private void SaveImage(string files, HImage ngImage)
{
if (ngImage == null || ngImage.IsInitialized() == false)
{
Util.WriteLog(this.GetType(), "异常图像数据丢失");
Util.Notify("异常图像数据丢失");
return;
}
HImage imgSave = ngImage.CopyImage();
Task.Run(() =>
{
try
{
FileInfo fi = new FileInfo(files);
if (!fi.Directory.Exists)
{
fi.Directory.Create();
}
imgSave.WriteImage("png", 0, files);
imgSave.Dispose();
}
catch (Exception ex)
{
Util.WriteLog(this.GetType(), ex);
Util.Notify(string.Format("相机{0}异常图像保存异常", settingIndex));
}
});
}
private void CoreOnNewImage(HImage hImage, Guid tmpSessionId)
{
lock (OnNewImageLock)
{
double startTime = HSystem.CountSeconds();
if (lastGrabImg[0] != null)
{
lastGrabImg[0].Dispose();
}
lastGrabImg[0] = hImage.CopyImage();
HImage rotateImage = hImage.RotateImage(new HTuple(rotazione[0]), "constant");
//HImage rotateImage = rotateImage_.MirrorImage("column");
//rotateImage_.Dispose();
hImage.Dispose();
cts = new CancellationTokenSource(Properties.Settings.Default.TimeoutAlgoritmo);
ArrayList iconicVarList;
ElaborateResult result;
ElaborateImage(rotateImage, cts, out iconicVarList, out result);
double tAnalisi = HSystem.CountSeconds();
tAnalisi = (tAnalisi - startTime) * 1000.0;
result.ElapsedTime = tAnalisi;
RaiseNewImageToDisplayEvent(iconicVarList, result);
}
}
private void SaveImage(string files, HImage ngImage)
{
if (ngImage == null || ngImage.IsInitialized() == false)
{
Util.WriteLog(this.GetType(), "异常图像数据丢失");
Util.Notify("异常图像数据丢失");
return;
}
HImage imgSave = ngImage.CopyImage();
Task.Run(() =>
{
try
{
FileInfo fi = new FileInfo(files);
if (!fi.Directory.Exists)
{
fi.Directory.Create();
}
Common.FileAct.FileManger.DeleteOverflowFile(Path.GetDirectoryName(files), IniStatus.Instance.NgImageCount);
imgSave.WriteImage("png", 0, files);
imgSave.Dispose();
}
catch (Exception ex)
{
Util.WriteLog(this.GetType(), ex);
Util.Notify(string.Format("相机{0}异常图像保存异常", settingIndex));
}
});
}
protected HImage RotateImage(HImage img)
{
HImage img1 = null;
switch (ImageAngle)
{
case ImageAngle.角度0:
img1 = img.CopyImage();
break;
case ImageAngle.角度90:
img1 = img.RotateImage((double)90, "constant");
break;
case ImageAngle.角度180:
img1 = img.RotateImage((double)180, "constant");
break;
case ImageAngle.角度270:
img1 = img.RotateImage((double)270, "constant");
break;
default:
break;
}
return(img1);
}
private void SaveImage(string files, HImage ngImage)
{
if (ngImage == null || ngImage.IsInitialized() == false)
{
return;
}
HImage imgSave = ngImage.CopyImage();
Task.Run(() =>
{
try
{
FileInfo fi = new FileInfo(files);
if (!fi.Directory.Exists)
{
fi.Directory.Create();
}
imgSave.WriteImage("png", 0, files);
imgSave.Dispose();
}
catch (Exception ex)
{
}
});
}
private void RunSingleCamera()
{
GlobalData globalData = GlobalData.GetIstance();
globalData.LastTryGrabLivello = DateTime.Now;
HImage imgGrabTmp = AcquisitionTask();
if (imgGrabTmp != null && imgGrabTmp.IsInitialized())
{
sessionId = Guid.NewGuid();
globalData.LastGrabLivello = DateTime.Now;
globalData.NumGrabLivello++;
lock (lastResultLock)
{
lastResult = null;
}
CoreOnNewImage(imgGrabTmp, sessionId);
EventHandler <HImage> ev = OnNewImageForRegolazioni;
if (ev != null)
{
HImage imgRegolazioni = imgGrabTmp.CopyImage();
Action action = () =>
{
ev(this, imgRegolazioni);
};
if (this.taskNewImageForRegolazioni == null)
{
this.taskNewImageForRegolazioni = Task.Run(action);
}
else
{
this.taskNewImageForRegolazioni = this.taskNewImageForRegolazioni.ContinueWith(k => action());
}
}
imgGrabTmp.Dispose();
}
//else
//{
// //Riarma la camera se è da 10 secondi che non grabba
// if (DateTime.Now - globalData.LastGrabLivello > TimeSpan.FromSeconds(10))
// {
// GrabImageStart(0);
// globalData.LastGrabImageStartLivello = DateTime.Now;
// }
// Thread.Sleep(1);
//}
}
private void UpdateUIAfterProcessingStep(HImage grabbedImage)
{
if (this.currentImage == null)
{
return;
}
currentImage = grabbedImage.CopyImage();
currentCameraStep.ProcessStep(currentImage);
UpdateImageWindow(currentImage);
UpdateChartUI(currentCameraStep);
}
public void ProcessStep(HImage imageGrabbed)
{
currentIVData.Image = imageGrabbed;
int imageChannels = imageGrabbed.CountChannels();
HImage rImg = null, gImg = null, bImg = null, rgbImg = null, irImg = null;
if (imageChannels == Properties.Settings.Default.NumberOfChannelsInIRAndRGBImage)
{
rImg = imageGrabbed.Decompose4(out gImg, out bImg, out irImg);
rgbImg = rImg.Compose3(gImg, bImg);
}
HImage grayImage = new HImage();
if (rgbImg == null)
{
return;
}
imageGrabbed = rgbImg.CopyImage();
lock (this.ImageToBeSaved)
{
this.ImageToBeSaved = imageGrabbed.CopyImage();
}
HImage ho_R;
HImage ho_G;
HImage ho_B;
ho_R = imageGrabbed.Decompose3(out ho_G, out ho_B);
HTuple RAOIGrayVals = Globals.GetGrayValuesOfLine(ho_R);
HTuple GAOIGrayVals = Globals.GetGrayValuesOfLine(ho_G);
HTuple BAOIGrayVals = Globals.GetGrayValuesOfLine(ho_B);
HTuple IRAOIGrayVals = Globals.GetGrayValuesOfLine(irImg);
currentIVData.GrayValues.RPlaneVals = RAOIGrayVals.ToDArr();
currentIVData.GrayValues.GPlaneVals = GAOIGrayVals.ToDArr();
currentIVData.GrayValues.BPlaneVals = BAOIGrayVals.ToDArr();
currentIVData.GrayValues.MPlaneVals = IRAOIGrayVals.ToDArr();
UpdateHistogramForImage();
}
/// <summary>
/// Converts a bitmap to a Halcon image.
/// </summary>
/// <param name="from">A bitmap to be converted to an HImage.</param>
/// <returns>An HImage converted from a Windows Bitmap.</returns>
/// <example> HImage imageFromBitmap = myBitmap.ToHImage(); .</example>
public static HImage ToHimage(this Bitmap from)
{
Contract.Requires(from != null);
Rectangle rectangle = new Rectangle(0, 0, from.Width, from.Height);
HImage interleavedHalconImage = new HImage();
// Convert 24 bit bitmap to 32 bit bitmap in order to ensure
// that the bit width of the image (the Stride) is divisible by four.
// Otherwise, one might obtain skewed conversions.
Bitmap image32 = new Bitmap(from.Width, from.Height, PixelFormat.Format32bppRgb);
image32.SetResolution(from.HorizontalResolution, from.VerticalResolution);
using (Graphics g = Graphics.FromImage(image32))
{
g.DrawImage(from, new Point(0, 0));
}
// Obtain the image pointer.
BitmapData bitmapData = image32.LockBits(rectangle, ImageLockMode.ReadOnly, PixelFormat.Format32bppRgb);
IntPtr pointerToBitmap = bitmapData.Scan0;
IntPtr pointerToPixels = pointerToBitmap;
// Create HALCON image from the pointer.
interleavedHalconImage.GenImageInterleaved(pointerToPixels, "bgrx", from.Width, from.Height, -1, "byte", from.Width, from.Height, 0, 0, -1, 0);
// Don't forget to unlock the bits again. ;-)
image32.UnlockBits(bitmapData);
HImage outputHalconImage = interleavedHalconImage.CopyImage();
// Release memory by dereferencing and garbage collection
interleavedHalconImage.Dispose();
image32.Dispose();
GC.Collect();
GC.WaitForPendingFinalizers();
return(outputHalconImage);
}
public void ProcessStep(HImage imageGrabbed)
{
HTuple startTime = null;
HTuple endTime = null;
HOperatorSet.CountSeconds(out startTime);
HOperatorSet.CountSeconds(out endTime);
currentOnCameraFFCData = new OnCameraFFCData();
try
{
int imageChannels = imageGrabbed.CountChannels();
HImage rImg = null, gImg = null, bImg = null, rgbImg = null, irImg = null;
if (imageChannels == Properties.Settings.Default.NumberOfChannelsInIRAndRGBImage)
{
rImg = imageGrabbed.Decompose4(out gImg, out bImg, out irImg);
rgbImg = rImg.Compose3(gImg, bImg);
}
HImage grayImage = new HImage();
if (rgbImg == null)
{
return;
}
imageGrabbed = rgbImg.CopyImage();
lock (this.ImageToBeSaved)
{
this.ImageToBeSaved = imageGrabbed.CopyImage();
}
// Feed the image to the script
imageGrabbed = imageGrabbed.CropDomain();
currentOnCameraFFCData.Image = imageGrabbed;
if (this.CameraAcquisition.CurrentNumberOfChannels == Properties.Settings.Default.NumberOfChannelsInIRAndRGBImage)
{
HImage ho_R;
HImage ho_G;
HImage ho_B;
ho_R = imageGrabbed.Decompose3(out ho_G, out ho_B);
HTuple RAOIGrayValues = Globals.GetGrayValuesOfLine(ho_R);
HTuple GAOIGrayValues = Globals.GetGrayValuesOfLine(ho_G);
HTuple BAOIGrayValues = Globals.GetGrayValuesOfLine(ho_B);
HTuple IRAOIGrayValues = Globals.GetGrayValuesOfLine(irImg);
currentOnCameraFFCData.GrayValues.RPlaneVals = RAOIGrayValues.ToDArr();
currentOnCameraFFCData.GrayValues.GPlaneVals = GAOIGrayValues.ToDArr();
currentOnCameraFFCData.GrayValues.BPlaneVals = BAOIGrayValues.ToDArr();
currentOnCameraFFCData.GrayValues.MPlaneVals = IRAOIGrayValues.ToDArr();
}
else if (this.CameraAcquisition.CurrentNumberOfChannels == Properties.Settings.Default.NumberOfChannelsInMonoImage)
{
HTuple AOIGrayValues = Globals.GetGrayValuesOfLine(imageGrabbed);
currentOnCameraFFCData.GrayValues.MPlaneVals = AOIGrayValues.ToDArr();
}
HOperatorSet.CountSeconds(out endTime);
currentOnCameraFFCData.TimeTaken = (endTime - startTime).D * 1000;
}
catch (Exception ex)
{
string errorMessage = "Exception occurred during On-Camera FFC step. ";
errorMessage = errorMessage + " Error Message: " + ex.Message;
MessageBox.Show(errorMessage, "Camera Setup Tool", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
}
public void ProcessStep(HImage imageGrabbed)
{
HTuple startTime = null;
HTuple endTime = null;
HOperatorSet.CountSeconds(out startTime);
HOperatorSet.CountSeconds(out endTime);
currentLSAData = new LightStickAlignmentData();
HImage imageCropped = new HImage();
try
{
int imageChannels = imageGrabbed.CountChannels();
HImage rImg = null, gImg = null, bImg = null, rgbImg = null, irImg = null;
if (imageChannels == Properties.Settings.Default.NumberOfChannelsInIRAndRGBImage)
{
rImg = imageGrabbed.Decompose4(out gImg, out bImg, out irImg);
rgbImg = rImg.Compose3(gImg, bImg);
}
HImage grayImage = new HImage();
if (rgbImg == null)
{
return;
}
imageGrabbed = rgbImg.CopyImage();
int presentImageNoOfChannels = imageGrabbed.CountChannels();
lock (this.ImageToBeSaved)
{
this.ImageToBeSaved = imageGrabbed.CopyImage();
}
// Feed the image to the script
imageGrabbed = imageGrabbed.CropDomain();
currentLSAData.Image = imageGrabbed;
if (imageChannels == Properties.Settings.Default.NumberOfChannelsInIRAndRGBImage)
{
HImage ho_R;
HImage ho_G;
HImage ho_B;
ho_R = imageGrabbed.Decompose3(out ho_G, out ho_B);
HTuple RAOIGrayValues = Globals.GetGrayValuesOfLine(ho_R);
HTuple GAOIGrayValues = Globals.GetGrayValuesOfLine(ho_G);
HTuple BAOIGrayValues = Globals.GetGrayValuesOfLine(ho_B);
HTuple IRAOIGrayVals = Globals.GetGrayValuesOfLine(irImg);
currentLSAData.GrayValues.RPlaneVals = RAOIGrayValues.ToDArr();
currentLSAData.GrayValues.GPlaneVals = GAOIGrayValues.ToDArr();
currentLSAData.GrayValues.BPlaneVals = BAOIGrayValues.ToDArr();
currentLSAData.GrayValues.MPlaneVals = IRAOIGrayVals.ToDArr();
imageCropped = imageGrabbed.CropPart((this.CameraAcquisition.CurrentImageHeight / 2) - Properties.Settings.Default.LICROIRectangleHeight,
(this.CameraAcquisition.CurrentImageWidth / 2) - Properties.Settings.Default.LICROIRectangleWidth,
Properties.Settings.Default.LICROIRectangleWidth * 2,
(this.CameraAcquisition.CurrentImageHeight / 2));
ho_R = imageCropped.Decompose3(out ho_G, out ho_B);
RAOIGrayValues = Globals.GetGrayValuesOfLine(ho_R);
// Clipping the pixels at Left & Right of the line
RAOIGrayValues = RAOIGrayValues.TupleSelectRange(
this.cameraAcquisition.CurrentCameraProperties.NumberOfPixelsToBeClippedAtLeft,
(Properties.Settings.Default.LICROIRectangleWidth * 2) - this.cameraAcquisition.CurrentCameraProperties.NumberOfPixelsToBeClippedAtRight);
// Update the labels showing the results of light uniformity check
int RminGrayValue;
int RmaxGrayValue;
// Checking whether the gray values is within the defined range in RED plane
bool RPlaneOptimum = this.cameraAcquisition.IsLightIntensityLevelOptimum(RAOIGrayValues.ToDArr(), out RminGrayValue, out RmaxGrayValue);
currentLSAData.MinGrayValue = RminGrayValue;
currentLSAData.MaxGrayValue = RmaxGrayValue;
currentLSAData.Status = RPlaneOptimum;
}
else if (this.cameraAcquisition.CurrentNumberOfChannels == Properties.Settings.Default.NumberOfChannelsInMonoImage)
{
HTuple AOIGrayValues = Globals.GetGrayValuesOfLine(imageGrabbed);
currentLSAData.GrayValues.MPlaneVals = AOIGrayValues.ToDArr();
// Clipping the pixels at Left & Right of the line
AOIGrayValues = AOIGrayValues.TupleSelectRange(
this.cameraAcquisition.CurrentCameraProperties.NumberOfPixelsToBeClippedAtLeft,
this.cameraAcquisition.CurrentImageWidth - this.cameraAcquisition.CurrentCameraProperties.NumberOfPixelsToBeClippedAtRight);
// Update the labels showing the results of light uniformity check
int minGrayValue;
int maxGrayValue;
// Checking whether the gray values is within the defined range in MONO plane
bool MonoPlaneOptimum = this.cameraAcquisition.IsLightIntensityLevelOptimum(AOIGrayValues.ToDArr(), out minGrayValue, out maxGrayValue);
currentLSAData.MinGrayValue = minGrayValue;
currentLSAData.MaxGrayValue = maxGrayValue;
currentLSAData.Status = MonoPlaneOptimum;
}
HOperatorSet.CountSeconds(out endTime);
currentLSAData.TimeTaken = (endTime - startTime).D * 1000;
this.BeginInvoke(new Action(UpdateStepUI));
}
catch (Exception ex)
{
string errorMessage = "Exception occurred during light intensity check. ";
errorMessage = errorMessage + " Error Message: " + ex.Message;
//MessageBox.Show(errorMessage, "Camera Setup Tool", MessageBoxButtons.OK, MessageBoxIcon.Error);
this.BeginInvoke(new Action(UpdateStepUI));
//lblStatus.Text = errorMessage;
//lblStatus.BackColor = Color.Red;
}
}
public void ProcessStep(HImage imageGrabbed)
{
currentFMCData = new FocusMagnificationCheckData();
lock (this.ImageToBeSaved)
{
this.ImageToBeSaved = imageGrabbed.CopyImage();
}
bool calibrationTargetContrastOK = true;
// Feed the image to the script
imageGrabbed = imageGrabbed.CropDomain();
currentFMCData.Image = imageGrabbed;
int imageChannels = imageGrabbed.CountChannels();
HImage rImg = null, gImg = null, bImg = null, rgbImg = null, irImg = null;
if (imageChannels == Properties.Settings.Default.NumberOfChannelsInIRAndRGBImage)
{
rImg = imageGrabbed.Decompose4(out gImg, out bImg, out irImg);
rgbImg = rImg.Compose3(gImg, bImg);
}
HImage grayImage = new HImage();
if (rgbImg == null)
{
return;
}
imageGrabbed = rgbImg.CopyImage();
#region IntensityCheckForCheckingCalibrationTarget
// Check the minimum and maximum light intensity to determine whether correct calibration target
// has been placed
grayImage = imageGrabbed.Rgb1ToGray();
HImage ho_R;
HImage ho_G;
HImage ho_B;
ho_R = imageGrabbed.Decompose3(out ho_G, out ho_B);
HTuple RAOIGrayVals = Globals.GetGrayValuesOfLine(ho_R);
HTuple GAOIGrayVals = Globals.GetGrayValuesOfLine(ho_G);
HTuple BAOIGrayVals = Globals.GetGrayValuesOfLine(ho_B);
HTuple IRAOIGrayVals = Globals.GetGrayValuesOfLine(irImg);
currentFMCData.GrayValues.RPlaneVals = RAOIGrayVals.ToDArr();
currentFMCData.GrayValues.GPlaneVals = GAOIGrayVals.ToDArr();
currentFMCData.GrayValues.BPlaneVals = BAOIGrayVals.ToDArr();
currentFMCData.GrayValues.MPlaneVals = IRAOIGrayVals.ToDArr();
int RPlaneMinValue;
int RPlaneMaxValue;
RAOIGrayVals = RAOIGrayVals.TupleSelectRange(this.CameraAcquisition.CurrentCameraProperties.NumberOfPixelsToBeClippedAtLeft,
this.CameraAcquisition.CurrentImageWidth - this.CameraAcquisition.CurrentCameraProperties.NumberOfPixelsToBeClippedAtRight);
calibrationTargetContrastOK = this.CameraAcquisition.IsLightIntensityLevelOptimum(GAOIGrayVals.ToDArr(), out RPlaneMinValue, out RPlaneMaxValue);
calibrationTargetContrastOK = (RPlaneMaxValue - RPlaneMinValue) > Properties.Settings.Default.FocusPatternCheckReferenceGrayValue;
#endregion
#region FindPatternArea
//Finds the pattern area
HImage reducedImage = Globals.FindPatternArea(grayImage);
if (reducedImage == null)
{
SetFocusStatusMessage("Image is too dark or Incorrect Pattern", Color.Red);
currentFMCData.FocusPercentage = "";
currentFMCData.MagnificationPercentage = "";
currentFMCData.PixelResolution = "";
//this.BeginInvoke(new Action<FocusMagnificationCheckData>(UpdateFocusMagnificationStepUI), currentFMCData);
return;
}
#endregion
#region Focus Learning
hv_focus = new HTuple();
HTuple hv_currentSharpness = new HTuple();
HImage imageCropped = new HImage();
//Indicates that execution has entered the focus learning stage
//(For both successful and failed learning)
bool focusLearningDone = false;
if (this.focusLearningStarted)
{
#region FocusLearningStage
focusLearningDone = true;
if (!this.focusLearningOver)
{
HTuple hv_Scale;
HTuple hv_Subsampling = 1;
hv_Scale = 1.0 / hv_Subsampling;
int grabbedImageWidth, grabbedImageHeight;
imageGrabbed.GetImageSize(out grabbedImageWidth, out grabbedImageHeight);
// Crop the image before learning
imageCropped = imageGrabbed.CropPart((this.CameraAcquisition.CurrentImageHeight / 2) - Properties.Settings.Default.FocusROIRectangleHeight,
(this.CameraAcquisition.CurrentImageWidth / 2) - Properties.Settings.Default.FocusROIRectangleWidth,
Properties.Settings.Default.FocusROIRectangleWidth * 2,
(this.CameraAcquisition.CurrentImageHeight / 2));
int croppedImageWidth, croppedImageHeight;
imageCropped.GetImageSize(out croppedImageWidth, out croppedImageHeight);
int noOfSamples = croppedImageHeight / Properties.Settings.Default.NoOfSamplesUsedInFocusStep;
for (int i = 0; i < Properties.Settings.Default.NoOfSamplesUsedInFocusStep; i++)
{
try
{
int row = i * noOfSamples;
HImage newCroppedImage = imageCropped.CopyImage().CropPart(row, 0, croppedImageWidth, noOfSamples);
//newCroppedImage.WriteImage("bmp", 0, "D:\\imageCropped" + i.ToString());
// Function Call for sharpness Measurement
hv_currentSharpness = MeasureSharpness(newCroppedImage, hv_Scale);
hv_AutoCorrelationTuple = hv_AutoCorrelationTuple.TupleConcat(hv_currentSharpness);
}
catch (Exception ex)
{
}
}
currentFMCData.FocusPercentage = "";
SetFocusStatusMessage("Learning...", Color.Yellow);
UpdateLabelMessage(currentFMCData.FocusPercentage);
}
else
{
hv_MaxAutoCorrelation = new HTuple();
HTuple hv_Change = new HTuple();
if (hv_AutoCorrelationTuple.TupleLength() > 0)
{
hv_MaxAutoCorrelation = hv_AutoCorrelationTuple.TupleMax();
hv_Change = ((hv_AutoCorrelationTuple.TupleMax() - hv_AutoCorrelationTuple.TupleMin()) / hv_AutoCorrelationTuple.TupleMax()) * 100;
if (hv_MaxAutoCorrelation.D <= 0.0 || hv_Change.D < Properties.Settings.Default.MinimumFocusLearningRangeRequired)
{
currentFMCData.FocusPercentage = "";
SetFocusStatusMessage("Focus Learning not done properly. Range of focus learning is not enough.", Color.Orange);
this.focusLearningOver = false;
UpdateLabelMessage(currentFMCData.FocusPercentage);
}
else
{
this.CameraAcquisition.CurrentCameraSetupProperties.FocusMaxAutoCorrelationValue = hv_MaxAutoCorrelation.D;
}
}
else
{
currentFMCData.FocusPercentage = "";
SetFocusStatusMessage("Focus Learning not done properly. Sharpness measurement failed", Color.Orange);
this.focusLearningOver = false;
UpdateLabelMessage(currentFMCData.FocusPercentage);
}
this.focusLearningStarted = false;
}
#endregion
}
else if (this.focusLearningOver)
{
#region FocusTestingPhase
if (!calibrationTargetContrastOK)
{
currentFMCData.FocusPercentage = "";
currentFMCData.MagnificationPercentage = "";
currentFMCData.PixelResolution = "";
SetFocusStatusMessage("Incorrect Pattern. Not enough contrast", Color.Red);
UpdateLabelMessage(currentFMCData.FocusPercentage);
return;
}
HTuple hv_Scale;
HTuple hv_Subsampling = 1;
hv_Scale = 1.0 / hv_Subsampling;
// Crop the image before learning
imageCropped = imageGrabbed.CropPart((this.CameraAcquisition.CurrentImageHeight / 2) - Properties.Settings.Default.FocusROIRectangleHeight,
(this.CameraAcquisition.CurrentImageWidth / 2) - Properties.Settings.Default.FocusROIRectangleWidth,
Properties.Settings.Default.FocusROIRectangleWidth * 2,
(this.CameraAcquisition.CurrentImageHeight / 2));
// Function Call for sharpness Measurement
hv_currentSharpness = MeasureSharpness(imageCropped, hv_Scale);
if (hv_currentSharpness > hv_MaxAutoCorrelation + 2)
{
SetFocusStatusMessage("Current sharpness is more than learnt sharpness. Insert valid calibration doc or Re-do focus learning !!", Color.Orange);
currentFMCData.PixelResolution = "";
currentFMCData.MagnificationPercentage = "";
currentFMCData.FocusPercentage = "";
UpdateLabelMessage(currentFMCData.FocusPercentage);
return;
}
else if (hv_currentSharpness > hv_MaxAutoCorrelation)
{
hv_MaxAutoCorrelation = hv_currentSharpness;
hv_AutoCorrelationTuple = hv_AutoCorrelationTuple.TupleConcat(hv_currentSharpness);
}
hv_focus = 100 - (((hv_MaxAutoCorrelation - hv_currentSharpness) / hv_MaxAutoCorrelation) * 100);
hv_focus = hv_focus.TupleRound();
currentFMCData.FocusPercentage = hv_focus.ToString();
if (hv_focus > 100)
{
// Not Focused
currentFMCData.FocusPercentage = "";
SetFocusStatusMessage("Focus learning not done properly", Color.Red);
UpdateLabelMessage(currentFMCData.FocusPercentage);
}
if (hv_focus >= 95 && hv_focus <= 100)
{
// Focused
SetFocusStatusMessage("Focused", Color.LimeGreen);
}
else if (hv_focus > 70 && hv_focus < 95)
{
//// Fine Tuning is required
SetFocusStatusMessage("Fine Tuning is required", Color.Yellow);
}
else
{
// Not Focused
SetFocusStatusMessage("Not focused", Color.Red);
}
#endregion
}
else if (!focusLearningOver && !focusLearningDone)
{
if (hv_MaxAutoCorrelation == null)
{
SetFocusStatusMessage("Focus learning not done", Color.Yellow);
}
}
UpdateLabelMessage(currentFMCData.FocusPercentage);
#endregion
}
public void ProcessStep(HImage imageGrabbed)
{
try
{
HTuple startTime = null;
HTuple endTime = null;
HOperatorSet.CountSeconds(out startTime);
int imageChannels = imageGrabbed.CountChannels();
HImage rImg = null, gImg = null, bImg = null, rgbImg = null, irImg = null;
if (imageChannels == 6)
{
rImg = imageGrabbed.Decompose4(out gImg, out bImg, out irImg);
rgbImg = rImg.Compose3(gImg, bImg);
}
HImage grayImage = new HImage();
if (rgbImg == null)
{
return;
}
imageGrabbed = rgbImg.CopyImage();
int presentImageNoOfChannels = imageGrabbed.CountChannels();
if (presentImageNoOfChannels == Properties.Settings.Default.NumberOfChannelsInColorImage)
{
lock (this.ImageToBeSaved)
{
this.ImageToBeSaved = imageGrabbed.CopyImage();
}
if (whitebalancingStarted)
{
wbIterationCompletedEvent.Reset();
}
imageGrabbedEvent.Set();
HImage ho_R;
HImage ho_G;
HImage ho_B;
ho_R = imageGrabbed.Decompose3(out ho_G, out ho_B);
HTuple RAOIGrayVals = Globals.GetGrayValuesOfLine(ho_R);
HTuple GAOIGrayVals = Globals.GetGrayValuesOfLine(ho_G);
HTuple BAOIGrayVals = Globals.GetGrayValuesOfLine(ho_B);
HTuple IRAOIGrayVals = Globals.GetGrayValuesOfLine(irImg);
currentWBData.Image = imageGrabbed;
currentWBData.GrayValues.RPlaneVals = RAOIGrayVals.ToDArr();
currentWBData.GrayValues.GPlaneVals = GAOIGrayVals.ToDArr();
currentWBData.GrayValues.BPlaneVals = BAOIGrayVals.ToDArr();
currentWBData.GrayValues.MPlaneVals = IRAOIGrayVals.ToDArr();
HImage ho_GrayImage;
ho_GrayImage = imageGrabbed.Rgb1ToGray();
HRegion whiteRegion = ho_GrayImage.Threshold(
Properties.Settings.Default.MinThresholdInDeterminingGain,
Properties.Settings.Default.MaxThresholdInDeterminingGain);
whiteRegion = whiteRegion.FillUp();
whiteRegion = whiteRegion.ErosionRectangle1(20, 20);
double rClipValue = 15.0;
double gClipValue = 15.0;
double bClipValue = 15.0;
//CalculateOptimumClipValue(whiteRegion, ho_R, out rClipValue);
//CalculateOptimumClipValue(whiteRegion, ho_G, out gClipValue);
//CalculateOptimumClipValue(whiteRegion, ho_B, out bClipValue);
double rMin, rMax, rRange;
double gMin, gMax, gRange;
double bMin, bMax, bRange;
ho_R.MinMaxGray(whiteRegion, rClipValue, out rMin, out rMax,
out rRange);
ho_G.MinMaxGray(whiteRegion, gClipValue, out gMin, out gMax,
out gRange);
ho_B.MinMaxGray(whiteRegion, bClipValue, out bMin, out bMax,
out bRange);
double RGDiff = rMax - gMax;
double GBDiff = gMax - bMax;
double BRDiff = bMax - rMax;
currentWBData.ErrorLevel = (Math.Max(RGDiff, Math.Max(GBDiff, BRDiff)) / this.CameraAcquisition.CurrentCameraProperties.BrightRegionReferenceGrayLevel) * 100;
currentWBData.RedMax = rMax;
currentWBData.GreenMax = gMax;
currentWBData.BlueMax = bMax;
HOperatorSet.CountSeconds(out endTime);
currentWBData.TimeTaken = (endTime - startTime).D;
UpdateControlUI();
wbIterationCompletedEvent.WaitOne();
}
}
catch (Exception ex)
{
string errorMessage = "Exception occurred during white balancing step. ";
errorMessage = errorMessage + " Error Message: " + ex.Message;
MessageBox.Show(errorMessage, "Camera Setup Tool", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
}
