public IHttpActionResult GetImages(int id, int catid)
{
List <COMimage> list;
//if the call was made to get the users image
if (catid != -1)
{
list = BLLimage.Getimages().FindAll(img => img.CategoryID == catid);
}
else
{
//time is current page number in this category images
list = BLLimage.Getimages().FindAll(img => img.UserId == id);
}
if (list == null)
{
return(BadRequest("fail to load images"));
}
if (list.Count > 0)
{
return(Ok(ImageMat.CreateMat(list, true)));
}
else
{
return(BadRequest("no more pictures for this category."));
}
}
private void ShowImage <T>(ImageMat <T> imageMat)
where T : struct
{
image.Height = imageMat.Height;
image.Width = imageMat.Width;
image.Source = imageMat.ToWriteableBitmap();
}
public static WriteableBitmap ToWriteableBitmap <T>(this ImageMat <T> image) where T : struct
{
WriteableBitmap bitmap = new WriteableBitmap(image.Width, image.Height, 96, 96, PixelFormats.Bgr24, null);
bitmap.WritePixels(new System.Windows.Int32Rect(0, 0, image.Width, image.Height), image.ToBGRBytes(), image.Width * 3, 0);
return(bitmap);
}
public void Apply()
{
var image = OpenCvSharp.Extensions.BitmapConverter.ToBitmap(ImageMat);
int dpi = 96;
WriteableBitmap bitmap = new WriteableBitmap(image.Width, image.Height, dpi, dpi, PixelFormats.Pbgra32, null);
using (var stream = ImageMat.ToMemoryStream())
{
Image.Value = BitmapFrame.Create(stream, BitmapCreateOptions.IgnoreColorProfile, BitmapCacheOption.OnLoad);
}
}
private void ProcessImage()
{
if (null == this.ImageMat)
{
return;
}
try
{
CvInvoke.GaussianBlur(this.ImageMat, this.ImageMat, new System.Drawing.Size(5, 5), 0);
MainWindow.ImageProcessorExaminer.AddImage(ImageMat.CreateNewHardCopyFromMat(), "MicroMeterCalibrator_GaussianBlur");
CvInvoke.AdaptiveThreshold(this.ImageMat, this.ImageMat, 255, Emgu.CV.CvEnum.AdaptiveThresholdType.MeanC, Emgu.CV.CvEnum.ThresholdType.BinaryInv, 59, this.AdaptiveThresholdConstant);
MainWindow.ImageProcessorExaminer.AddImage(ImageMat.CreateNewHardCopyFromMat(), "MicroMeterCalibrator_AdaptiveThreshold");
Contours = new VectorOfVectorOfPoint();
var hierarchy = new Mat();
CvInvoke.FindContours(this.ImageMat, Contours, hierarchy, Emgu.CV.CvEnum.RetrType.List, Emgu.CV.CvEnum.ChainApproxMethod.ChainApproxSimple);
var dims = Contours.Size;
for (var idx = 0; idx < dims; idx++)
{
var con = Contours[idx];
if (!(CvInvoke.ContourArea(con) < 800))
{
continue;
}
var color = new MCvScalar(0, 0, 0);
CvInvoke.FillConvexPoly(this.ImageMat, con, color);
}
MainWindow.ImageProcessorExaminer.AddImage(ImageMat.CreateNewHardCopyFromMat(), "MicroMeterCalibrator_FillConvexPoly");
var kernelMat1 = CvInvoke.GetStructuringElement(Emgu.CV.CvEnum.ElementShape.Rectangle, new System.Drawing.Size(3, 3), new System.Drawing.Point(-1, -1));
CvInvoke.MorphologyEx(
this.ImageMat,
this.ImageMat,
Emgu.CV.CvEnum.MorphOp.Open,
kernelMat1,
new System.Drawing.Point(-1, -1),
1, Emgu.CV.CvEnum.BorderType.Default,
new MCvScalar());
MainWindow.ImageProcessorExaminer.AddImage(ImageMat.CreateNewHardCopyFromMat(), "MicroMeterCalibrator_MorphologyEx_Open");
var kernelMat2 = CvInvoke.GetStructuringElement(Emgu.CV.CvEnum.ElementShape.Rectangle, new Size(7, 7), new System.Drawing.Point(-1, -1));
CvInvoke.MorphologyEx(
this.ImageMat,
this.ImageMat,
Emgu.CV.CvEnum.MorphOp.Close,
kernelMat2,
new Point(-1, -1),
2,
Emgu.CV.CvEnum.BorderType.Default,
new MCvScalar());
MainWindow.ImageProcessorExaminer.AddImage(ImageMat.CreateNewHardCopyFromMat(), "MicroMeterCalibrator_MorphologyEx_Close");
CvInvoke.FindContours(this.ImageMat, Contours, hierarchy, Emgu.CV.CvEnum.RetrType.Tree, Emgu.CV.CvEnum.ChainApproxMethod.ChainApproxSimple);
ContoursToMeasure = new VectorOfVectorOfPoint();
ContourImageMat = new Mat(this.ImageMat.Rows, this.ImageMat.Cols, Emgu.CV.CvEnum.DepthType.Cv8U, 4);
MainWindow.ImageProcessorExaminer.AddImage(ContourImageMat.CreateNewHardCopyFromMat(), "MicroMeterCalibrator_ContourImageMat");
dims = Contours.Size;
for (var idx = 0; idx < dims; idx++)
{
var con = Contours[idx];
if (CvInvoke.ContourArea(con) < 300)
{
continue;
}
if ((int)hierarchy.GetData().GetValue(0, idx, 3) < 0)
{
continue;
}
ContoursToMeasure.Push(con);
CvInvoke.DrawContours(ContourImageMat, Contours, 0, new MCvScalar(0, 255, 0, 255), 1);
var rect = CvInvoke.MinAreaRect(con);
this.BoundingBoxes.Add(rect);
}
MainWindow.ImageProcessorExaminer.AddImage(ContourImageMat.CreateNewHardCopyFromMat(), "MicroMeterCalibratorContourImageMat_2");
MainWindow.ImageProcessorExaminer.AddImage(ImageMat.CreateNewHardCopyFromMat(), "MicroMeterCalibrator_PutText");
}
catch (Exception e)
{
MessageBox.Show(e.Message);
}
}
internal MatLine(ImageMat <T> imageMat, int line)
{
this.imageMat = imageMat;
this.line = line;
}
public void Process()
{
if (null == this.ImageMat)
{
return;
}
try
{
this.OgImageMat = this.ImageMat.CreateNewHardCopyFromMat();
//Itt megkellene nézni, hogy mik vannak minden enum mögött, hogy van-e jobb alternatíva
//Blurring image
var tempSize = new Size(5, 5);
//Using input | output arrays instead of temp objects
CvInvoke.GaussianBlur(this.ImageMat, this.ImageMat, tempSize, 0);
MainWindow.ImageProcessorExaminer.AddImage(ImageMat.CreateNewHardCopyFromMat(), "ImageProcessor_GaussianBlur");
//Adaptive threshold
var tempAdaptiveThreshold = this.AdaptiveThresholdConstant;
//Azt az 59-et majd meg kell lesni, hogy miért az van
CvInvoke.AdaptiveThreshold(this.ImageMat, this.ImageMat, 255, Emgu.CV.CvEnum.AdaptiveThresholdType.MeanC, Emgu.CV.CvEnum.ThresholdType.BinaryInv, 59, this.AdaptiveThresholdConstant);
MainWindow.ImageProcessorExaminer.AddImage(ImageMat.CreateNewHardCopyFromMat(), "ImageProcessor_AdaptiveThreshold");
//Get contours and remove small patches
Contours = new VectorOfVectorOfPoint();
Mat hierarchy = new Mat();
// meg kellene nézni miez ez a mat, vactorofvectorpoint és input, output és inoutputarrayek
CvInvoke.FindContours(this.ImageMat, Contours, hierarchy, Emgu.CV.CvEnum.RetrType.List, Emgu.CV.CvEnum.ChainApproxMethod.ChainApproxSimple);
var dims = Contours.Size;
for (var idx = 0; idx < dims; idx++)
{
var con = Contours[idx];
if (!(CvInvoke.ContourArea(con) < 800))
{
continue;
}
var color = new MCvScalar(0, 0, 0);
//CvInvoke.FillPoly(this.ImageMat, con, color);
//TODO ezt lehet meg kellene még vizsgálni
CvInvoke.FillConvexPoly(this.ImageMat, con, color);
}
MainWindow.ImageProcessorExaminer.AddImage(ImageMat.CreateNewHardCopyFromMat(), "ImageProcessor_FillConvexPoly");
//Open then close to close gaps
var kernelMat1 = CvInvoke.GetStructuringElement(Emgu.CV.CvEnum.ElementShape.Rectangle, new Size(3, 3), new Point(-1, -1));
CvInvoke.MorphologyEx(
this.ImageMat,
this.ImageMat,
Emgu.CV.CvEnum.MorphOp.Open,
kernelMat1,
new Point(-1, -1),
1, Emgu.CV.CvEnum.BorderType.Default,
new MCvScalar());
MainWindow.ImageProcessorExaminer.AddImage(ImageMat.CreateNewHardCopyFromMat(), "ImageProcessor_MorphologyEx_Open");
var kernelMat2 = CvInvoke.GetStructuringElement(Emgu.CV.CvEnum.ElementShape.Rectangle, new Size(7, 7), new Point(-1, -1));
CvInvoke.MorphologyEx(
this.ImageMat,
this.ImageMat,
Emgu.CV.CvEnum.MorphOp.Close,
kernelMat2,
new Point(-1, -1),
2,
Emgu.CV.CvEnum.BorderType.Default,
new MCvScalar());
MainWindow.ImageProcessorExaminer.AddImage(ImageMat.CreateNewHardCopyFromMat(), "ImageProcessor_MorphologyEx_Close");
//Get new contours find the correct ones by size and hierarchy draw them onto the img, draw bounding box, and length
CvInvoke.FindContours(this.ImageMat, Contours, hierarchy, Emgu.CV.CvEnum.RetrType.Tree, Emgu.CV.CvEnum.ChainApproxMethod.ChainApproxSimple);
//Empty out objects contours
ContoursToReturn = new VectorOfVectorOfPoint();
//Image to be overlayed, with alpha values
//ContourImageMat = new Mat(this.ImageMat.Rows, this.ImageMat.Cols, Emgu.CV.CvEnum.DepthType.Cv8U, 4);
ContourImageMat = OgImageMat.CreateNewHardCopyFromMat();
CvInvoke.CvtColor(ContourImageMat, ContourImageMat, ColorConversion.Gray2Bgr);
//ContourImageMat = new Mat(this.ImageMat.Rows, this.ImageMat.Cols, Emgu.CV.CvEnum.DepthType.Cv8U, 1);
//MainWindow.ImageProcessorExaminer.AddImage(ContourImageMat.CreateNewHardCopyFromMat(), "ImageProcessor_ContourImageMat");
dims = Contours.Size;
var tempVoVoPointF = new VectorOfVectorOfPointF();
for (var idx = 0; idx < dims; idx++)
{
var con = Contours[idx];
//Skip small patches
if (CvInvoke.ContourArea(con) < 300)
{
continue;
}
//Only use ones that have parents, so the inner ones
//https://stackoverflow.com/questions/41560048/c-sharp-emgu-cv-findcontours-hierarchy-data-always-null
//https://stackoverflow.com/questions/37408481/navigate-through-hierarchy-of-contours-found-by-findcontours-method/37470968#37470968
//http://www.emgu.com/forum/viewtopic.php?t=6333
//http://www.emgu.com/forum/viewtopic.php?f=7&t=5263
//https://stackoverrun.com/fr/q/11437249
if ((int)hierarchy.GetData().GetValue(0, idx, 3) < 0)
{
continue;
}
ContoursToReturn.Push(con);
//UprightBoundingRectangles.Add(CvInvoke.BoundingRectangle(con));
//CvInvoke.DrawContours(ContourImageMat, Contours, 0, new MCvScalar(0, 255, 0, 255), 2);
CvInvoke.DrawContours(ContourImageMat, Contours, -1, new MCvScalar(0, 255, 0, 255), 1);
var rect = CvInvoke.MinAreaRect(con);
var box = CvInvoke.BoxPoints(rect);
var boxVec = new VectorOfPointF(box);
tempVoVoPointF.Push(boxVec);
/*
* var rect = CvInvoke.MinAreaRect(con);
* //var box = CvInvoke.BoxPoints(rect);
* //VectorOfPointF boxVec = new VectorOfPointF(box);
* VectorOfVectorOfPoint boxVec = new VectorOfVectorOfPoint(con);
* //az jókérdés, hogy ez most a megfelelő alak-e vagy sem
* CvInvoke.DrawContours(ContourImageMat, boxVec, 0, new MCvScalar(0, 255, 0, 255), 2);
*/
}
MainWindow.ImageProcessorExaminer.AddImage(ContourImageMat.CreateNewHardCopyFromMat(), "ImageProcessor_ContourImageMat");
this.AngledBoundingBoxesToReturn = tempVoVoPointF.ConvertToVectorOfPoint();
MainWindow.ImageProcessorExaminer.AddImage(ContourImageMat.CreateNewHardCopyFromMat(), "ImageProcessor_ContourImageMat_2");
//CvInvoke.PutText(this.ImageMat, "{" + ContoursToReturn.Size + "}", new Point(100, 300), Emgu.CV.CvEnum.FontFace.HersheySimplex, 8.0, new MCvScalar(255), 5);
//this.DetectedCellCount = ContoursToReturn.Size;
//MainWindow.ImageProcessorExaminer.AddImage(ImageMat.CreateNewHardCopyFromMat(), "ImageProcessor_PutText");
//CvInvoke.EqualizeHist(this.ImageMat,this.ImageMat);
//new PopupImage(ImageMat, "ImgProcessor_ImageMat").Show();
//new PopupImage(ContourImageMat, "ImgProcessor_ContourImageMat").Show();
}
catch (Exception e)
{
MessageBox.Show(e.Message);
}
}