public void FindContourTest2()
{
Bitmap bmp = Accord.Imaging.Image.Clone(Properties.Resources.hand2);
BlobCounter bc = new BlobCounter(bmp);
bc.ObjectsOrder = ObjectsOrder.Size;
Blob[] blobs = bc.GetObjectsInformation();
bc.ExtractBlobsImage(bmp, blobs[0], true);
List<IntPoint> expected = bc.GetBlobsEdgePoints(blobs[0]);
Bitmap blob = blobs[0].Image.ToManagedImage();
BorderFollowing bf = new BorderFollowing();
List<IntPoint> actual = bf.FindContour(blob);
foreach (IntPoint point in expected)
Assert.IsTrue(actual.Contains(point));
IntPoint prev = actual[0];
for (int i = 1; i < actual.Count; i++)
{
IntPoint curr = actual[i];
Assert.IsTrue(System.Math.Abs(prev.X - curr.X) <= 1 &&
System.Math.Abs(prev.Y - curr.Y) <= 1);
prev = curr;
}
IntPoint first = actual[0];
IntPoint last = actual[actual.Count - 1];
Assert.IsTrue(System.Math.Abs(first.X - last.X) <= 1 &&
System.Math.Abs(first.Y - last.Y) <= 1);
}
public void FindDefectsTest()
{
Bitmap bmp = Accord.Imaging.Image.Clone(Properties.Resources.hand);
Bitmap gray = Accord.Imaging.Filters.Grayscale.CommonAlgorithms.BT709.Apply(bmp);
BlobCounter bc = new BlobCounter(gray);
bc.ObjectsOrder = ObjectsOrder.Size;
Blob[] blobs = bc.GetObjectsInformation();
bc.ExtractBlobsImage(bmp, blobs[0], true);
Bitmap blob = blobs[0].Image.ToManagedImage();
BorderFollowing bf = new BorderFollowing();
List<IntPoint> contour = bf.FindContour(blob);
GrahamConvexHull graham = new GrahamConvexHull();
List<IntPoint> hull = graham.FindHull(contour);
ConvexHullDefects hullDefects = new ConvexHullDefects(10);
List<ConvexityDefect> defects = hullDefects.FindDefects(contour, hull);
/* PointsMarker marker = new PointsMarker(hull, Color.Green, 10);
marker.ApplyInPlace(blob);
ImageBox.Show(blob);
*/
Assert.AreEqual(2, defects.Count);
Assert.AreEqual(new IntPoint(130, 10), contour[defects[0].Start]);
Assert.AreEqual(new IntPoint(93, 109), contour[defects[0].Point]);
Assert.AreEqual(new IntPoint(64, 9), contour[defects[0].End]);
Assert.AreEqual(99.549179077148438, defects[0].Depth, 1e-5);
Assert.IsFalse(double.IsNaN(defects[0].Depth));
// Assert.AreEqual(9912.9531239366424, defects[0].Area);
Assert.AreEqual(new IntPoint(49, 18), contour[defects[1].Start]);
Assert.AreEqual(new IntPoint(61, 106), contour[defects[1].Point]);
Assert.AreEqual(new IntPoint(18, 127), contour[defects[1].End]);
Assert.AreEqual(35.615153852366504, defects[1].Depth, 1e-5);
Assert.IsFalse(double.IsNaN(defects[1].Depth));
// Assert.AreEqual(2293.7535682510002, defects[1].Area);
}
// Process image
private void ProcessImage(Bitmap bitmap)
{
// lock image
BitmapData bitmapData = bitmap.LockBits(
new Rectangle(0, 0, bitmap.Width, bitmap.Height),
ImageLockMode.ReadWrite, bitmap.PixelFormat);
// step 1 - turn background to black
ColorFiltering colorFilter = new ColorFiltering();
colorFilter.Red = new IntRange(0, 64);
colorFilter.Green = new IntRange(0, 64);
colorFilter.Blue = new IntRange(0, 64);
colorFilter.FillOutsideRange = false;
colorFilter.ApplyInPlace(bitmapData);
// step 2 - locating objects
BlobCounter blobCounter = new BlobCounter();
blobCounter.FilterBlobs = true;
blobCounter.MinHeight = 5;
blobCounter.MinWidth = 5;
blobCounter.ProcessImage(bitmapData);
Blob[] blobs = blobCounter.GetObjectsInformation();
bitmap.UnlockBits(bitmapData);
// step 3 - check objects' type and highlight
SimpleShapeChecker shapeChecker = new SimpleShapeChecker();
Graphics g = Graphics.FromImage(bitmap);
Pen yellowPen = new Pen(Color.Yellow, 2); // circles
Pen redPen = new Pen(Color.Red, 2); // quadrilateral
Pen brownPen = new Pen(Color.Brown, 2); // quadrilateral with known sub-type
Pen greenPen = new Pen(Color.Green, 2); // known triangle
Pen bluePen = new Pen(Color.Blue, 2); // triangle
for (int i = 0, n = blobs.Length; i < n; i++)
{
List<IntPoint> edgePoints = blobCounter.GetBlobsEdgePoints(blobs[i]);
Accord.Point center;
float radius;
// is circle ?
if (shapeChecker.IsCircle(edgePoints, out center, out radius))
{
g.DrawEllipse(yellowPen,
(float)(center.X - radius), (float)(center.Y - radius),
(float)(radius * 2), (float)(radius * 2));
}
else
{
List<IntPoint> corners;
// is triangle or quadrilateral
if (shapeChecker.IsConvexPolygon(edgePoints, out corners))
{
// get sub-type
PolygonSubType subType = shapeChecker.CheckPolygonSubType(corners);
Pen pen;
if (subType == PolygonSubType.Unknown)
{
pen = (corners.Count == 4) ? redPen : bluePen;
}
else
{
pen = (corners.Count == 4) ? brownPen : greenPen;
}
g.DrawPolygon(pen, ToPointsArray(corners));
}
}
}
yellowPen.Dispose();
redPen.Dispose();
greenPen.Dispose();
bluePen.Dispose();
brownPen.Dispose();
g.Dispose();
// put new image to clipboard
Clipboard.SetDataObject(bitmap);
// and to picture box
pictureBox.Image = bitmap;
UpdatePictureBoxPosition();
}
private void BtnCalcAccord_Click(object sender, RoutedEventArgs e)
{
if (imageLoaded)
{
Stopwatch stopwatch = new Stopwatch();
stopwatch.Start();
Accord.Imaging.UnmanagedImage unmanagedImage1 = Accord.Imaging.UnmanagedImage.FromManagedImage(GrayScaleImage);
Accord.Imaging.BlobCounter bc = new Accord.Imaging.BlobCounter
{
BackgroundThreshold = Color.Black,
CoupledSizeFiltering = true,
FilterBlobs = true,
MinHeight = 30,
MinWidth = 30,
MaxHeight = 100,
MaxWidth = 100
};
bc.ProcessImage(GrayScaleImage);
Bitmap indexMap = AForge.Imaging.Image.Clone(GrayScaleImage);
for (int x = 0; x < indexMap.Width; x++)
{
for (int y = 0; y < indexMap.Height; y++)
{
indexMap.SetPixel(x, y, System.Drawing.Color.Black);
}
}
System.Drawing.Rectangle[] rects = bc.GetObjectsRectangles();
// process blobs
BreadBlob[] breadBlob1 = new BreadBlob[bc.ObjectsCount];
int blobArrayIndex = 0;
int blobPt = Convert.ToInt16(txbBlobNum.Text);
int blobThreshold = Convert.ToInt16(txbBlobThreshold.Text);
if (blobPt > bc.ObjectsCount)
{
blobPt = bc.ObjectsCount - 1;
}
StaticsCalculator MuffinStatistics = new StaticsCalculator();
Graphics g = Graphics.FromImage(indexMap);
List <Accord.Imaging.Blob> blobList = new List <Accord.Imaging.Blob>();
foreach (Accord.Imaging.Blob blob in bc.GetObjects(GrayScaleImage, false))
{
blobList.Add(blob);
breadBlob1[blobArrayIndex] = new BreadBlob();
breadBlob1[blobArrayIndex].TopDownThreshold = blobThreshold;
byte[,] blobArray = new byte[blob.Rectangle.Width, blob.Rectangle.Height];
for (int x = blob.Rectangle.Left; x < blob.Rectangle.Right; x++)
{
for (int y = blob.Rectangle.Top; y < blob.Rectangle.Bottom; y++)
{
System.Drawing.Color tempPixelColor = GrayScaleImage.GetPixel(x, y);
blobArray[x - blob.Rectangle.Left, y - blob.Rectangle.Top] = tempPixelColor.G;
}
}
breadBlob1[blobArrayIndex].PixelArray = blobArray;
breadBlob1[blobArrayIndex].X = blob.Rectangle.X;
breadBlob1[blobArrayIndex].Y = blob.Rectangle.Y;
if (blobArrayIndex == blobPt)
{
System.Drawing.Rectangle tempRect = blob.Rectangle;
tempRect.X -= 1;
tempRect.Y -= 1;
tempRect.Width += 2;
tempRect.Height += 2;
Accord.Imaging.Drawing.Rectangle(unmanagedImage1, tempRect, System.Drawing.Color.Yellow);
}
if (breadBlob1[blobArrayIndex].IsTop())
{
Accord.Imaging.Drawing.Rectangle(unmanagedImage1, blob.Rectangle, System.Drawing.Color.Green);
}
else
{
Accord.Imaging.Drawing.Rectangle(unmanagedImage1, blob.Rectangle, System.Drawing.Color.Red);
}
RectangleF rectf = new RectangleF(blob.Rectangle.X, blob.Rectangle.Y, blob.Rectangle.Width, blob.Rectangle.Height);
g.SmoothingMode = SmoothingMode.AntiAlias;
g.InterpolationMode = InterpolationMode.HighQualityBicubic;
g.PixelOffsetMode = PixelOffsetMode.HighQuality;
g.DrawString(Convert.ToString(blob.ID - 1), new Font("Arial", 5), System.Drawing.Brushes.White, rectf);
lblBlobHeight.Content = blob.Rectangle.Height;
lblBlobWidth.Content = blob.Rectangle.Width;
blobArrayIndex++;
}
lblAccordStdDev.Content = blobList[blobPt].ColorStdDev.B;
BitmapImage indexMap_temp = ToBitmapImage(indexMap);
g.Flush();
// conver to managed image if it is required to display it at some point of time
Bitmap managedImage = unmanagedImage1.ToManagedImage();
// create filter
Add filter = new Add(indexMap);
// apply the filter
Bitmap resultImage = filter.Apply(managedImage);
BitmapImage GrayImage_temp = ToBitmapImage(resultImage);
imgGray.Source = GrayImage_temp;
stopwatch.Stop();
lblTime.Content = stopwatch.ElapsedMilliseconds;
lblBlobCount.Content = bc.ObjectsCount;
lblLib.Content = "Accord";
lblVariance.Content = breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.All);
lblX.Content = breadBlob1[blobPt].X;
lblY.Content = breadBlob1[blobPt].Y;
lblQ1Variance.Content = "";
lblQ2Variance.Content = "";
lblQ3Variance.Content = "";
lblQ4Variance.Content = "";
lblQAverage.Content = breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.QAverage);
//lblAllMuffinStat.Content = MuffinStatistics.StandardDeviation;
}
}
public void GetBlobs2(string inputFile, string outputPath)
{
UnmanagedImage skewedImg = null;
UnmanagedImage bwInvImg = null;
{
var bmp = new Bitmap(inputFile);
var img = UnmanagedImage.FromManagedImage(bmp);
var grayImg = Accord.Imaging.Filters.Grayscale.CommonAlgorithms.BT709.Apply(img);
var bwImg = new Accord.Imaging.Filters.OtsuThreshold().Apply(grayImg);
var skewChecker = new DocumentSkewChecker();
double angle = skewChecker.GetSkewAngle(bwImg);
var rotateFilter = new Accord.Imaging.Filters.RotateBilinear(-angle);
skewedImg = rotateFilter.Apply(img);
bwImg.Dispose();
grayImg.Dispose();
img.Dispose();
bmp.Dispose();
}
{
var grayImg = Accord.Imaging.Filters.Grayscale.CommonAlgorithms.BT709.Apply(skewedImg);
var bwImg = new Accord.Imaging.Filters.OtsuThreshold().Apply(grayImg);
var openingFilter = new Accord.Imaging.Filters.Opening();
openingFilter.ApplyInPlace(bwImg);
bwInvImg = new Accord.Imaging.Filters.Invert().Apply(bwImg);
bwImg.Dispose();
grayImg.Dispose();
}
var blobProc = new Accord.Imaging.BlobCounter();
blobProc.ProcessImage(bwInvImg);
var blobs = blobProc.GetObjectsInformation().ToList();
foreach (Accord.Imaging.Blob blob in blobs.OrderBy(b => b.Rectangle.Left).ThenBy(b => b.Rectangle.Top))
{
Console.WriteLine("{0} {1}", blob.Rectangle.ToString(), blob.Area.ToString());
}
//Layout parameters
var expectedLineMarkerSize = new System.Drawing.Size(25, 10); //new System.Drawing.Size(35, 15);
var expectedCellSize = new System.Drawing.Size(15, 10); //new System.Drawing.Size(20, 13);
int expectedNumlineMarkers = 19; // 23;
int tolerance = 3;
//Limits to determine in a cell is marked
double fullnessOk = .75;
double fullnessUnsure = .65;
var questions = new List <Tuple <int, Accord.Imaging.Blob, List <Accord.Imaging.Blob> > >();
{
var lineMarkers = blobs.Where(b =>
{
if (b.Rectangle.Width < expectedLineMarkerSize.Width - tolerance)
{
return(false);
}
if (b.Rectangle.Width > expectedLineMarkerSize.Width + tolerance)
{
return(false);
}
if (b.Rectangle.Height < expectedLineMarkerSize.Height - tolerance)
{
return(false);
}
if (b.Rectangle.Height > expectedLineMarkerSize.Height + tolerance)
{
return(false);
}
return(true);
})
.OrderBy(b => b.Rectangle.Left)
.ThenBy(b => b.Rectangle.Top)
.ToList();
if (lineMarkers.Count() != expectedNumlineMarkers)
{
throw new Exception(string.Format("Can't locate all line markers. Expected {0}, found {1}", expectedNumlineMarkers, lineMarkers.Count));
}
var cells = blobs.Where(b =>
{
if (b.Rectangle.Width < expectedCellSize.Width - tolerance)
{
return(false);
}
if (b.Rectangle.Width > expectedCellSize.Width + tolerance)
{
return(false);
}
if (b.Rectangle.Height < expectedCellSize.Height - tolerance)
{
return(false);
}
if (b.Rectangle.Height > expectedCellSize.Height + tolerance)
{
return(false);
}
return(true);
}).ToList();
int idxLine = 1;
foreach (var lineMarker in lineMarkers.OrderBy(b => b.CenterOfGravity.Y))
{
var cellsOfLine = cells.Where(b => Math.Abs(b.CenterOfGravity.Y - lineMarker.CenterOfGravity.Y) <= tolerance)
.Take(5)
.ToList()
.OrderBy(b => b.CenterOfGravity.X)
.ToList();
questions.Add(new Tuple <int, Accord.Imaging.Blob, List <Accord.Imaging.Blob> >(idxLine, lineMarker, cellsOfLine));
idxLine++;
}
}
{
var bmp = skewedImg.ToManagedImage();
using (Graphics g = Graphics.FromImage(bmp))
{
foreach (var question in questions)
{
g.FillRectangle(new SolidBrush(Color.Blue), question.Item2.Rectangle);
g.DrawString(question.Item1.ToString(), new System.Drawing.Font("Arial", 8), new SolidBrush(Color.White), question.Item2.Rectangle);
int column = 1;
foreach (Accord.Imaging.Blob blob in question.Item3.OrderBy(b => b.Rectangle.Left).ThenBy(b => b.Rectangle.Top))
{
if (System.Diagnostics.Debugger.IsAttached)
{
Console.WriteLine("Line {0}, Column {1}, Fullness {2}", question.Item1, column, Math.Round(blob.Fullness, 2));
}
if (blob.Fullness >= fullnessOk)
{
g.DrawRectangle(new Pen(Color.Green, 2), blob.Rectangle);
}
else if (blob.Fullness >= fullnessUnsure)
{
g.DrawRectangle(new Pen(Color.Yellow, 2), blob.Rectangle);
}
else
{
g.DrawRectangle(new Pen(Color.Red, 2), blob.Rectangle);
}
column++;
}
}
}
// bmp.Save(outp);
}
}
/// <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;
}
private void captureHand(UnmanagedImage mask, Rectangle rect, PictureBox pbArm, PictureBox pbHand)
{
Crop c = new Crop(rect);
var handImage = c.Apply(mask);
var ps = handImage.Collect16bppPixelValues(handImage.CollectActivePixels());
if (ps.Length > 0)
{
ushort max = Matrix.Max(ps);
LevelsLinear16bpp levels = new LevelsLinear16bpp();
levels.InGray = new IntRange(0, max);
levels.OutGray = new IntRange(0, 65535);
levels.ApplyInPlace(handImage);
// pbArm.Image = handImage.ToManagedImage();
double cutoff = 30000;
Threshold th = new Threshold((int)cutoff);
var handMask = th.Apply(handImage);
var handMask8bit = Accord.Imaging.Image.Convert16bppTo8bpp(handMask.ToManagedImage());
BlobCounter bch = new BlobCounter();
bch.ObjectsOrder = ObjectsOrder.Area;
bch.ProcessImage(handMask8bit);
var blob = bch.GetObjectsInformation();
if (blob.Length > 0)
{
Intersect inters = new Intersect();
inters.UnmanagedOverlayImage = handMask;
inters.ApplyInPlace(handImage);
Crop ch = new Crop(blob[0].Rectangle);
handImage = ch.Apply(handImage);
ResizeNearestNeighbor res = new ResizeNearestNeighbor(25, 25);
handImage = res.Apply(handImage);
var leftHand = Accord.Imaging.Image.Convert16bppTo8bpp(handImage.ToManagedImage());
pbHand.Image = leftHand;
}
}
}
private void videoSourcePlayer1_NewFrame(object sender, ref Bitmap image)
{
Invert inv = new Invert();
inv.ApplyInPlace(image);
UnmanagedImage ui = UnmanagedImage.FromManagedImage(image);
pictureBox1.Image = image;
if (controller.Tracker.TrackingObject == null)
return;
if (controller.Tracker.TrackingObject.IsEmpty)
return;
var rect = controller.Tracker.TrackingObject.Rectangle;
Crop crop = new Crop(rect);
UnmanagedImage head = crop.Apply(ui);
var points = new List<IntPoint>() { new IntPoint(head.Width / 2, head.Height / 2) };
var pps = head.Collect16bppPixelValues(points);
double mean = pps.Mean();
double cutoff = mean + 15;
Threshold t = new Threshold((int)cutoff);
var mask = t.Apply(ui);
LevelsLinear16bpp levels = new LevelsLinear16bpp();
levels.InGray = new IntRange((int)cutoff, 65535);
levels.OutGray = new IntRange(0, 65535);
levels.ApplyInPlace(ui);
var mask8bit = Accord.Imaging.Image.Convert16bppTo8bpp(mask.ToManagedImage());
BlobCounter bc = new BlobCounter();
bc.ObjectsOrder = ObjectsOrder.Area;
bc.ProcessImage(mask8bit);
var blobs = bc.GetObjectsInformation();
inv.ApplyInPlace(image);
Intersect intersect = new Intersect();
intersect.UnmanagedOverlayImage = mask;
mask = intersect.Apply(ui);
List<Rectangle> rects = new List<Rectangle>();
// Extract the uppermost largest blobs.
for (int i = 0; i < blobs.Length; i++)
{
double dx = (blobs[i].Rectangle.Top - controller.Tracker.TrackingObject.Center.Y);
double d = (dx * dx) / controller.Tracker.TrackingObject.Area;
if (d < 2 && blobs[i].Area > 1000)
rects.Add(blobs[i].Rectangle);
}
rects.Sort(compare);
if (rects.Count > 0)
{
captureHand(mask, rects[0], pbLeftArm, pbLeftHand);
}
if (rects.Count > 1)
{
captureHand(mask, rects[1], pbRightArm, pbRightHand);
}
RectanglesMarker marker = new RectanglesMarker(rects);
marker.MarkerColor = Color.White;
marker.ApplyInPlace(mask8bit);
image = mask.ToManagedImage();
}
