public int FindPlates()
{
IplImage labelImg = new IplImage(src.Size, CvBlobLib.DepthLabel, 1);
blobs = new CvBlobs();
plaka.Clear();
CvBlobLib.Label(timg, labelImg, blobs);
CvBlobLib.FilterByArea(blobs, 600, 10000);
IplImage srctemp = src.Clone();
CvBlobLib.RenderBlobs(labelImg, blobs, src, srctemp, RenderBlobsMode.BoundingBox | RenderBlobsMode.Angle);
foreach (var item in blobs)
{
item.Value.SetImageROItoBlob(pimg);
// ratio values of plate between 3.5 and 5.4
double ratio = (double)item.Value.Rect.Width / item.Value.Rect.Height;
double angle = (double)item.Value.CalcAngle();
if (ratio > 3.5 && ratio < 5.4 && angle > -15 && angle < 15)
{
// IplImage plakatemp = new IplImage(new CvSize(pimg.ROI.Width, pimg.ROI.Height), pimg.Depth, pimg.NChannels);
IplImage plakatemp = new IplImage(new CvSize(140, 27), pimg.Depth, pimg.NChannels);
Cv.Resize(pimg, plakatemp);
// Cv.Copy(pimg, plakatemp);
plaka.Add(plakatemp);
src.Rectangle(item.Value.Rect, new CvScalar(0, 0, 255), 2, LineType.Link4);
}
}
// CvBlobLib.RenderBlobs(labelImg, blobs, src, src, RenderBlobsMode.BoundingBox);
src.ResetROI();
return(plaka.Count);
}
private CvBlobs PreProcessImage2_old(IplImage img)
{
CvBlobs blobs = null;
IplConvKernel element = null;
IplImage temp = null;
IplImage dest = null;
IplImage tmpImage = null;
IplImage tmpImage2 = null;
IplImage labelImg = null;
try
{
element = Cv.CreateStructuringElementEx(180, 5, 90, 1, ElementShape.Rect, null);
tmpImage = new IplImage(img.Size, BitDepth.U8, 1);
temp = tmpImage.Clone();
dest = tmpImage.Clone();
img.CvtColor(tmpImage, ColorConversion.RgbaToGray);
tmpImage.Rectangle(new CvPoint(0, 0), new CvPoint((Int32)(tmpImage.Size.Width), (Int32)((tmpImage.Size.Height / 9) * 3)), new CvScalar(255, 255, 255), -1);
tmpImage.Rectangle(new CvPoint(0, (Int32)((tmpImage.Size.Height / 5) * 4)), new CvPoint((Int32)(tmpImage.Size.Width), (Int32)(tmpImage.Size.Height)), new CvScalar(255, 255, 255), -1);
tmpImage.Rectangle(new CvPoint((Int32)((tmpImage.Size.Width / 9) * 7), 0), new CvPoint((Int32)((tmpImage.Size.Width)), (Int32)(tmpImage.Size.Height)), new CvScalar(255, 255, 255), -1);
Cv.Smooth(tmpImage, tmpImage, SmoothType.Gaussian);
Cv.MorphologyEx(tmpImage, dest, temp, element, MorphologyOperation.TopHat, 1);
Cv.Threshold(dest, tmpImage, 128, 255, ThresholdType.Binary | ThresholdType.Otsu);
Cv.Smooth(tmpImage, dest, SmoothType.Median);
labelImg = new IplImage(img.Size, CvBlobLib.DepthLabel, 1);
blobs = new CvBlobs();
tmpImage2 = tmpImage.Clone();
CvBlobLib.Label(tmpImage2, labelImg, blobs);
//Cv.ReleaseImage(tmpImage);
//tmpImage = img.Clone();
//blobs.RenderBlobs(labelImg, img, tmpImage);
//tmpImage.SaveImage(@"c:\temp\newImages\RenderBlobsNOFiltered.png");
CvBlobLib.FilterByArea(blobs, 850, 4850);
Cv.ReleaseImage(tmpImage);
tmpImage = img.Clone();
//CvTracks tracks = new CvTracks();
//CvBlobLib.UpdateTracks(blobs, tracks, 200.0, 5);
//CvBlobLib.RenderTracks(tracks, tmpImage, tmpImage, RenderTracksMode.ID);
blobs.RenderBlobs(labelImg, img, tmpImage, RenderBlobsMode.BoundingBox | RenderBlobsMode.Angle);
//tmpImage.SaveImage(@"c:\temp\newImages\RenderBlobsFiltered.png");
}
finally
{
if (null != temp)
{
Cv.ReleaseImage(temp);
}
if (null != dest)
{
Cv.ReleaseImage(dest);
}
if (null != tmpImage)
{
Cv.ReleaseImage(tmpImage);
}
if (null != tmpImage2)
{
Cv.ReleaseImage(tmpImage2);
}
if (null != labelImg)
{
Cv.ReleaseImage(labelImg);
}
}
return(blobs);
}
private CvBlobs PreProcessImage1(IplImage mainSubImage, IplImage imgGray)
{
CvBlobs blobs = null;
IplImage tmpImage = null;
IplImage gray = null;
IplImage tgray = null;
IplImage labelImg = null;
IplImage temp = null;
try
{
tgray = imgGray.Clone();
gray = new IplImage(tgray.Size, tgray.Depth, 1);
Cv.Smooth(tgray, tgray, SmoothType.Gaussian);
Cv.Canny(tgray, gray, 500, 2, ApertureSize.Size5);
temp = gray.Clone();
//IplConvKernel element = Cv.CreateStructuringElementEx(5, 1, 3, 0, ElementShape.Rect, null);
IplConvKernel element = Cv.CreateStructuringElementEx(7, 1, 3, 0, ElementShape.Rect, null);
Cv.MorphologyEx(gray, gray, temp, element, MorphologyOperation.BlackHat, 1);
Cv.Threshold(gray, gray, 100, 255, ThresholdType.Binary | ThresholdType.Otsu);
Cv.Smooth(gray, gray, SmoothType.Gaussian);
labelImg = new IplImage(mainSubImage.Size, CvBlobLib.DepthLabel, 1);
blobs = new CvBlobs();
CvBlobLib.Label(gray, labelImg, blobs);
CvBlobLib.FilterByArea(blobs, 1550, 4850);
tmpImage = mainSubImage.Clone();
//CvTracks tracks = new CvTracks();
//CvBlobLib.UpdateTracks(blobs, tracks, 200.0, 5);
//CvBlobLib.RenderTracks(tracks, tmpImage, tmpImage, RenderTracksMode.ID);
blobs.RenderBlobs(labelImg, mainSubImage, tmpImage, RenderBlobsMode.BoundingBox | RenderBlobsMode.Angle);
/*
* img.SetROI(subImageRect);
* Cv.Copy(tmpImage, img);
* img.ResetROI();
* Cv.ReleaseImage(tmpImage);
*
*/
}
finally
{
if (null != temp)
{
Cv.ReleaseImage(temp);
}
if (null != tgray)
{
Cv.ReleaseImage(tgray);
}
if (null != gray)
{
Cv.ReleaseImage(gray);
}
if (null != labelImg)
{
Cv.ReleaseImage(labelImg);
}
if (null != tmpImage)
{
Cv.ReleaseImage(tmpImage);
}
}
return(blobs);
}
