public HSV888Image(HSV888Image image) : this(VisionLabPINVOKE.new_HSV888Image__SWIG_3(HSV888Image.getCPtr(image)), true)
{
if (VisionLabPINVOKE.SWIGPendingException.Pending)
{
throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
}
/* Description:
* Find the largest license plate in the image
* - Segment using ThresholdHSVchannels
* - Remove blobs which are not license plates
* Input:
* //Original image
* RGB888Image plateImage
* Output:
* //Segmented license plate
* ref Int32Image binaryPlateImage
* Return:
* //License plate found?
* bool
*/
public static bool FindPlate(RGB888Image plateImage, ref Int32Image binaryPlateImage)
{
//Constants
const int c_threshold_h_min = 21;
const int c_threshold_h_max = 50;
const int c_threshold_s_min = 100;
const int c_threshold_s_max = 255;
const int c_threshold_v_min = 100;
const int c_threshold_v_max = 255;
const int c_remove_blobs_min = 1;
const int c_remove_blobs_max = 5000;
//*******************************//
//** Exercise: **//
//** adjust licenseplate **//
//** segmentation **//
//*******************************//
//Find licenseplate
HSV888Image plateImageHSV = new HSV888Image();
//Convert to RGB to HSV
VisionLab.FastRGBToHSV(plateImage, plateImageHSV);
//Threshold HSV image
VisionLab.Threshold3Channels(plateImageHSV, binaryPlateImage, c_threshold_h_min, c_threshold_h_max, c_threshold_s_min, c_threshold_s_max, c_threshold_v_min, c_threshold_v_max);
//Remove blobs with small areas
VisionLab.RemoveBlobs(binaryPlateImage, Connected.EightConnected, BlobAnalyse.BA_Area, c_remove_blobs_min, c_remove_blobs_max);
plateImageHSV.Dispose();
//GC.Collect();
//Return true, if pixels found
return(VisionLab.SumIntPixels(binaryPlateImage) > 0);
}
public virtual void SnapShot(HSV888Image image)
{
VisionLabPINVOKE.Camera_HSV8_SnapShot__SWIG_1(swigCPtr, HSV888Image.getCPtr(image));
if (VisionLabPINVOKE.SWIGPendingException.Pending)
{
throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
}
public double TrainImage(double learnRate, double momentum, HSV888Image image, int classNr)
{
double ret = VisionLabPINVOKE.BPN_ImageClassifier_HSV8_TrainImage(swigCPtr, learnRate, momentum, HSV888Image.getCPtr(image), classNr);
if (VisionLabPINVOKE.SWIGPendingException.Pending)
{
throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
return(ret);
}
public double EvaluateImage(HSV888Image image, int classExp, ref int classRes, ref double confidency, vector_double output)
{
double ret = VisionLabPINVOKE.BPN_ImageClassifier_HSV8_EvaluateImage(swigCPtr, HSV888Image.getCPtr(image), classExp, ref classRes, ref confidency, vector_double.getCPtr(output));
if (VisionLabPINVOKE.SWIGPendingException.Pending)
{
throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
return(ret);
}
public double ClassifyOutputTab(HSV888Image image, vector_ClassOutput outputTab)
{
double ret = VisionLabPINVOKE.BPN_ImageClassifier_HSV8_ClassifyOutputTab(swigCPtr, HSV888Image.getCPtr(image), vector_ClassOutput.getCPtr(outputTab));
if (VisionLabPINVOKE.SWIGPendingException.Pending)
{
throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
return(ret);
}
public int Classify(HSV888Image image, ref double confidency)
{
int ret = VisionLabPINVOKE.BPN_ImageClassifier_HSV8_Classify(swigCPtr, HSV888Image.getCPtr(image), ref confidency);
if (VisionLabPINVOKE.SWIGPendingException.Pending)
{
throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
return(ret);
}
public int AddImage(string className, HSV888Image image)
{
int ret = VisionLabPINVOKE.ClassFeatureSet_HSV8_AddImage(swigCPtr, className, HSV888Image.getCPtr(image));
if (VisionLabPINVOKE.SWIGPendingException.Pending)
{
throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
return(ret);
}
public HSV888Image GetImage(string className, int imageIndex)
{
HSV888Image ret = new HSV888Image(VisionLabPINVOKE.ClassFeatureSet_HSV8_GetImage(swigCPtr, className, imageIndex), false);
if (VisionLabPINVOKE.SWIGPendingException.Pending)
{
throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
return(ret);
}
public bool GetImage(string imageName, HSV888Image image)
{
bool ret = VisionLabPINVOKE.VisLibCmdInt_GetImage__SWIG_9(swigCPtr, imageName, HSV888Image.getCPtr(image));
if (VisionLabPINVOKE.SWIGPendingException.Pending)
{
throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
return(ret);
}
/*
* Description:
* Find the largest license plate in the image
* - Segment using ThresholdHSVchannels
* - Remove blobs which are not license plates
* Input:
* //Original image
* RGB888Image plateImage
* Output:
* //Segmented license plate
* ref Int32Image binaryPlateImage
* Return:
* //License plate found?
* bool
*/
public static bool FindPlate(RGB888Image plateImage, ref Int32Image binaryPlateImage)
{
try
{
//Constants
const int c_threshold_h_min = 14;
const int c_threshold_h_max = 50;
const int c_threshold_s_min = 100;
const int c_threshold_s_max = 255;
const int c_threshold_v_min = 46;
const int c_threshold_v_max = 255;
//*******************************//
//** Exercise: **//
//** adjust licenseplate **//
//** segmentation **//
//*******************************//
//Find licenseplate
HSV888Image plateImageHSV = new HSV888Image();
//Convert to RGB to HSV
VisionLab.FastRGBToHSV(plateImage, plateImageHSV);
//Threshold HSV image
VisionLab.Threshold3Channels(plateImageHSV, binaryPlateImage, c_threshold_h_min, c_threshold_h_max, c_threshold_s_min, c_threshold_s_max, c_threshold_v_min, c_threshold_v_max);
VisionLab.LabelBlobs(binaryPlateImage, Connected.EightConnected);
VisionLab.RemoveBlobs(binaryPlateImage, Connected.EightConnected, BlobAnalyse.BA_LengthBreadthRatio, 0.0, 2.50);
VisionLab.RemoveBlobs(binaryPlateImage, Connected.EightConnected, BlobAnalyse.BA_LengthBreadthRatio, 10.0, 9999.0);
//Remove blobs with small areas
VisionLab.RemoveBlobs(binaryPlateImage, Connected.EightConnected, BlobAnalyse.BA_Area, 1, 1000, UseXOrY.UseX);
//VisionLab.RemoveBlobs(binaryPlateImage, Connected.EightConnected, BlobAnalyse.BA_Area, 80000, 120000);
//Fill up characters
VisionLab.FillHoles(binaryPlateImage, Connected.EightConnected);
plateImageHSV.Dispose();
//Return true, if pixels found
return(VisionLab.SumIntPixels(binaryPlateImage) > 0);
}
catch (System.Exception ex)
{
throw new Exception("FindPlate: " + ex.Message);
}
}
public static void Zoom(HSV888Image src, HSV888Image dest, double factorX, double factorY, PixelInterpolation pi) {
VisionLabPINVOKE.Zoom__SWIG_38(HSV888Image.getCPtr(src), HSV888Image.getCPtr(dest), factorX, factorY, (int)pi);
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
internal static global::System.Runtime.InteropServices.HandleRef getCPtr(HSV888Image obj)
{
return((obj == null) ? new global::System.Runtime.InteropServices.HandleRef(null, global::System.IntPtr.Zero) : obj.swigCPtr);
}
public double ClassifyOutputTab(HSV888Image image, vector_ClassOutput outputTab) {
double ret = VisionLabPINVOKE.BPN_ImageClassifier_HSV8_ClassifyOutputTab(swigCPtr, HSV888Image.getCPtr(image), vector_ClassOutput.getCPtr(outputTab));
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
return ret;
}
public double TrainImage(double learnRate, double momentum, HSV888Image image, int classNr) {
double ret = VisionLabPINVOKE.BPN_ImageClassifier_HSV8_TrainImage(swigCPtr, learnRate, momentum, HSV888Image.getCPtr(image), classNr);
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
return ret;
}
public static int CountPixel(HSV888Image image, HSV888Pixel value) {
int ret = VisionLabPINVOKE.CountPixel__SWIG_9(HSV888Image.getCPtr(image), HSV888Pixel.getCPtr(value));
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
return ret;
}
public static void FastRGBToHSV(RGB888Image src, HSV888Image dest) {
VisionLabPINVOKE.FastRGBToHSV(RGB888Image.getCPtr(src), HSV888Image.getCPtr(dest));
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
public static void AddBorder(HSV888Image src, HSV888Image dest, int top, int left, int right, int bottom, HSV888Pixel value) {
VisionLabPINVOKE.AddBorder__SWIG_9(HSV888Image.getCPtr(src), HSV888Image.getCPtr(dest), top, left, right, bottom, HSV888Pixel.getCPtr(value));
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
public static void NormaliseHue(HSV888Image src, byte hue, byte minVal, byte minSat, FloatImage dest) {
VisionLabPINVOKE.NormaliseHue__SWIG_7(HSV888Image.getCPtr(src), hue, minVal, minSat, FloatImage.getCPtr(dest));
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
public static void Threshold3Channels(HSV888Image image, DoubleImage thresImage, int lowChan1, int highChan1, int lowChan2, int highChan2, int lowChan3, int highChan3) {
VisionLabPINVOKE.Threshold3Channels__SWIG_18(HSV888Image.getCPtr(image), DoubleImage.getCPtr(thresImage), lowChan1, highChan1, lowChan2, highChan2, lowChan3, highChan3);
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
public static void Extract3Channels(HSV888Image image, DoubleImage chan1, DoubleImage chan2, DoubleImage chan3) {
VisionLabPINVOKE.Extract3Channels__SWIG_18(HSV888Image.getCPtr(image), DoubleImage.getCPtr(chan1), DoubleImage.getCPtr(chan2), DoubleImage.getCPtr(chan3));
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
public static void ConvertToFalseColor(DoubleImage src, HSV888Image lut, HSV888Image dest) {
VisionLabPINVOKE.ConvertToFalseColor__SWIG_18(DoubleImage.getCPtr(src), HSV888Image.getCPtr(lut), HSV888Image.getCPtr(dest));
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
public static void Zoom(HSV888Image src, HSV888Image dest, HeightWidth hw, PixelInterpolation pi) {
VisionLabPINVOKE.Zoom__SWIG_39(HSV888Image.getCPtr(src), HSV888Image.getCPtr(dest), HeightWidth.getCPtr(hw), (int)pi);
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
internal static HandleRef getCPtr(HSV888Image obj)
{
return((obj == null) ? new HandleRef(null, IntPtr.Zero) : obj.swigCPtr);
}
public static void TextOnImage(HSV888Image image, int left, int top, string font, string text) {
VisionLabPINVOKE.TextOnImage__SWIG_9(HSV888Image.getCPtr(image), left, top, font, text);
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
public static void ROIR(HSV888Image src, HSV888Image dest, XYCoord middle, XYCoord endpoint1, XYCoord endpoint2, Orientation orien, PixelInterpolation pi) {
VisionLabPINVOKE.ROIR__SWIG_39(HSV888Image.getCPtr(src), HSV888Image.getCPtr(dest), XYCoord.getCPtr(middle), XYCoord.getCPtr(endpoint1), XYCoord.getCPtr(endpoint2), (int)orien, (int)pi);
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
public static void Extract1Channel(HSV888Image image, int chanNr, DoubleImage chan) {
VisionLabPINVOKE.Extract1Channel__SWIG_24(HSV888Image.getCPtr(image), chanNr, DoubleImage.getCPtr(chan));
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
public static void Rotate(HSV888Image src, HSV888Image dest, XYCoord centre, double phi, HSV888Pixel borderValue, PixelInterpolation pi) {
VisionLabPINVOKE.Rotate__SWIG_19(HSV888Image.getCPtr(src), HSV888Image.getCPtr(dest), XYCoord.getCPtr(centre), phi, HSV888Pixel.getCPtr(borderValue), (int)pi);
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
public static void Merge3Channels(DoubleImage chan1, DoubleImage chan2, DoubleImage chan3, HSV888Image image) {
VisionLabPINVOKE.Merge3Channels__SWIG_18(DoubleImage.getCPtr(chan1), DoubleImage.getCPtr(chan2), DoubleImage.getCPtr(chan3), HSV888Image.getCPtr(image));
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
public static XYCoord RotateFull(HSV888Image src, HSV888Image dest, double phi, HSV888Pixel borderValue, PixelInterpolation pi) {
XYCoord ret = new XYCoord(VisionLabPINVOKE.RotateFull__SWIG_19(HSV888Image.getCPtr(src), HSV888Image.getCPtr(dest), phi, HSV888Pixel.getCPtr(borderValue), (int)pi), true);
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
return ret;
}
public static void Extract1Channel(HSV888Image image, HSVColor plane, DoubleImage chan) {
VisionLabPINVOKE.Extract1Channel__SWIG_77(HSV888Image.getCPtr(image), (int)plane, DoubleImage.getCPtr(chan));
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
public static void SetBorders(HSV888Image image, HSV888Pixel value) {
VisionLabPINVOKE.SetBorders__SWIG_19(HSV888Image.getCPtr(image), HSV888Pixel.getCPtr(value));
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
public static void ConvertHSV161616To888Image(HSV161616Image src, HSV888Image dest) {
VisionLabPINVOKE.ConvertHSV161616To888Image(HSV161616Image.getCPtr(src), HSV888Image.getCPtr(dest));
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
public static void SwapQuadrants(HSV888Image src, HSV888Image dest) {
VisionLabPINVOKE.SwapQuadrants__SWIG_9(HSV888Image.getCPtr(src), HSV888Image.getCPtr(dest));
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
public static void BlockPattern(HSV888Image image, XYCoord leftTop, int height, int width, HSV888Pixel value, int repeatx, int repeaty) {
VisionLabPINVOKE.BlockPattern__SWIG_19(HSV888Image.getCPtr(image), XYCoord.getCPtr(leftTop), height, width, HSV888Pixel.getCPtr(value), repeatx, repeaty);
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
public static void TranslateCyclic(HSV888Image src, HSV888Image dest, XYCoord vector) {
VisionLabPINVOKE.TranslateCyclic__SWIG_9(HSV888Image.getCPtr(src), HSV888Image.getCPtr(dest), XYCoord.getCPtr(vector));
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
public static void CircleShape(HSV888Image image, XYCoord centre, int r, HSV888Pixel value) {
VisionLabPINVOKE.CircleShape__SWIG_19(HSV888Image.getCPtr(image), XYCoord.getCPtr(centre), r, HSV888Pixel.getCPtr(value));
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
public static void Warp(HSV888Image src, HSV888Image dest, TransformDirection dir, Coord2D leftTop, Coord2D rightTop, Coord2D leftBottom, Coord2D rightBottom, int height, int width, HSV888Pixel border, PixelInterpolation pi) {
VisionLabPINVOKE.Warp__SWIG_19(HSV888Image.getCPtr(src), HSV888Image.getCPtr(dest), (int)dir, Coord2D.getCPtr(leftTop), Coord2D.getCPtr(rightTop), Coord2D.getCPtr(leftBottom), Coord2D.getCPtr(rightBottom), height, width, HSV888Pixel.getCPtr(border), (int)pi);
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
public static void DeInterlace(HSV888Image image) {
VisionLabPINVOKE.DeInterlace__SWIG_9(HSV888Image.getCPtr(image));
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
public static int XYCoordTabFromImage(HSV888Image image, vector_XYCoord tab, HSV888Pixel low, HSV888Pixel high) {
int ret = VisionLabPINVOKE.XYCoordTabFromImage__SWIG_19(HSV888Image.getCPtr(image), vector_XYCoord.getCPtr(tab), HSV888Pixel.getCPtr(low), HSV888Pixel.getCPtr(high));
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
return ret;
}
public int Classify(HSV888Image image, ref double confidency) {
int ret = VisionLabPINVOKE.BPN_ImageClassifier_HSV8_Classify(swigCPtr, HSV888Image.getCPtr(image), ref confidency);
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
return ret;
}
public static void Zoom(HSV888Image src, HSV888Image dest, HeightWidth hw) {
VisionLabPINVOKE.Zoom__SWIG_37(HSV888Image.getCPtr(src), HSV888Image.getCPtr(dest), HeightWidth.getCPtr(hw));
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
}
public double EvaluateImage(HSV888Image image, int classExp, ref int classRes, ref double confidency, vector_double output) {
double ret = VisionLabPINVOKE.BPN_ImageClassifier_HSV8_EvaluateImage(swigCPtr, HSV888Image.getCPtr(image), classExp, ref classRes, ref confidency, vector_double.getCPtr(output));
if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
return ret;
}
/* Description:
* Find the largest license plate in the image
* - Segment using ThresholdHSVchannels
* - Remove blobs which are not license plates
* Input:
* //Original image
* RGB888Image plateImage
* Output:
* //Segmented license plate
* ref Int16Image binaryPlateImage
* Return:
* //License plate found?
* bool
*/
public static bool FindPlate(RGB888Image plateImage, ref Int16Image binaryPlateImage, TresholdConditions state)
{
//Constants
int c_threshold_h_min = 0;
int c_threshold_h_max = 0;
int c_threshold_s_min = 0;
int c_threshold_s_max = 0;
int c_threshold_v_min = 0;
int c_threshold_v_max = 0;
int c_remove_blobs_min = 0;
int c_remove_blobs_max = 500;
switch (state)
{
case (TresholdConditions.NORMAAL):
c_threshold_h_min = 21;
c_threshold_h_max = 50;
c_threshold_s_min = 100;
c_threshold_s_max = 255;
c_threshold_v_min = 100;
c_threshold_v_max = 255;
break;
case (TresholdConditions.ONDERBELICHT):
c_threshold_h_min = 11;
c_threshold_h_max = 119;
c_threshold_s_min = 23;
c_threshold_s_max = 255;
c_threshold_v_min = 56;
c_threshold_v_max = 176;
break;
case (TresholdConditions.OVERBELICHT):
c_threshold_h_min = 0;
c_threshold_h_max = 241;
c_threshold_s_min = 29;
c_threshold_s_max = 241;
c_threshold_v_min = 249;
c_threshold_v_max = 255;
break;
}
//*******************************//
//** Exercise: **//
//** adjust licenseplate **//
//** segmentation **//
//*******************************//
//Find licenseplate
HSV888Image plateImageHSV = new HSV888Image();
//Convert to RGB to HSV
VisionLab.FastRGBToHSV(plateImage, plateImageHSV);
//Threshold HSV image
VisionLab.Threshold3Channels(plateImageHSV, binaryPlateImage, c_threshold_h_min, c_threshold_h_max, c_threshold_s_min, c_threshold_s_max, c_threshold_v_min, c_threshold_v_max);
//Convert to a 32 bit format
Int32Image binaryPlateImage32 = new Int32Image();
VisionLab.Convert(binaryPlateImage, binaryPlateImage32);
//Remove blobs with small areas
VisionLab.RemoveBlobs(binaryPlateImage32, Connected.EightConnected, BlobAnalyse.BA_Area, c_remove_blobs_min, c_remove_blobs_max);
//Remove border blobs
VisionLab.RemoveBorderBlobs(binaryPlateImage32, Connected.EightConnected, Border.AllBorders);
//Length Breath Ratio
VisionLab.RemoveBlobs(binaryPlateImage32, Connected.EightConnected, BlobAnalyse.BA_LengthBreadthRatio, 0, 2.5);
VisionLab.RemoveBlobs(binaryPlateImage32, Connected.EightConnected, BlobAnalyse.BA_LengthBreadthRatio, 6.7, 10);
// Remove blobs that have to less holes
VisionLab.RemoveBlobs(binaryPlateImage32, Connected.EightConnected, BlobAnalyse.BA_NrOfHoles, 0, 5);
// And remove blobs that have a to small area for the holes
VisionLab.RemoveBlobs(binaryPlateImage32, Connected.EightConnected, BlobAnalyse.BA_AreaHoles, 0, 200);
//Convert back to a 16 bit format
VisionLab.Convert(binaryPlateImage32, binaryPlateImage);
//binPlateImage32.Dispose();
binaryPlateImage32.Dispose();
plateImageHSV.Dispose();
GC.Collect();
//Return true, if pixels found
return(VisionLab.SumIntPixels(binaryPlateImage) > 0);
//return VisionLab.LabelBlobs(binaryPlateImage, Connected.EightConnected) == 1;
}
