private int DenoiseLoop()
{
int dt = 0;
curImage = CImageProvider.GetImage(out dt);
curImage = DenoiseMaster.Process(curImage);
return(dt);
}
private void CleanFilesLoop()
{
//int dt = 0;
//curImage = CImageProvider.GetImage(out dt);
curImage = CImageProvider.GetImage();
if (curImage == null)
{
; //поднять ивент о бяде или конце работы
}
curImage = DenoiseMaster.Process(curImage);
Intenisites = ImageParser.ApplyMask(curImage); // получаем словарь с данными интенсивностей нейронов
//NeuronProvider.AddValues(Intenisites, dt);
//NeuronProvider.AddValues(Intenisites);
}
public void StartProcessing()
{
int N = CImageProvider.TotalNumberOfImages;
curImage = CImageProvider.GetImage(0);
maskImage = MaskingMaster.Process(curImage);
ImageParser.PrepareImageParsingMethod(maskImage);
/*
* if (CurrentParams.doUseDenoiseOnly)
* {
* int time = 0;
* for (int i = 0; i < N; i++)
* {
* time = DenoiseLoop();
* curImage.Save(CurrentParams.PathToSaveFolder + "\\" + i.ToString() + "_" + time.ToString() + ".Png");
* }
* return;
* }
*
* if (CurrentParams.doUseCleanFiles)
* for (int i = 0; i < N; i++)
* {
* CleanFilesLoop();
* onNewImage(curImage);
* curImage.Save(@"" + i.ToString() + ".png");
* } */
Image <Gray, Byte> medianImage = new Image <Gray, byte>(@"C:\Users\Admin\Desktop\Антон\59 vanb\72\MED_Debug_2nd experiment work 72.png");
for (int i = 0; i < N; i++)
{
Loop(medianImage);
//curImage.Save(CurrentParams.PathToSaveFolder + i.ToString() + ".Png");
onNewImage(curImage);
}
MaskingMaster.GetMaskImage().Save(CurrentParams.PathToSaveFolder + "\\MaskImage.png");
List <NeuronBodyMask> NBML = MaskingMaster.GetListOfNeuronBodyMasks();
for (int i = 0; i < NBML.Count; i++)
{
NBML[i].BodyMask.Save(CurrentParams.PathToSaveFolder + "\\mask_" + i.ToString() + ".Png");
}
NeuronProvider.FinishSaving();
}
private void Loop(Image <Gray, Byte> backgroundImage)
{
int dt = 0;
curImage = CImageProvider.GetImage(out dt);
if (curImage == null)
{
return; //поднять ивент о бяде или конце работы
}
if (!CurrentParams.doUseCleanFiles)
{
curImage = DenoiseMaster.Process(curImage);
}
curImage = curImage - backgroundImage;
Intenisites = ImageParser.ApplyMask(curImage); // получаем словарь с данными интенсивностей нейронов
NeuronProvider.AddValues(Intenisites, dt);
//NeuronProvider.AddValues(Intenisites);
}
