
//Gets the rectangles so that we can draw around them
Rectangle[] rects = extractor.GetObjectsRectangles();
if (rects.Length > 0)
{
Rectangle objectRect = rects[0];
Graphics g = Graphics.FromImage(image);
using (Pen pen = new Pen(Color.FromArgb(160, 255, 160), 2))
{
g.DrawRectangle(pen, objectRect);
}
g.Dispose();
//Get the direction and change state.
objDirectionRed(objectRect, image.Width);
currentState = RoboState.FOLLOW_RED;
}
return(image);
}
private Bitmap blueF(Bitmap image)
{
//Create Filter and set value ranges
AForge.Imaging.Filters.HSLFiltering filter = new AForge.Imaging.Filters.HSLFiltering();
filter.Hue = new AForge.IntRange(200, 240);
filter.Saturation = new AForge.Range(0.3f, 1);
filter.Luminance = new AForge.Range(0.1f, 1);
filter.ApplyInPlace(image);
AForge.Imaging.BlobCounter extractor = new AForge.Imaging.BlobCounter();
extractor.MinHeight = 5;
extractor.MinWidth = 5;
extractor.FilterBlobs = true;
extractor.ProcessImage(image);
//Create a blob counter to search through the image
Rectangle[] rects = extractor.GetObjectsRectangles();
if (rects.Length > 0)
{
Rectangle objectRect = rects[0];
Graphics g = Graphics.FromImage(image);
using (Pen pen = new Pen(Color.FromArgb(160, 255, 160), 2))
{
g.DrawRectangle(pen, objectRect);
}
g.Dispose();
//Get the direction and change state.
if (currentState != RoboState.FOLLOW_RED && currentState != RoboState.FOLLOW_GREEN)
{
currentState = RoboState.SEARCH;
}
}
return(image);
}
/// <summary>
/// Look at the input image and find a suitable blob.
/// </summary>
/// <param name="filter">HSL filter to use for image segmentation.</param>
/// <param name="image">Input image to segment.</param>
/// <param name="minRect">Minimum size of output blob.</param>
/// <param name="colourBitmap">Bitmap to write binary image to.</param>
/// <param name="maxSize">Maximum size of output blob (default value will allow any size).</param>
/// <returns>A rectangle array of all suitable blobs, or an empty array if no suitable blobs are found.</returns>
protected System.Drawing.Rectangle[] DetectObstacle(AForge.Imaging.Filters.HSLFiltering filter, Bitmap image, System.Drawing.Point minRect, out Bitmap colourBitmap, System.Drawing.Point maxSize = default(System.Drawing.Point))
{
Bitmap filtered;
filtered = filter.Apply(image);
//short[,] structuringElement = new short[,] { { 0, 1, 0 }, { 1, 1, 1 }, { 0, 1, 0 } };
filtered = BinaryImage(filtered);
//AForge.Imaging.Filters.Opening openingFilter = new AForge.Imaging.Filters.Opening(structuringElement);
//filtered = openingFilter.Apply(filtered);
colourBitmap = filtered;
AForge.Imaging.BlobCounter blobs = new AForge.Imaging.BlobCounter();
blobs.MinWidth = (int)minRect.X;
blobs.MinHeight = (int)minRect.Y;
if (!maxSize.IsEmpty)
{
blobs.MaxWidth = maxSize.X;
blobs.MaxHeight = maxSize.Y;
}
blobs.FilterBlobs = true;
blobs.ObjectsOrder = AForge.Imaging.ObjectsOrder.Size;
blobs.ProcessImage(filtered);
System.Drawing.Rectangle[] rectangles = blobs.GetObjectsRectangles();
return(rectangles);
}
/// <summary>
/// Pass in a filter to set up.
/// </summary>
/// <param name="dict">Dictionary of filter values.</param>
/// <param name="filter">Filter to be set.</param>
/// <param name="colour">Name of the colour filter being modified.</param>
public void SetIndividualFilters(Dictionary <string, float> dict, out AForge.Imaging.Filters.HSLFiltering filter, string colour)
{
filter = new AForge.Imaging.Filters.HSLFiltering();
float left = 0f;
float right = 0f;
dict.TryGetValue(colour + "HueMin", out left);
dict.TryGetValue(colour + "HueMax", out right);
filter.Hue = new AForge.IntRange((int)left, (int)right);
dict.TryGetValue(colour + "SatMin", out left);
dict.TryGetValue(colour + "SatMax", out right);
filter.Saturation = new AForge.Range(left, right);
dict.TryGetValue(colour + "LumMin", out left);
dict.TryGetValue(colour + "LumMax", out right);
filter.Luminance = new AForge.Range(left, right);
}
void videoPlayer_NewFrame(object sender, ref System.Drawing.Bitmap image)
{
//do something, we got a new frame from the video source.
lock (this)
{
if (bIsMotionDetectionOn)
{
if (motionDetector != null)
{
float motionLevel = motionDetector.ProcessFrame(image);
}
}
if (bIsColorFilteringOn)
{
//try filtering for a color
AForge.Imaging.Filters.HSLFiltering hslFilter = new AForge.Imaging.Filters.HSLFiltering();
// set color ranges to keep
if (this.userhslFilter != null)
{
//hslFilter = this.userhslFilter;
// apply the filter
//hslFilter.ApplyInPlace(image);
hslFilter.Hue = new IntRange(335, 0);//335,0 = nice saturated red
//hslFilter.Hue = new IntRange(45, 65);//yellow
//hslFilter.Hue = new IntRange(170, 190);//light blue
//hslFilter.Saturation = new DoubleRange(0.5, 1);
hslFilter.Saturation = new DoubleRange(0.5, 1).ToIntRange(false);
//hslFilter.Luminance = new DoubleRange(0.1, 1);
hslFilter.Luminance = new DoubleRange(0.1, 1).ToIntRange(false);
hslFilter.ApplyInPlace(image);
/*
* hslFilter.Hue.Max = Convert.ToInt32(selectedColor.GetHue());
* hslFilter.Hue.Min = Convert.ToInt32(selectedColor.GetHue());
* hslFilter.Luminance.Max = Convert.ToDouble(selectedColor.GetBrightness());
* hslFilter.Luminance.Min = 0.01;
* hslFilter.Saturation.Max = Convert.ToDouble(selectedColor.GetSaturation());
* hslFilter.Saturation.Min = 0.01;
*/
/*
* AForge.Imaging.Filters.ColorFiltering colorFiltering = new AForge.Imaging.Filters.ColorFiltering();
* colorFiltering.Red = new IntRange(150,255);
* colorFiltering.Green = new IntRange(0, 70);
* colorFiltering.Blue = new IntRange(0, 70);
* colorFiltering.ApplyInPlace(image);
*/
/*
* AForge.Imaging.Filters.EuclideanColorFiltering euclidClrFltr = new AForge.Imaging.Filters.EuclideanColorFiltering();
* //euclidClrFltr.CenterColor = Color.FromArgb(200, 0, 0);
* euclidClrFltr.CenterColor = Color.Empty;
* euclidClrFltr.CenterColor = Color.FromName(selectedColor.Name);
* euclidClrFltr.Radius = 100;
* euclidClrFltr.ApplyInPlace(image);
* */
}
}
if (this.bIsBlobCountingOn)
{
//grayscale the filtered image.
AForge.Imaging.Filters.Grayscale grayscaling = new AForge.Imaging.Filters.Grayscale(
0.2125, 0.7154, 0.0721);
image = grayscaling.Apply(image);
//blob detection
ProcessBlobs(image);
}
}
}
public void SetFilters(object values)
{
Dictionary<string, float> dict = (Dictionary<string, float>)values;
greenFilter = new AForge.Imaging.Filters.HSLFiltering();
float left = 80;
float right = 0;
dict.TryGetValue("greenHueMin", out left);
dict.TryGetValue("greenHueMax", out right);
greenFilter.Hue = new AForge.IntRange((int)left, (int)right);
dict.TryGetValue("greenSatMin", out left);
dict.TryGetValue("greenSatMax", out right);
greenFilter.Saturation = new AForge.Range(left, right);
dict.TryGetValue("greenLumMin", out left);
dict.TryGetValue("greenLumMax", out right);
greenFilter.Luminance = new AForge.Range(left, right);
redFilter = new AForge.Imaging.Filters.HSLFiltering();
dict.TryGetValue("redHueMin", out left);
dict.TryGetValue("redHueMax", out right);
redFilter.Hue = new AForge.IntRange((int)left, (int)right);
dict.TryGetValue("redSatMin", out left);
dict.TryGetValue("redSatMax", out right);
redFilter.Saturation = new AForge.Range(left, right);
dict.TryGetValue("redLumMin", out left);
dict.TryGetValue("redLumMax", out right);
redFilter.Luminance = new AForge.Range(left, right);
whiteFilter = new AForge.Imaging.Filters.HSLFiltering();
whiteFilter.Hue = new AForge.IntRange(160, 240);
whiteFilter.Saturation = new AForge.Range(0.1f, 1.0f);
whiteFilter.Luminance = new AForge.Range(0.1f, 0.7f);
}
/// <summary>
/// Pass in a filter to set up.
/// </summary>
/// <param name="dict">Dictionary of filter values.</param>
/// <param name="filter">Filter to be set.</param>
/// <param name="colour">Name of the colour filter being modified.</param>
public void SetIndividualFilters(Dictionary<string, float> dict, out AForge.Imaging.Filters.HSLFiltering filter, string colour)
{
filter = new AForge.Imaging.Filters.HSLFiltering();
float left = 0f;
float right = 0f;
dict.TryGetValue(colour + "HueMin", out left);
dict.TryGetValue(colour + "HueMax", out right);
filter.Hue = new AForge.IntRange((int)left, (int)right);
dict.TryGetValue(colour + "SatMin", out left);
dict.TryGetValue(colour + "SatMax", out right);
filter.Saturation = new AForge.Range(left, right);
dict.TryGetValue(colour + "LumMin", out left);
dict.TryGetValue(colour + "LumMax", out right);
filter.Luminance = new AForge.Range(left, right);
}
Bitmap RemoveGreenBackground(Bitmap image)
{
AForge.Imaging.Filters.HSLFiltering filter = new AForge.Imaging.Filters.HSLFiltering();
if (Hue == 0)
{
filter.UpdateHue = false;
}
else
{
filter.Hue = new AForge.IntRange(Hue, 0);
}
if (Saturation == 0)
{
filter.UpdateSaturation = false;
}
else
{
filter.Saturation = new AForge.Range((float)Saturation, 1);
}
if (Luminance == 0)
{
filter.UpdateLuminance = false;
}
else
{
filter.Luminance = new AForge.Range(Luminance, 1);
}
//image = ResizeBitmap(image, 1620, 1080);
Bitmap bmp = new Bitmap(image);
filter.ApplyInPlace(bmp);
Bitmap output = new Bitmap(bmp.Width, bmp.Height);
// Iterate over all piels from top to bottom...
for (int y = 0; y < output.Height; y++)
{
// ...and from left to right
for (int x = 0; x < output.Width; x++)
{
// Determine the pixel color
Color camColor = bmp.GetPixel(x, y);
// Every component (red, green, and blue) can have a value from 0 to 255, so determine the extremes
byte max = Math.Max(Math.Max(camColor.R, camColor.G), camColor.B);
byte min = Math.Min(Math.Min(camColor.R, camColor.G), camColor.B);
// Should the pixel be masked/replaced?
bool replace =
camColor.G != min && // green is not the smallest value
(camColor.G == max || // green is the biggest value
max - camColor.G < 2) && // or at least almost the biggest value
(max - min) > 40; // minimum difference between smallest/biggest value (avoid grays)
if (replace)
{
camColor = Color.Transparent;
}
// Set the output pixel
output.SetPixel(x, y, camColor);
}
}
output = TrimBitmap(output);
return(output);
}
public static void TestColorFiltering()
{
var bmp = (System.Drawing.Bitmap)System.Drawing.Bitmap.FromFile(colorImgName);
var image = bmp.ToImage<Bgr, byte>();
UnmanagedImage uIm = UnmanagedImage.FromManagedImage(bmp);
measure(() =>
{
var hsvIm = image.Convert<Hsv, byte>();
var mask = hsvIm.InRange(new Hsv(335 / 2, 0, 0), new Hsv(180, 0, 0), 0 /*just first channel*/);
var maskedIm = image.CopyBlank();
image.CopyTo(maskedIm , mask);
},
() =>
{
AForge.Imaging.Filters.HSLFiltering f = new AForge.Imaging.Filters.HSLFiltering();
f.Hue = new AForge.IntRange(335, 0);
f.Apply(uIm);
},
100,
"Image<,> HSV filtering",
"AForge HSL filtering");
}