public static void GetBlobsInfo(Image binaryImage, vector_BlobAnalyse analysis, ref vector_Blob blobs)
{
Int32Image labeledBinaryImage = new Int32Image();
VisionLab.Convert(binaryImage, labeledBinaryImage);
int maxlabel = VisionLab.LabelBlobs(labeledBinaryImage, Connected.EightConnected);
VisionLab.BlobAnalysis(labeledBinaryImage, VisionLab.VectorToSet_BlobAnalyse(analysis), maxlabel, blobs);
labeledBinaryImage.Dispose();
//GC.Collect();
}
/* Description:
* Locates the characters of the license plate
* - Warp image (Rectify)
* - Segment characters
* - Remove blobs which are to small (Lines between characters)
* Input:
* //Original image
* RGB888Image plateImage
* //Segmented license plate
* Int32Image binaryPlateImage
* Output:
* //Image containing binary six characters
* ref Int32Image binaryCharacterImage
* Return:
* //Function executed successfully
* bool
*/
public static bool FindCharacters(RGB888Image plateImage, Int32Image binaryPlateImage, ref Int32Image binaryCharacterImage)
{
//Constants
const int c_height = 100;
const int c_width = 470;
const int c_remove_blobs_min = 1;
const int c_remove_blobs_max = 400;
XYCoord leftTop = new XYCoord();
XYCoord rightTop = new XYCoord();
XYCoord leftBottom = new XYCoord();
XYCoord rightBottom = new XYCoord();
//Find licenseplate
VisionLab.FindCornersRectangle(binaryPlateImage, Connected.EightConnected, 0.5, Orientation.Landscape, leftTop, rightTop, leftBottom, rightBottom);
Int32Image plateImageGray = new Int32Image();
VisionLab.Convert(plateImage, plateImageGray);
try
{
//Rectify plate
VisionLab.Warp(plateImageGray, binaryCharacterImage, TransformDirection.ForwardT, new Coord2D(leftTop), new Coord2D(rightTop), new Coord2D(leftBottom), new Coord2D(rightBottom), c_height, c_width, 0);
}
catch (Exception)
{
//Warp, 3 coords on one line
return(false);
}
plateImageGray.Dispose();
//*******************************//
//** Exercise: **//
//** adjust licenseplate **//
//** segmentation **//
//*******************************//
//Find dark text on bright licenseplate using ThresholdISOData
VisionLab.ThresholdIsoData(binaryCharacterImage, ObjectBrightness.DarkObject);
//Remove blobs connected to the border
VisionLab.RemoveBorderBlobs(binaryCharacterImage, Connected.EightConnected, Border.AllBorders);
//Remove small blobs
VisionLab.RemoveBlobs(binaryCharacterImage, Connected.EightConnected, BlobAnalyse.BA_Area, c_remove_blobs_min, c_remove_blobs_max);
leftTop.Dispose();
rightTop.Dispose();
leftBottom.Dispose();
rightBottom.Dispose();
//GC.Collect();
return(true);
}
public static Bitmap JLToBitmap(Image img)
{
Bitmap bm = new Bitmap(img.GetWidth(), img.GetHeight(), PixelFormat.Format32bppRgb);
BitmapData bmdata = bm.LockBits(new Rectangle(0, 0, bm.Width, bm.Height), ImageLockMode.ReadOnly, PixelFormat.Format32bppRgb);
try
{
RGB888Image vlimage = new RGB888Image();
VisionLab.Convert(img, vlimage);
CopyMemory(bmdata.Scan0, vlimage.GetBufPtr(), vlimage.GetWidth() * vlimage.GetHeight() * 4 /*RGB8*/);
vlimage.Dispose();
}
finally
{
bm.UnlockBits(bmdata);
}
return(bm);
}
/*
* Description:
* Locates the characters of the license plate
* - Warp image (Rectify)
* - Segment characters
* - Remove blobs which are to small (Lines between characters)
* Input:
* //Original image
* RGB888Image plateImage
* //Segmented license plate
* Int32Image binaryPlateImage
* Output:
* //Image containing binary six characters
* ref Int32Image binaryCharacterImage
* Return:
* //Function executed successfully
* bool
*/
public static bool FindCharacters(RGB888Image plateImage, Int32Image binaryPlateImage, ref Int32Image binaryCharacterImage)
{
try
{
//Constants
const int c_height = 100;
const int c_width = 470;
const int c_remove_blobs_min = 1;
const int c_remove_blobs_max = 450;
XYCoord leftTop = new XYCoord();
XYCoord rightTop = new XYCoord();
XYCoord leftBottom = new XYCoord();
XYCoord rightBottom = new XYCoord();
//Find licenseplate
VisionLab.FindCornersRectangle(binaryPlateImage, Connected.EightConnected, 0.5, Orientation.Landscape, leftTop, rightTop, leftBottom, rightBottom);
if (!VisionLab.WarpCoordsValid(new Coord2D(leftTop), new Coord2D(rightTop), new Coord2D(leftBottom), new Coord2D(rightBottom)))
{
VisionLab.FindCornersRectangleSq(binaryPlateImage, Connected.EightConnected, leftTop, rightTop, leftBottom, rightBottom);
if (!VisionLab.WarpCoordsValid(new Coord2D(leftTop), new Coord2D(rightTop), new Coord2D(leftBottom), new Coord2D(rightBottom)))
{
return(false);
}
}
Int32Image plateImageGray = new Int32Image();
VisionLab.Convert(plateImage, plateImageGray);
//Rectify plate
VisionLab.Warp(plateImageGray, binaryCharacterImage, TransformDirection.ForwardT, new Coord2D(leftTop), new Coord2D(rightTop), new Coord2D(leftBottom), new Coord2D(rightBottom), c_height, c_width, 0);
plateImageGray.Dispose();
//*******************************//
//** Exercise: **//
//** adjust licenseplate **//
//** segmentation **//
//*******************************//
//Find dark text on bright licenseplate using ThresholdISOData
VisionLab.ThresholdIsoData(binaryCharacterImage, ObjectBrightness.DarkObject);
//Remove small blobs and noise
Int32Image binaryCharacterImageCopy = new Int32Image(binaryCharacterImage);
VisionLab.Opening(binaryCharacterImageCopy, binaryCharacterImage, new Mask_Int32(5, 1, 1));
//Remove blobs connected to the border
VisionLab.RemoveBorderBlobs(binaryCharacterImage, Connected.EightConnected, Border.AllBorders);
//Remove small blobs
VisionLab.RemoveBlobs(binaryCharacterImage, Connected.EightConnected, BlobAnalyse.BA_Area, c_remove_blobs_min, c_remove_blobs_max);
leftTop.Dispose();
rightTop.Dispose();
leftBottom.Dispose();
rightBottom.Dispose();
return(true);
}
catch (System.Exception ex)
{
throw new Exception("FindCharacters: " + ex.Message);
}
}
/*
* Description:
* Read the license plate
* Input:
* //Rectified license plate image containing six characters
* Int32Image labeledRectifiedPlateImage
* BlobMatcher_Int16 matcher //initialized blobmatcher
* ClassLexicon lexicon //initialized lexicon
* Output:
* //Result by the blob matcher
* ref LicensePlate result
* //Result by the lexicon
* ref LicensePlate lexiconResult
* Return:
* //six characters found
* bool
*/
public static bool MatchPlate(Int32Image binaryCharacterImage, BlobMatcher_Int16 matcher, ClassLexicon lexicon, ref LicensePlate result, ref LicensePlate lexiconResult)
{
//Check if 6 characters/blobs have been found and label image.
if (VisionLab.LabelBlobs(binaryCharacterImage, Connected.EightConnected) != 6)
{
return(false);
}
//Calculate dimensions and locations of all characters/blobs.
vector_BlobAnalyse ba_vec = new vector_BlobAnalyse();
ba_vec.Add(BlobAnalyse.BA_TopLeft);
ba_vec.Add(BlobAnalyse.BA_Height);
ba_vec.Add(BlobAnalyse.BA_Width);
vector_Blob returnBlobs = new vector_Blob();
VisionLab.BlobAnalysis(binaryCharacterImage, VisionLab.VectorToSet_BlobAnalyse(ba_vec), VisionLab.MaxPixel(binaryCharacterImage), returnBlobs, SortOrder.SortDown, BlobAnalyse.BA_TopLeft, UseXOrY.UseX);
ba_vec.Dispose();
Int32Image binaryCharacter = new Int32Image();
Int16Image binaryCharacter16 = new Int16Image();
//Create data structure for lexicon.
vector_vector_LetterMatch match = new vector_vector_LetterMatch();
//Process each character/blob.
foreach (Blob b in returnBlobs)
{
//Cut out character
VisionLab.ROI(binaryCharacterImage, binaryCharacter, b.TopLeft(), new HeightWidth(b.Height(), b.Width()));
//Convert ROI result to binary
VisionLab.ClipPixelValue(binaryCharacter, 0, 1);
//Calculate character's classification for all classes.
vector_PatternMatchResult returnMatches = new vector_PatternMatchResult();
VisionLab.Convert(binaryCharacter, binaryCharacter16);
float conf = matcher.AllMatches(binaryCharacter16, (float)-0.5, (float)0.5, returnMatches);
float err = returnMatches[0].error;
int id = returnMatches[0].id;
string chr = matcher.PatternName(id);
//Fill datastructure for lexicon.
match.Add(VisionLabEx.PatternMatchResultToLetterMatch(returnMatches));
//Store best match in result
result.characters.Add(new LicenseCharacter(chr, err, conf));
}
//Validate match with lexicon.
vector_int bestWord = new vector_int();
lexiconResult.confidence = lexicon.FindBestWord(match, bestWord, Optimize.OptimizeForMinimum);
for (int i = 0; i < bestWord.Count; i++)
{
string character = matcher.PatternName(bestWord[i]);
//Store lexicon result
lexiconResult.characters.Add(new LicenseCharacter(character));
}
binaryCharacter.Dispose();
binaryCharacter16.Dispose();
returnBlobs.Dispose();
match.Dispose();
bestWord.Dispose();
//GC.Collect();
return(true);
}
/* 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;
}
/* Description:
* Locates the characters of the license plate
* - Warp image (Rectify)
* - Segment characters
* - Remove blobs which are to small (Lines between characters)
* Input:
* //Original image
* RGB888Image plateImage
* //Segmented license plate
* Int16Image binaryPlateImage
* Output:
* //Image containing binary six characters
* ref Int16Image binaryCharacterImage
* Return:
* //Function executed successfully
* bool
*/
public static bool FindCharacters(RGB888Image plateImage, Int16Image binaryPlateImage, ref Int16Image binaryCharacterImage)
{
//Constants
const int c_height = 100;
const int c_width = 470;
const int c_remove_blobs_min = 0;
const int c_remove_blobs_max = 400;
XYCoord leftTop = new XYCoord();
XYCoord rightTop = new XYCoord();
XYCoord leftBottom = new XYCoord();
XYCoord rightBottom = new XYCoord();
// 2de set coordinaten:
// NIEUW
XYCoord leftTop2 = new XYCoord();
XYCoord rightTop2 = new XYCoord();
XYCoord leftBottom2 = new XYCoord();
XYCoord rightBottom2 = new XYCoord();
//Find licenseplate
Int32Image binaryPlateImage32 = new Int32Image();
VisionLab.Convert(binaryPlateImage, binaryPlateImage32);
VisionLab.FindCornersRectangle(
binaryPlateImage32,
Connected.EightConnected,
0.5,
Orientation.Landscape,
leftTop,
rightTop,
leftBottom,
rightBottom
);
// NIEUW
// Coordinaten bepalen voor deze functie
VisionLab.FindCornersRectangleSq(
binaryPlateImage32,
Connected.EightConnected,
leftTop2,
rightTop2,
leftBottom2,
rightBottom2
);
binaryPlateImage32.Dispose();
Int16Image plateImageGray = new Int16Image();
VisionLab.Convert(plateImage, plateImageGray);
binaryCharacterImage.Assign_Op(plateImageGray);
// Eerst de standaard wrap proberen
try
{
//Rectify plate
VisionLab.Warp(
plateImageGray,
binaryCharacterImage,
TransformDirection.ForwardT,
new Coord2D(leftTop),
new Coord2D(rightTop),
new Coord2D(leftBottom),
new Coord2D(rightBottom),
c_height,
c_width,
0
);
}
catch (Exception)
{
// NIEUW
// Als dat mislukt dan de andere gebruiken
try
{
VisionLab.Warp(plateImageGray,
binaryCharacterImage,
TransformDirection.ForwardT,
new Coord2D(leftTop2),
new Coord2D(rightTop2),
new Coord2D(leftBottom2),
new Coord2D(rightBottom2),
c_height,
c_width,
0
);
}
catch (Exception)
{
return(false);
}
}
plateImageGray.Dispose();
//*******************************//
//** Exercise: **//
//** adjust licenseplate **//
//** segmentation **//
//*******************************//
// NIEUW
Int16Image MaxMin = new Int16Image();
Int16Image MaxMin2 = new Int16Image();
// NIEUW
//2 x max rondje ding
//dan 2 x min rondje ding
//dan van elkaar aftrekken
//(zoeken op heldere object)
Mask_Int32 mask = new Mask_Int32(11, 11, 5, 5);
VisionLab.MaximumFilter(binaryCharacterImage, MaxMin, FixEdge.EdgeExtend, mask);
VisionLab.MaximumFilter(MaxMin, MaxMin2, FixEdge.EdgeExtend, mask);
VisionLab.MinimumFilter(MaxMin2, MaxMin, FixEdge.EdgeExtend, mask);
VisionLab.MinimumFilter(MaxMin, MaxMin2, FixEdge.EdgeExtend, mask);
// Maxmin2 holds the result now of the filter oparations
// Get the difference between both
VisionLab.Subtract(binaryCharacterImage, MaxMin2);
MaxMin2.Dispose();
MaxMin.Dispose();
//Find dark text on bright licenseplate using ThresholdISOData
VisionLab.ThresholdIsoData(binaryCharacterImage, ObjectBrightness.DarkObject);
Int16Image bin = new Int16Image();
// NIEUW
// Recreate images that are corralated / deformed
VisionLab.Opening(binaryCharacterImage, bin, new Mask_Int32(2, 2, 1));
// Convert to a 32 bit format
Int32Image binaryCharacterImage32 = new Int32Image();
// Int32Image binCharImg32 = new Int32Image();
VisionLab.Convert(bin, binaryCharacterImage32);
bin.Dispose();
// Remove blobs connected to the border
VisionLab.RemoveBorderBlobs(binaryCharacterImage32, Connected.EightConnected, Border.AllBorders);
// Remove small blobs
VisionLab.RemoveBlobs(binaryCharacterImage32, Connected.EightConnected, BlobAnalyse.BA_Area, c_remove_blobs_min, c_remove_blobs_max);
//Convert to a 16 bit format
VisionLab.Convert(binaryCharacterImage32, binaryCharacterImage);
binaryCharacterImage32.Dispose();
leftTop.Dispose();
rightTop.Dispose();
leftBottom.Dispose();
rightBottom.Dispose();
GC.Collect();
// NIEUW
// Check if 6 characters/blobs have been found and label image.
if (VisionLab.LabelBlobs(binaryCharacterImage, Connected.EightConnected) != 6)
{
return(false);
}
return(true);
}
