/// <summary>
/// Makes image transpose and creates mask image
/// </summary>
/// <param name="inputImage"></param>
/// <param name="maskImage"></param>
/// <param name="name"></param>
/// <returns></returns>
public bool Execute(List <NamedData> data, string name)
{
try
{
Image <Gray, ushort>[] inputImages = GetEmguUShortImages("RawImages", data);
int imageCounter = inputImages?.Length ?? 0;
if (imageCounter == 0)
{
_logger?.InfoLog("No raw image was found dynamicresult!", ClassName);
return(false);
}
Image <Gray, byte>[] maskImages = new Image <Gray, byte> [imageCounter];
for (int m = 0; m < imageCounter; m++)
{
CvInvoke.Transpose(inputImages[m], inputImages[m]);
// calculate historamm for binarythreshold
_hist.Calculate <ushort>(new[] { inputImages[0] }, false, null);
float thresh;
_thresholdcalculator.Execute(_hist, out thresh);
if (_showImages)
{
GeneralImageHandling.SaveHistogram(name, "PreProcessor", "Histogram", _hist, _logger);
}
double maskValue = 255.0;
if (thresh > 255)
{
thresh /= 16;
}
// tempimage for thresholding:
_tempimage = inputImages[m].Convert <Gray, byte>();
CvInvoke.Threshold(_tempimage, _thresholdedImage, thresh, maskValue, ThresholdType.Binary);
_tempimage?.Dispose();
CvInvoke.Erode(_thresholdedImage, _dilatedImage, null, new Point(-1, -1), 3, BorderType.Default, new MCvScalar(0));
CvInvoke.Dilate(_dilatedImage, _thresholdedImage, null, new Point(-1, -1), 4, BorderType.Default, new MCvScalar(0));
maskImages[m] = _thresholdedImage;
maskImages[m].Reduce(_reducedMask, ReduceDimension.SingleCol, ReduceType.ReduceAvg);
// this section tries to mask out the belts:
int count = 0;
double MagicThreshold1 = 0.4; // 40%
double MagicThreshold2 = 0.18; // 15%
for (int i = 0; i < _reducedMask.Height; i++)
{
if (_reducedMask[i, 0] > (1 - MagicThreshold1) * maskValue)
{
count++;
}
}
if (count < maskImages[m].Height * (1 - MagicThreshold2))
{
Rectangle fullRoi = new Rectangle(0, 0, maskImages[m].Width, maskImages[m].Height);
Rectangle rectLeft = new Rectangle(0, _beltCoordinates.LeftBeltStart, maskImages[m].Width, _beltCoordinates.LeftBeltEnd - _beltCoordinates.LeftBeltStart);
Rectangle rectRight = new Rectangle(0, _beltCoordinates.RightBeltStart, maskImages[m].Width, _beltCoordinates.RightBeltEnd - _beltCoordinates.RightBeltStart);
maskImages[m].ROI = rectLeft;
maskImages[m].SetValue(0.0);
maskImages[m].ROI = rectRight;
maskImages[m].SetValue(0.0);
maskImages[m].ROI = fullRoi; // new Rectangle(0, 0, maskImage.Width, maskImage.Height);
}
if (_showImages)
{
ImageViewer.Show(inputImages[m], "ImagePreProcessor - transposed image");
ImageViewer.Show(maskImages[m], "ImagePreProcessor - maskImage");
//SaveMaskImage(name, maskImages[m], "MaskImage");
GeneralImageHandling.SaveImage(name, "ImagePreProcessor", "MaskImage", maskImages[m], _logger);
}
}
data.Add(new EmguByteNamedData(maskImages, "Maskimages", "MaskImages"));
return(true);
}
catch (Exception ex)
{
_logger?.ErrorLog($"Exception occured: {ex}", ClassName);
return(false);
}
}
