private Plate Clone()
{
Plate newPlate = null;
newPlate = new Plate(this.image);
return(newPlate);
}
public void ClearImage()
{
if (null != image)
{
Cv.ReleaseImage(image);
image = null;
}
if (null != plateCopy)
{
plateCopy.ClearImage();
plateCopy = null;
}
}
public void Normalize(Int32 method)
{
IplImage tempImage = null;
Plate clone1 = this.Clone();
VerticalEdgeDetector(clone1.GetImage);
//clone1.GetImage.SaveImage(@"C:\temp\newImages\newVerticalEdgeDetector.png");
PlateVerticalGraph vertical = clone1.HistogramYaxis(clone1.GetImage);
tempImage = CutTopBottom(image, vertical);
Cv.ReleaseImage(image);
image = tempImage;
// JIVAN
//plateCopy.image.SaveImage(@"C:\temp\newImages\newBEFOREVerticalCutTopBottom.png");
tempImage = CutTopBottom(plateCopy.image, vertical);
Cv.ReleaseImage(plateCopy.image);
plateCopy.image = tempImage;
// JIVAN
//plateCopy.image.SaveImage(@"C:\temp\newImages\newVerticalCutTopBottom.png");
Plate clone2 = this.Clone();
if (1 == horizontalDetectionType)
{
HorizontalEdgeDetector(clone2.GetImage);
//TODO JIVAN Remove these 2 lines when project gest done
//clone2.ClearImage();
//clone2 = new Plate(new IplImage(@"C:\temp\HorizontalEdgeDetector.png"));
//clone2.GetImage.SaveImage(@"C:\temp\newImages\newCloneHorizontalEdgeDetector.png");
}
PlateHorizontalGraph horizontal = clone1.HistogramXaxis(clone2.GetImage);
tempImage = CutLeftRight(image, horizontal, method);
Cv.ReleaseImage(image);
image = tempImage;
tempImage = CutLeftRight(plateCopy.image, horizontal, method);
Cv.ReleaseImage(plateCopy.image);
plateCopy.image = tempImage;
// JIVAN
//plateCopy.image.SaveImage(@"C:\temp\newImages\newHorizontalCutLeftRight.png");
clone2.ClearImage();
clone1.ClearImage();
}
public PlateGraph(Plate pHandle)
{
handle = pHandle;
}
public String ImageAnalysis(IplImage image, Int32 method)
{
String plateData = null;
Double plateWHratio;
Plate plate = null;
List <Char> chars = null;
try
{
plate = new Plate(image);
// JIVAN
//plate.SavePlateCopyImage(@"C:\temp\newImages\newImageAdaptativeThreshold1.png");
plate.Normalize(method);
plateWHratio = (Double)((Double)plate.GetWidth / (Double)plate.GetHeight);
if (plateWHratio < Constants.MIN_PLATE_WIDTH_HEIGHT_RATIO ||
plateWHratio > Constants.MAX_PLATE_WIDTH_HEIGHT_RATIO)
{
return(plateData);
}
// JIVAN
//plate.SavePlateCopyImage(@"C:\temp\newImages\newImageAdaptativeThreshold2.png");
chars = plate.GetChars();
// JIVAN
/*Int32 count2 =0;
* foreach(Char ch in chars)
* {
* ch.GetImage.SaveImage(String.Format(@"C:\temp\newImages\newBeforeNormImageCh{0}.png", count2));
* ch.GetThresholdedImage.SaveImage(String.Format(@"C:\temp\newImages\newImageThresholdedCh{0}.png", count2++));
* }
*/
if (chars.Count < Constants.INTELLIGENCE_MIN_CHARS ||
chars.Count > Constants.INTELLIGENCE_MAX_CHARS)
{
return(plateData);
}
if (plate.GetCharsWidthDispertion(chars) > Constants.INTELLIGENCE_MAX_CHAR_WIDTH_DISP)
{
return(plateData);
}
RecognizedPlate recognizedPlate = new RecognizedPlate();
//Int32 count =0;
foreach (Char ch in chars)
{
ch.Normalize();
// JIVAN
//ch.GetImage.SaveImage(String.Format(@"C:\temp\newImages\newNormImageCh{0}.png",count++));
}
Double averageHeight = plate.GetAveragePieceHeight(chars);
Double averageContrast = plate.GetAveragePieceContrast(chars);
Double averageBrightness = plate.GetAveragePieceBrightness(chars);
Double averageHue = plate.GetAveragePieceHue(chars);
Double averageSaturation = plate.GetAveragePieceSaturation(chars);
foreach (Char chr in chars)
{
Double widthHeightRatio = (Double)(chr.PieceWidth);
widthHeightRatio /= (Double)(chr.PieceHeight);
if (widthHeightRatio < Constants.INTELLIGENCE_MIN_CHAR_WIDTH_HEIGHT_RATIO ||
widthHeightRatio > Constants.INTELLIGENCE_MAX_CHAR_WIDTH_HEIGHT_RATIO)
{
continue;
}
if ((chr.PositionInPlate.X1 < 2 ||
chr.PositionInPlate.X2 > plate.GetWidth - 1) &&
widthHeightRatio < 0.12)
{
continue;
}
Double contrastCost = Math.Abs(chr.StatisticContrast - averageContrast);
Double brightnessCost = Math.Abs(chr.StatisticAverageBrightness - averageBrightness);
Double hueCost = Math.Abs(chr.StatisticAverageHue - averageHue);
Double saturationCost = Math.Abs(chr.StatisticAverageSaturation - averageSaturation);
Double heightCost = (chr.PieceHeight - averageHeight) / averageHeight;
if (brightnessCost > Constants.INTELLIGENCE_MAX_BRIGHTNESS_COST_DISPERSION)
{
continue;
}
if (contrastCost > Constants.INTELLIGENCE_MAX_CONTRAST_COST_DISPERSION)
{
continue;
}
if (hueCost > Constants.INTELLIGENCE_MAX_HUE_COST_DISPERSION)
{
continue;
}
if (saturationCost > Constants.INTELLIGENCE_MAX_SATURATION_COST_DISPERSION)
{
continue;
}
if (heightCost < -(Constants.INTELLIGENCE_MAX_HIGHT_COST_DISPERSION))
{
continue;
}
Double similarityCost = 0.0;
CharacterRecognizer.RecognizedChar rc = null;
rc = chrRecog.Recognize(chr);
similarityCost = rc.GetPatterns()[0].GetCost;
if (similarityCost <= Constants.INTELLIGENCE_MAX_SIMILARITY_COST_DISPERSION)
{
recognizedPlate.AddChar(rc);
}
}
if (recognizedPlate.GetChars.Count < Constants.INTELLIGENCE_MIN_CHARS)
{
return(plateData);
}
plateData = parser.Parse(recognizedPlate, Constants.INTELLIGENCE_SYNTAX_ANALYSIS_MODE);
}
finally
{
if (null != chars)
{
foreach (Char ch in chars)
{
ch.ClearImage();
}
}
if (null != plate)
{
plate.ClearImage();
}
}
return(plateData);
}
public PlateVerticalGraph(Plate pHandle)
{
handle = pHandle;
}
public PlateHorizontalGraph(Plate pHandle)
{
handle = pHandle;
}
public Plate(IplImage pImage)
{
image = pImage.Clone();
plateCopy = new Plate(image, true);
plateCopy.image = AdaptiveThresholding(plateCopy.image);
}
public Plate()
{
image = null; plateCopy = null;
}