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); }