public void OnCameraViewStarted(int width, int height)
{
mIntermediateMat = new Mat();
mSize0 = new Size();
mChannels = new MatOfInt[] { new MatOfInt(0), new MatOfInt(1), new MatOfInt(2) };
mBuff = new float[mHistSizeNum];
mHistSize = new MatOfInt(mHistSizeNum);
mRanges = new MatOfFloat(0f, 256f);
mMat0 = new Mat();
mColorsRGB = new Scalar[] { new Scalar(200, 0, 0, 255), new Scalar(0, 200, 0, 255), new Scalar(0, 0, 200, 255) };
mColorsHue = new Scalar[] {
new Scalar(255, 0, 0, 255), new Scalar(255, 60, 0, 255), new Scalar(255, 120, 0, 255), new Scalar(255, 180, 0, 255), new Scalar(255, 240, 0, 255),
new Scalar(215, 213, 0, 255), new Scalar(150, 255, 0, 255), new Scalar(85, 255, 0, 255), new Scalar(20, 255, 0, 255), new Scalar(0, 255, 30, 255),
new Scalar(0, 255, 85, 255), new Scalar(0, 255, 150, 255), new Scalar(0, 255, 215, 255), new Scalar(0, 234, 255, 255), new Scalar(0, 170, 255, 255),
new Scalar(0, 120, 255, 255), new Scalar(0, 60, 255, 255), new Scalar(0, 0, 255, 255), new Scalar(64, 0, 255, 255), new Scalar(120, 0, 255, 255),
new Scalar(180, 0, 255, 255), new Scalar(255, 0, 255, 255), new Scalar(255, 0, 215, 255), new Scalar(255, 0, 85, 255), new Scalar(255, 0, 0, 255)
};
mWhilte = Scalar.All(255);
mP1 = new Point();
mP2 = new Point();
// Fill sepia kernel
mSepiaKernel = new Mat(4, 4, CvType.Cv32f);
mSepiaKernel.Put(0, 0, /* R */ 0.189f, 0.769f, 0.393f, 0f);
mSepiaKernel.Put(1, 0, /* G */ 0.168f, 0.686f, 0.349f, 0f);
mSepiaKernel.Put(2, 0, /* B */ 0.131f, 0.534f, 0.272f, 0f);
mSepiaKernel.Put(3, 0, /* A */ 0.000f, 0.000f, 0.000f, 1f);
}
public Mat GaussianBlur(Mat mat)
{
Mat output = new Mat();
var kernel = new Size(3, 3);
Imgproc.GaussianBlur(mat, output, kernel, 0);
return(output);
}
public void OnCameraViewStarted(int width, int height)
{
mRgba = new Mat(height, width, CvType.Cv8uc4);
mDetector = new ColorBlobDetector();
mSpectrum = new Mat();
mBlobColorRgba = new Scalar(255);
mBlobColorHsv = new Scalar(255);
SPECTRUM_SIZE = new Size(200, 64);
CONTOUR_COLOR = new Scalar(255, 0, 0, 255);
}
private Rect GetRoi(Mat mat)
{
var boxWidth = mat.Width() - (mat.Width() / 3);
var boxHeight = mat.Height() / 6;
var scanBox = new Size(boxWidth, boxHeight);
var xStartingPoint = mat.Width() / 6;
var yStartingPoint = (mat.Height() / 2) - (mat.Height() / 10);
var scanBoxStartingPoint = new Point(xStartingPoint, yStartingPoint);
return(new Rect(scanBoxStartingPoint, scanBox));
}
public CameraCalibrator(int width, int height)
{
mImageSize = new Size(width, height);
mFlags = Calib3d.Calib3d.CalibFixPrincipalPoint +
Calib3d.Calib3d.CalibZeroTangentDist +
Calib3d.Calib3d.CalibFixAspectRatio +
Calib3d.Calib3d.CalibFixK4 +
Calib3d.Calib3d.CalibFixK5;
Mat.Eye(3, 3, CvType.Cv64fc1).CopyTo(mCameraMatrix);
mCameraMatrix.Put(0, 0, 1.0);
Mat.Zeros(5, 1, CvType.Cv64fc1).CopyTo(mDistortionCoefficients);
Log.Info(TAG, "Instantiated new " + GetType().ToString());
mCornersSize = (int)(mPatternSize.Width * mPatternSize.Height);
}
public void OnCameraViewStarted(int width, int height)
{
mRgba = new Mat(height, width, CvType.Cv8uc4);
mDetector = new LaneDetector();
mSpectrum = new Mat();
mBlobColorRgba = new Scalar(255);
mBlobColorHsv = new Scalar(255);
SPECTRUM_SIZE = new Size(200, 64);
CONTOUR_COLOR = new Scalar(255, 0, 0, 255);
mDetector = new LaneDetector();
mLaneMarkFilter = new LaneMarkingsFilter();
mTransformer = new PerspectiveTransformer();
mSignDetector = new SignDetector();
}
/// <summary>
///
/// </summary>
/// <param name="img"></param>
/// <returns></returns>
public static Bitmap greyImg(Bitmap img, double threshValue1, double blurValue)
{
//Matrix für das Bild
Mat imgMat = new Mat();
//Bild zu Matrix umwandeln
Utils.BitmapToMat(img, imgMat);
//-----------------Bild bearbeiten---------------------
//Variablen
//Size s = new Size(10.0, 10.0);
Size s = new Size(blurValue, blurValue);
OpenCV.Core.Point p = new OpenCV.Core.Point(0, 0);
//TODO Matrix größe beachten?
Bitmap bmp = null;
Mat tmpgrey = new Mat(10, 10, CvType.Cv8uc1, new Scalar(4));
Mat tmpblur = new Mat(10, 10, CvType.Cv8uc1, new Scalar(4));
Mat tmpthresh = new Mat(10, 10, CvType.Cv8uc1, new Scalar(4));
Mat imgresult = new Mat(10, 10, CvType.Cv8uc1, new Scalar(4));
try
{
//Grau
Imgproc.CvtColor(imgMat, tmpgrey, Imgproc.ColorBgr2gray, 4);
//Blur
Imgproc.Blur(tmpgrey, tmpblur, s, p);
//Thresh
//Orginal
//Imgproc.Threshold(tmpblur, tmpthresh, 90, 255, Imgproc.ThreshBinary);
Imgproc.Threshold(tmpblur, tmpthresh, threshValue1, 255, Imgproc.ThreshBinary);
//Kontrast
//tmpthresh.ConvertTo(imgresult, -1, 9.0, 10);
bmp = Bitmap.CreateBitmap(tmpthresh.Cols(), tmpthresh.Rows(), Bitmap.Config.Argb8888);
Utils.MatToBitmap(tmpthresh, bmp);
}
catch (CvException e) { System.Console.WriteLine(e.Message); }
return(bmp);
}
public Mat OnCameraFrame(CameraBridgeViewBase.ICvCameraViewFrame inputFrame)
{
Mat rgba = inputFrame.Rgba();
Size sizeRgba = rgba.Size();
Mat rgbaInnerWindow;
int rows = (int)sizeRgba.Height;
int cols = (int)sizeRgba.Width;
int left = cols / 8;
int top = rows / 8;
int width = cols * 3 / 4;
int height = rows * 3 / 4;
switch (ImageManipulationsActivity.viewMode)
{
case ImageManipulationsActivity.VIEW_MODE_RGBA:
break;
case ImageManipulationsActivity.VIEW_MODE_HIST:
Mat hist = new Mat();
int thikness = (int)(sizeRgba.Width / (mHistSizeNum + 10) / 5);
if (thikness > 5)
{
thikness = 5;
}
int offset = (int)((sizeRgba.Width - (5 * mHistSizeNum + 4 * 10) * thikness) / 2);
// RGB
for (int c = 0; c < 3; c++)
{
Imgproc.CalcHist(Arrays.AsList(rgba).Cast <Mat>().ToList(), mChannels[c], mMat0, hist, mHistSize, mRanges);
Core.Normalize(hist, hist, sizeRgba.Height / 2, 0, Core.NormInf);
hist.Get(0, 0, mBuff);
for (int h = 0; h < mHistSizeNum; h++)
{
mP1.X = mP2.X = offset + (c * (mHistSizeNum + 10) + h) * thikness;
mP1.Y = sizeRgba.Height - 1;
mP2.Y = mP1.Y - 2 - (int)mBuff[h];
Imgproc.Line(rgba, mP1, mP2, mColorsRGB[c], thikness);
}
}
// Value and Hue
Imgproc.CvtColor(rgba, mIntermediateMat, Imgproc.ColorRgb2hsvFull);
// Value
Imgproc.CalcHist(Arrays.AsList(mIntermediateMat).Cast <Mat>().ToList(), mChannels[2], mMat0, hist, mHistSize, mRanges);
Core.Normalize(hist, hist, sizeRgba.Height / 2, 0, Core.NormInf);
hist.Get(0, 0, mBuff);
for (int h = 0; h < mHistSizeNum; h++)
{
mP1.X = mP2.X = offset + (3 * (mHistSizeNum + 10) + h) * thikness;
mP1.Y = sizeRgba.Height - 1;
mP2.Y = mP1.Y - 2 - (int)mBuff[h];
Imgproc.Line(rgba, mP1, mP2, mWhilte, thikness);
}
// Hue
Imgproc.CalcHist(Arrays.AsList(mIntermediateMat).Cast <Mat>().ToList(), mChannels[0], mMat0, hist, mHistSize, mRanges);
Core.Normalize(hist, hist, sizeRgba.Height / 2, 0, Core.NormInf);
hist.Get(0, 0, mBuff);
for (int h = 0; h < mHistSizeNum; h++)
{
mP1.X = mP2.X = offset + (4 * (mHistSizeNum + 10) + h) * thikness;
mP1.Y = sizeRgba.Height - 1;
mP2.Y = mP1.Y - 2 - (int)mBuff[h];
Imgproc.Line(rgba, mP1, mP2, mColorsHue[h], thikness);
}
break;
case ImageManipulationsActivity.VIEW_MODE_CANNY:
rgbaInnerWindow = rgba.Submat(top, top + height, left, left + width);
Imgproc.Canny(rgbaInnerWindow, mIntermediateMat, 80, 90);
Imgproc.CvtColor(mIntermediateMat, rgbaInnerWindow, Imgproc.ColorGray2bgra, 4);
rgbaInnerWindow.Release();
break;
case ImageManipulationsActivity.VIEW_MODE_SOBEL:
Mat gray = inputFrame.Gray();
Mat grayInnerWindow = gray.Submat(top, top + height, left, left + width);
rgbaInnerWindow = rgba.Submat(top, top + height, left, left + width);
Imgproc.Sobel(grayInnerWindow, mIntermediateMat, CvType.Cv8u, 1, 1);
Core.ConvertScaleAbs(mIntermediateMat, mIntermediateMat, 10, 0);
Imgproc.CvtColor(mIntermediateMat, rgbaInnerWindow, Imgproc.ColorGray2bgra, 4);
grayInnerWindow.Release();
rgbaInnerWindow.Release();
break;
case ImageManipulationsActivity.VIEW_MODE_SEPIA:
rgbaInnerWindow = rgba.Submat(top, top + height, left, left + width);
Core.Transform(rgbaInnerWindow, rgbaInnerWindow, mSepiaKernel);
rgbaInnerWindow.Release();
break;
case ImageManipulationsActivity.VIEW_MODE_ZOOM:
Mat zoomCorner = rgba.Submat(0, rows / 2 - rows / 10, 0, cols / 2 - cols / 10);
Mat mZoomWindow = rgba.Submat(rows / 2 - 9 * rows / 100, rows / 2 + 9 * rows / 100, cols / 2 - 9 * cols / 100, cols / 2 + 9 * cols / 100);
Imgproc.Resize(mZoomWindow, zoomCorner, zoomCorner.Size());
Size wsize = mZoomWindow.Size();
Imgproc.Rectangle(mZoomWindow, new Point(1, 1), new Point(wsize.Width - 2, wsize.Height - 2), new Scalar(255, 0, 0, 255), 2);
zoomCorner.Release();
mZoomWindow.Release();
break;
case ImageManipulationsActivity.VIEW_MODE_PIXELIZE:
rgbaInnerWindow = rgba.Submat(top, top + height, left, left + width);
Imgproc.Resize(rgbaInnerWindow, mIntermediateMat, mSize0, 0.1, 0.1, Imgproc.InterNearest);
Imgproc.Resize(mIntermediateMat, rgbaInnerWindow, rgbaInnerWindow.Size(), 0.0, 0.0, Imgproc.InterNearest);
rgbaInnerWindow.Release();
break;
case ImageManipulationsActivity.VIEW_MODE_POSTERIZE:
/*
* Imgproc.cvtColor(rgbaInnerWindow, mIntermediateMat, Imgproc.COLOR_RGBA2RGB);
* Imgproc.pyrMeanShiftFiltering(mIntermediateMat, mIntermediateMat, 5, 50);
* Imgproc.cvtColor(mIntermediateMat, rgbaInnerWindow, Imgproc.COLOR_RGB2RGBA);
*/
rgbaInnerWindow = rgba.Submat(top, top + height, left, left + width);
Imgproc.Canny(rgbaInnerWindow, mIntermediateMat, 80, 90);
rgbaInnerWindow.SetTo(new Scalar(0, 0, 0, 255), mIntermediateMat);
Core.ConvertScaleAbs(rgbaInnerWindow, mIntermediateMat, 1.0 / 16, 0);
Core.ConvertScaleAbs(mIntermediateMat, rgbaInnerWindow, 16, 0);
rgbaInnerWindow.Release();
break;
}
return(rgba);
}
public static async Task <string> detectAndExtractText(Bitmap img)
{
//Matrix für die Bilder
Mat large = new Mat();
Mat small = new Mat();
Mat rgb = new Mat();
//Bild zu Matrix umwandeln
Utils.BitmapToMat(img, large);
// downsample and use it for processing
Imgproc.PyrDown(large, rgb);
//Grey
Imgproc.CvtColor(rgb, small, Imgproc.ColorBgr2gray);
//Gradiant
Mat grad = new Mat();
Size morphsize = new Size(3.0, 3.0);
Mat morphKernel = Imgproc.GetStructuringElement(Imgproc.MorphEllipse, morphsize);
Imgproc.MorphologyEx(small, grad, Imgproc.MorphGradient, morphKernel);
//Binarize
Mat bw = new Mat();
Imgproc.Threshold(grad, bw, 0.0, 255.0, Imgproc.ThreshBinary | Imgproc.ThreshOtsu);
// connect horizontally oriented regions
Mat connected = new Mat();
Size connectsize = new Size(9.0, 1.0);
morphKernel = Imgproc.GetStructuringElement(Imgproc.MorphRect, connectsize);
Imgproc.MorphologyEx(bw, connected, Imgproc.MorphClose, morphKernel);
// find contours
Mat mask = Mat.Zeros(bw.Size(), CvType.Cv8uc1);
JavaList <MatOfPoint> contours = new JavaList <MatOfPoint>();
Mat hierarchy = new Mat();
OpenCV.Core.Point contourPoint = new OpenCV.Core.Point(0, 0);
Imgproc.FindContours(connected, contours, hierarchy, Imgproc.RetrCcomp, Imgproc.ChainApproxSimple, contourPoint);
Scalar zero = new Scalar(0, 0, 0);
Scalar contourscal = new Scalar(255, 255, 255);
Scalar rectScalar = new Scalar(0, 255, 0);
OpenCV.Core.Rect rect;
Mat maskROI;
double r;
double[] contourInfo;
string resulttext = "";
string part;
Bitmap bmpOcr;
Mat croppedPart;
for (int i = 0; i >= 0;)
{
rect = Imgproc.BoundingRect(contours[i]);
maskROI = new Mat(mask, rect);
maskROI.SetTo(zero);
//fill the contour
Imgproc.DrawContours(mask, contours, i, contourscal, Core.Filled);
// ratio of non-zero pixels in the filled region
r = (double)Core.CountNonZero(maskROI) / (rect.Width * rect.Height);
/* assume at least 45% of the area is filled if it contains text */
/* constraints on region size */
/* these two conditions alone are not very robust. better to use something
* like the number of significant peaks in a horizontal projection as a third condition */
if (r > .45 && (rect.Height > 8 && rect.Width > 8))
{
//Imgproc.Rectangle(rgb, rect.Br(), rect.Tl(), rectScalar, 2);
try
{
croppedPart = rgb.Submat(rect);
bmpOcr = Bitmap.CreateBitmap(croppedPart.Width(), croppedPart.Height(), Bitmap.Config.Argb8888);
Utils.MatToBitmap(croppedPart, bmpOcr);
part = await OCR.getText(bmpOcr);
resulttext = resulttext + part;
Console.WriteLine("------------------Durchlauf-------------");
}
catch (Exception e)
{
Android.Util.Log.Debug("Fehler", "cropped part data error " + e.Message);
}
}
//Nächste Element bestimmen
contourInfo = hierarchy.Get(0, i);
i = (int)contourInfo[0];
}
return(resulttext);
}