public CVImage CalcBackProject(CVHistogram histogram)
{
CVImage[] planes = Split();
CVImage backProjection =
new CVImage(
planes[0].RegionOfInterest.Width,
planes[0].RegionOfInterest.Height,
planes[0].Depth,
planes[0].Channels);
__IplImagePtr[] iplImages = new __IplImagePtr[planes.Length];
for (int i = 0; i < planes.Length; ++i)
{
iplImages[i] = planes[i].Internal;
}
PInvoke.cvCalcBackProject(iplImages, backProjection.Internal, histogram.Internal);
CVUtils.CheckLastError();
for (int i = 0; i < planes.Length; ++i)
{
planes[i].Release();
}
return(backProjection);
}
public CVHistogram CalcHistogram(int[] binSizes, CVPair[] binRanges, CVImage mask)
{
CVHistogram h = new CVHistogram(binSizes, binRanges);
__IplImagePtr[] images = new __IplImagePtr[this.Channels];
if (this.Channels == 1)
{
images[0] = this.Internal;
}
else
{
CVImage[] planes = this.Split();
for (int i = 0; i < planes.Length; ++i)
{
images[i] = planes[i].Internal;
}
}
__CvArrPtr maskArr = IntPtr.Zero;
if (mask != null)
{
maskArr = mask.Array;
}
PInvoke.cvCalcHist(images, h.Internal, 0, maskArr);
CVUtils.CheckLastError();
return(h);
}
void DrawHistogram(PictureBox window, CVHistogram histo, int channelIdx)
{
int imageWidth = window.Width;
int imageHeight = window.Height;
int bins = histo.BinSizes[0];
int binWidth = imageWidth / bins;
if (binWidth <= 0) binWidth = 1;
CVPair minMax = histo.MinMaxValue;
CVImage outputImage = new CVImage(imageWidth, imageHeight, CVDepth.Depth8U, 3);
outputImage.Zero();
for (int bin = 0; bin < bins; bin++)
{
double binValue = histo[bin];
byte level = (byte)CVUtils.Round(binValue * 255 / minMax.Second);
byte binHeight = (byte)CVUtils.Round(binValue * imageHeight / minMax.Second);
byte[] color = new byte[3];
color[channelIdx] = (byte) (((double) bin / (double) bins) * 255);
byte[] markerColor = new byte[3];
markerColor[channelIdx] = level;
Color colColor = Color.FromArgb(color[2], color[1], color[0]);
Color colMarker = Color.FromArgb(markerColor[2], markerColor[1], markerColor[0]);
outputImage.DrawRectangle(new Rectangle(bin * binWidth, imageHeight - binHeight, binWidth - 1, binHeight), colColor);
outputImage.DrawRectangle(new Rectangle(bin * binWidth, imageHeight - binHeight, binWidth - 1, binHeight), colMarker);
outputImage.DrawRectangle(new Rectangle(bin * binWidth, imageHeight - binHeight, 1, binHeight), colMarker);
}
window.Image = outputImage.ToBitmap();
outputImage.Release();
}
private void CalculateMaskedHistogram()
{
if (videoPlayer.LastFrame == null) return;
using (CVImage frame = videoPlayer.LastFrame.CopyRegion(meanShift.SelectionRect))
{
// create a list of real fg and bg markers.
List<Point> realFg = new List<Point>(meanShift.GetMarkerLocations(Color.Blue));
List<Point> realBg = new List<Point>(meanShift.GetMarkerLocations(Color.Red));
// create the histogram mask.
using (CVImage mask = MaskedHistogram.PrepareMask(frame, realFg.ToArray(), realBg.ToArray(), includeNeautral.Checked, ffThresh.Value))
{
maskPicture.Image = mask.ToBitmap();
// show mask histogram to user interface.
maskHistogram.BinsPerChannel = Bins;
maskHistogram.ShowHistogram(frame, mask);
// calculate new histogram (dispose old one if exist).
if (hist != null) hist.Dispose();
hist = frame.CalcHistogram(Bins, mask);
// apply mask to overlay (just for ui).
using (CVImage masked = MaskedHistogram.ApplyMask(frame, mask))
{
maskOverlay.Image = masked.ToBitmap();
}
}
}
NextFrame(false);
}
private void meanShiftNoMask_SelectionChanged(object sender, EventArgs e)
{
using (CVImage frame = videoPlayer.LastFrame.CopyRegion(meanShiftNoMask.SelectionRect))
{
if (histNoMask != null) histNoMask.Dispose();
histNoMask = frame.CalcHistogram(Bins);
noMaskHist.BinsPerChannel = Bins;
noMaskHist.ShowHistogram(frame);
}
NextFrame(false);
}
/// <summary>
/// Calculate the histogram for the region of interest and saves it under
/// initialHistogram.
/// </summary>
private void UpdateHistogram()
{
// release the previous histogram if any.
if (initialHistogram != null) initialHistogram.Release();
// if there's no image, just return.
if (image == null) return;
// we use symmetric bins and entire range.
int[] bpBins = { NumberOfBins, NumberOfBins, NumberOfBins };
CVPair[] bpRanges = { new CVPair(0, 255), new CVPair(0, 255), new CVPair(0, 255) };
// calculate histogram for region of interest and display it in panel.
image.RegionOfInterest = originalImage.SelectionRect;
this.initialHistogram = image.CalcHistogram(bpBins, bpRanges);
initHisto.ShowHistogram(image);
image.ResetROI();
ResetSegmentation();
RefreshImages();
}
private void video_SelectionChanged(object sender, EventArgs f)
{
if (videoPlayer.LastFrame == null) return;
using (CVImage region = videoPlayer.LastFrame.CopyRegion(video.SelectionRect))
{
selectionHistogram = region.CalcHistogram(30);
}
ProcessRegionGrowing();
}
public CVHistogram CalcHistogram(int[] binSizes, CVPair[] binRanges, CVImage mask)
{
CVHistogram h = new CVHistogram(binSizes, binRanges);
__IplImagePtr[] images = new __IplImagePtr[this.Channels];
if (this.Channels == 1)
{
images[0] = this.Internal;
}
else
{
CVImage[] planes = this.Split();
for (int i = 0; i < planes.Length; ++i)
{
images[i] = planes[i].Internal;
}
}
__CvArrPtr maskArr = IntPtr.Zero;
if (mask != null) maskArr = mask.Array;
PInvoke.cvCalcHist(images, h.Internal, 0, maskArr);
CVUtils.CheckLastError();
return h;
}
public CVImage CalcBackProject(CVHistogram histogram)
{
CVImage[] planes = Split();
CVImage backProjection =
new CVImage(
planes[0].RegionOfInterest.Width,
planes[0].RegionOfInterest.Height,
planes[0].Depth,
planes[0].Channels);
__IplImagePtr[] iplImages = new __IplImagePtr[planes.Length];
for (int i = 0; i < planes.Length; ++i)
iplImages[i] = planes[i].Internal;
PInvoke.cvCalcBackProject(iplImages, backProjection.Internal, histogram.Internal);
CVUtils.CheckLastError();
for (int i = 0; i < planes.Length; ++i)
planes[i].Release();
return backProjection;
}
private void video_SelectionChanged(object sender, EventArgs e)
{
if (videoPlayer.LastFrame == null) return;
using (CVImage region = videoPlayer.LastFrame.CopyRegion(video.SelectionRect))
{
selectionHistogram = region.CalcHistogram(30);
//histo.ShowHistogram(region);
}
ProcessMeanShift();
}
