/// <summary>
/// Execute segmentation process of inner structures.
/// </summary>
public void Execute()
{
if (image != null)
{
Image <Bgr, byte> maskedImage = new Image <Bgr, byte>(image.Width, image.Height, new Bgr(255, 255, 255));
CvInvoke.cvCopy(image, maskedImage, particleMask);
Console.WriteLine("Image dimensions: " + image.Width + " / " + image.Height);
Console.WriteLine("Masked Image dimensions: " + maskedImage.Width + " / " + maskedImage.Height);
UMat temp = SegmentationUtils.IncreaseContrast(maskedImage.ToUMat(), 5.0, 8);
temp = SegmentationUtils.Blur(temp, 3, 1.0);
temp = SegmentationUtils.Sharp(temp);
Image <Bgr, byte> tempImage = new Image <Bgr, byte>(temp.Bitmap);
UMat uMatChannel = SegmentationUtils.GetColorChannelAsUMat(segmentationParameters.Colorspace, tempImage, segmentationParameters.Channel);
if (segmentationParameters.UseKmeans)
{
KmeansSegmentation(uMatChannel);
}
else
{
StandardSegmentation(uMatChannel);
}
}
}
/// <summary>
/// Execute segmentation process.
/// </summary>
public void Execute()
{
if (image != null)
{
UMat temp = SegmentationUtils.IncreaseContrast(image.ToUMat(), 5.0, 8);
temp = SegmentationUtils.Blur(temp, 3, 1.0);
temp = SegmentationUtils.Sharp(temp);
Image <Bgr, byte> tempImage = new Image <Bgr, byte>(temp.Bitmap);
UMat uMatChannel = SegmentationUtils.GetColorChannelAsUMat(segmentationParameters.Colorspace, tempImage, segmentationParameters.Channel);
UMat thresholded = null;
using (UMat copy = uMatChannel.Clone())
{
if (segmentationParameters.UseOtsu)
{
thresholded = SegmentationUtils.ThresholdOtsu(copy);
}
else
{
thresholded = SegmentationUtils.Threshold(copy, segmentationParameters.Threshold);
}
}
UMat closed = SegmentationUtils.Closing(thresholded, 5);
//UMat eroded = SegmentationUtils.Erode(closed, 15);
UMat dilated = SegmentationUtils.Dilate(closed, 10);
//ReadWriteUtils.WriteUMatToFile(ApplicationContext.OutputPath + "\\dilated.png", dilated);
VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint();
VectorOfVectorOfPoint contoursRelevant = new VectorOfVectorOfPoint();
CvInvoke.FindContours(dilated, contours, null, RetrType.External, ChainApproxMethod.ChainApproxSimple);
int autoMaxPixelSize = ImageUtils.GetPercentualImagePixelCount(image, 0.03f);
for (int i = 0; i < contours.Size; i++)
{
double area = CvInvoke.ContourArea(contours[i]);
if (IsContourRelevant(area, autoMaxPixelSize, segmentationParameters))
{
contoursRelevant.Push(contours[i]);
}
}
CvInvoke.DrawContours(image, contoursRelevant, -1, new MCvScalar(0, 0, 255));
mask = new Image <Gray, Byte>(image.Width, image.Height, new Gray(0.0));
CvInvoke.DrawContours(mask, contoursRelevant, -1, new MCvScalar(255.0), thickness: -1);
}
}
