/// <summary>
/// Draws all given rectangles on the image in green.
/// </summary>
/// <param name="mat"></param>
/// <param name="bounds"></param>
/// <returns>Mat with drawn bounding boxes</returns>
public Mat DrawBoundingBoxes(Mat mat, List <Rect> bounds)
{
foreach (Rect bound in bounds)
{
Imgproc.Rectangle(mat, new Point(bound.X, bound.Y), new Point(bound.X + bound.Width, bound.Y + bound.Height), new Scalar(0, 255, 0));
}
return(mat);
}
public Mat OnCameraFrame(CameraBridgeViewBase.ICvCameraViewFrame inputFrame)
{
mRgbaT = inputFrame.Rgba();
//mRgbaT = mRgba.T();
//Core.Flip(mRgba.T(), mRgbaT, 1);
//Imgproc.Resize(mRgbaT, mRgbaT, mRgba.Size());
mGrayT = inputFrame.Gray();
//mGrayT = mGray.T();
//Core.Flip(mGray.T(), mGrayT, 1);
//Imgproc.Resize(mGrayT, mGrayT, mGray.Size());
//mRgba = mRgbaT;
//mGray = mGrayT;
if (mAbsoluteFaceSize == 0)
{
int height = mGrayT.Rows();
if (Java.Lang.Math.Round(height * mRelativeFaceSize) > 0)
{
mAbsoluteFaceSize = Java.Lang.Math.Round(height * mRelativeFaceSize);
}
mNativeDetector.setMinFaceSize(mAbsoluteFaceSize);
}
MatOfRect faces = new MatOfRect();
if (mDetectorType == JAVA_DETECTOR)
{
if (mJavaDetector != null)
{
mJavaDetector.DetectMultiScale(mGrayT, faces, 1.1, 2, 2, // TODO: objdetect.CV_HAAR_SCALE_IMAGE
new Size(mAbsoluteFaceSize, mAbsoluteFaceSize), new Size());
}
}
else if (mDetectorType == NATIVE_DETECTOR)
{
if (mNativeDetector != null)
{
mNativeDetector.detect(mGrayT, faces);
}
}
else
{
Log.Error(ActivityTags.FaceDetect, "Detection method is not selected!");
}
Rect[] facesArray = faces.ToArray();
for (int i = 0; i < facesArray.Length; i++)
{
Imgproc.Rectangle(mRgbaT, facesArray[i].Tl(), facesArray[i].Br(), FACE_RECT_COLOR, 3);
}
return(mRgbaT);
}
private Mat get_template(CascadeClassifier clssfr, Rect area, int size)
{
Mat template = new Mat();
Mat mROI = mGray.Submat(area);
MatOfRect eyes = new MatOfRect();
Point iris = new Point();
Rect eye_template = new Rect();
clssfr.DetectMultiScale(mROI, eyes, 1.15, 2, Objdetect.CascadeFindBiggestObject | Objdetect.CascadeScaleImage,
new Size(30, 30), new Size());
Rect[] eyesArray = eyes.ToArray();
for (int i = 0; i < eyesArray.Length;)
{
Rect e = eyesArray[i];
e.X = area.X + e.X;
e.Y = area.Y + e.Y;
Rect eye_only_rectangle = new Rect((int)e.Tl().X,
(int)(e.Tl().Y + e.Height * 0.4), (int)e.Width,
(int)(e.Height * 0.6));
mROI = mGray.Submat(eye_only_rectangle);
Mat vyrez = mRgba.Submat(eye_only_rectangle);
Core.MinMaxLocResult mmG = Core.MinMaxLoc(mROI);
Imgproc.Circle(vyrez, mmG.MinLoc, 2, new Scalar(255, 255, 255, 255), 2);
iris.X = mmG.MinLoc.X + eye_only_rectangle.X;
iris.Y = mmG.MinLoc.Y + eye_only_rectangle.Y;
eye_template = new Rect((int)iris.X - size / 2, (int)iris.Y - size / 2, size, size);
Imgproc.Rectangle(mRgba, eye_template.Tl(), eye_template.Br(), new Scalar(255, 0, 0, 255), 2);
template = (mGray.Submat(eye_template)).Clone();
return(template);
}
return(template);
}
public Mat OnCameraFrame(CameraBridgeViewBase.ICvCameraViewFrame inputFrame)
{
mRgba = inputFrame.Rgba();
mGray = inputFrame.Gray();
if (mAbsoluteFaceSize == 0)
{
int height = mGray.Rows();
if (Math.Round(height * mRelativeFaceSize) > 0)
{
mAbsoluteFaceSize = (int)Math.Round(height * mRelativeFaceSize);
}
}
if (mZoomWindow == null || mZoomWindow2 == null)
{
CreateAuxiliaryMats();
}
MatOfRect faces = new MatOfRect();
if (FACE != null)
{
FACE.DetectMultiScale(mGray, faces, 1.1, 2, 2, // TODO: objdetect.CV_HAAR_SCALE_IMAGE
new Size(mAbsoluteFaceSize, mAbsoluteFaceSize), new Size());
}
Rect[] facesArray = faces.ToArray();
for (int i = 0; i < facesArray.Length; i++)
{
Imgproc.Rectangle(mRgba, facesArray[i].Tl(), facesArray[i].Br(), FACE_RECT_COLOR, 3);
xCenter = (facesArray[i].X + facesArray[i].Width + facesArray[i].X) / 2;
yCenter = (facesArray[i].Y + facesArray[i].Y + facesArray[i].Height) / 2;
Point center = new Point(xCenter, yCenter);
Imgproc.Circle(mRgba, center, 10, new Scalar(255, 0, 0, 255), 3);
/* --- NOT NEEDED
* Imgproc.putText(mRgba, "[" + center.X + "," + center.Y + "]",
* new Point(center.X + 20, center.Y + 20),
* Core.FONT_HERSHEY_SIMPLEX, 0.7, new Scalar(255, 255, 255, 255));
*/
Rect r = facesArray[i];
// compute the eye area
Rect eyearea = new Rect(r.X + r.Width / 8,
(int)(r.Y + (r.Height / 4.5)), r.Width - 2 * r.Width / 8, (int)(r.Height / 3.0));
// split it
Rect eyearea_right = new Rect(r.X + r.Width / 16, (int)(r.Y + (r.Height / 4.5)),
(r.Width - 2 * r.Width / 16) / 2, (int)(r.Height / 3.0));
Rect eyearea_left = new Rect(r.X + r.Width / 16 + (r.Width - 2 * r.Width / 16) / 2,
(int)(r.Y + (r.Height / 4.5)), (r.Width - 2 * r.Width / 16) / 2, (int)(r.Height / 3.0));
// draw the area - mGray is working grayscale mat, if you want to see area in rgb preview,
// change mGray to mRgba
Imgproc.Rectangle(mRgba, eyearea_left.Tl(), eyearea_left.Br(), new Scalar(255, 0, 0, 255), 2);
Imgproc.Rectangle(mRgba, eyearea_right.Tl(), eyearea_right.Br(), new Scalar(255, 0, 0, 255), 2);
if (learn_frames < 5)
{
teplateR = get_template(EYE, eyearea_right, 24);
teplateL = get_template(EYE, eyearea_left, 24);
learn_frames++;
}
else
{
// Learning finished, use the new templates for template matching
match_eye(eyearea_right, teplateR, method);
match_eye(eyearea_left, teplateL, method);
}
// cut eye areas and put them to zoom windows
Imgproc.Resize(mRgba.Submat(eyearea_left), mZoomWindow2, mZoomWindow2.Size());
Imgproc.Resize(mRgba.Submat(eyearea_right), mZoomWindow, mZoomWindow.Size());
}
/*
* mRgba = inputFrame.Rgba();
* Log.Info(TAG, "called OnCameraFrame");
*
* if (mIsColorSelected)
* {
* mDetector.Process(mRgba);
* List<MatOfPoint> contours = mDetector.Contours;
* Log.Error(TAG, "Contours count: " + contours.Count);
* Imgproc.DrawContours(mRgba, contours, -1, CONTOUR_COLOR);
*
* Mat colorLabel = mRgba.Submat(4, 68, 4, 68);
* colorLabel.SetTo(mBlobColorRgba);
*
* Mat spectrumLabel = mRgba.Submat(4, 4 + mSpectrum.Rows(), 70, 70 + mSpectrum.Cols());
* mSpectrum.CopyTo(spectrumLabel);
* }
*/
return(mRgba);
}
private void match_eye(Rect area, Mat mTemplate, int type)
{
Point matchLoc;
Mat mROI = mGray.Submat(area);
int result_cols = mROI.Cols() - mTemplate.Cols() + 1;
int result_rows = mROI.Rows() - mTemplate.Rows() + 1;
// Check for bad template size
if (mTemplate.Cols() == 0 || mTemplate.Rows() == 0)
{
return;
}
Mat mResult = new Mat(result_cols, result_rows, CvType.Cv8u);
switch (type)
{
case TM_SQDIFF:
Imgproc.MatchTemplate(mROI, mTemplate, mResult, Imgproc.TmSqdiff);
break;
case TM_SQDIFF_NORMED:
Imgproc.MatchTemplate(mROI, mTemplate, mResult, Imgproc.TmSqdiffNormed);
break;
case TM_CCOEFF:
Imgproc.MatchTemplate(mROI, mTemplate, mResult, Imgproc.TmCcoeff);
break;
case TM_CCOEFF_NORMED:
Imgproc.MatchTemplate(mROI, mTemplate, mResult, Imgproc.TmCcoeffNormed);
break;
case TM_CCORR:
Imgproc.MatchTemplate(mROI, mTemplate, mResult, Imgproc.TmCcorr);
break;
case TM_CCORR_NORMED:
Imgproc.MatchTemplate(mROI, mTemplate, mResult, Imgproc.TmCcorrNormed);
break;
}
Core.MinMaxLocResult mmres = Core.MinMaxLoc(mResult);
// there is difference in matching methods - best match is max/min value
if (type == TM_SQDIFF || type == TM_SQDIFF_NORMED)
{
matchLoc = mmres.MinLoc;
}
else
{
matchLoc = mmres.MaxLoc;
}
Point matchLoc_tx = new Point(matchLoc.X + area.X, matchLoc.Y + area.Y);
Point matchLoc_ty = new Point(matchLoc.X + mTemplate.Cols() + area.X,
matchLoc.Y + mTemplate.Rows() + area.Y);
Imgproc.Rectangle(mRgba, matchLoc_tx, matchLoc_ty, new Scalar(255, 255, 0, 255));
Rect rec = new Rect(matchLoc_tx, matchLoc_ty);
}
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 Mat OnCameraFrame(CameraBridgeViewBase.ICvCameraViewFrame inputFrame)
{
//mRgba = inputFrame.Rgba();
Bitmap bitmap = BitmapFactory.DecodeResource(Resources, Resource.Drawable.test2);
Mat mat = new Mat();
Android.Utils.BitmapToMat(bitmap, mat);
Imgproc.Resize(mat, mRgba, mRgba.Size());
mat.Release();
bitmap.Recycle();
bitmap.Dispose();
// Start
// Sign detection
Mat binSign;
mSignDetector.Update(mRgba, out binSign);
// Filter image based on color to find markings
Mat bin = mLaneMarkFilter.FilterMarkings(mRgba);
// Generate bird eye view
float marginX = 0.42f;
float marginY = 0.65f;
Mat a, b, birdsEyeView;
mTransformer.GetBirdEye(bin, mRgba, marginX, marginY, out a, out b, out birdsEyeView);
// Scale to mini bird view and draw to origin
Mat birdEyeMiniView = new Mat(birdsEyeView.Size(), CvType.Cv8uc4);// new Mat(birdsEyeView.Height() / 2, birdsEyeView.Width() / 2, mRgba.Type(), new Scalar(0, 255, 0, 255));
Imgproc.CvtColor(birdsEyeView, birdEyeMiniView, Imgproc.ColorGray2bgra);
Imgproc.Resize(birdEyeMiniView, birdEyeMiniView, new Size(birdsEyeView.Cols() / 2, birdsEyeView.Rows() / 2));
birdEyeMiniView.CopyTo(mRgba.RowRange(0, birdsEyeView.Rows() / 2).ColRange(0, birdsEyeView.Cols() / 2));
List <Core.Rect> rects = mSignDetector.GetSignRects();
SignDetector.SignType[] types = mSignDetector.GetSignTypes();
int iRect = 0;
foreach (var rect in rects)
{
if (types[iRect] != SignDetector.SignType.None)
{
Imgproc.Rectangle(mRgba, new Core.Point(rect.X, rect.Y), new Core.Point(rect.X + rect.Width, rect.Y + rect.Height), new Scalar(255, 0, 0, 255), 3);
}
iRect++;
}
//Imgproc.Resize(binSign, binSign, new Size(mRgba.Cols() / 2, mRgba.Rows() / 2));
//Mat binSignMini = new Mat(binSign.Size(), CvType.Cv8uc4);
//Imgproc.CvtColor(binSign, binSignMini, Imgproc.ColorGray2bgra);
//binSignMini.CopyTo(mRgba.RowRange(0, mRgba.Rows() / 2).ColRange(mRgba.Cols() / 2, mRgba.Cols()));
// End
// Release
birdsEyeView.Release();
birdEyeMiniView.Release();
a.Release();
b.Release();
bin.Release();
return(mRgba);
}
public Mat DrawRectangle(Mat mat, Rect rect, Scalar colour)
{
Imgproc.Rectangle(mat, new Point(rect.X - 2, rect.Y - 2), new Point(rect.X + rect.Width + 2, rect.Y + rect.Height + 2), new Scalar(0, 255, 0));
return(mat);
}
/// <summary>
/// Run a sliding window algorithm on the bird eye view to find the 2 sides of the lane.
/// </summary>
/// <param name="birdEye">bird eye image</param>
/// <param name="res"> result of windowing </param>
/// <param name="windows"> number of stacked windows </param>
public void FitLinesInSlidingWindows(Mat birdEye, out Mat res, int windows)
{
LeftPoints = new List <Point>();
RightPoints = new List <Point>();
// erode by 2x2 kernel
Imgproc.Erode(birdEye, birdEye, Imgproc.GetStructuringElement(Imgproc.MorphRect, new Size(2, 2)));
// alloc res have the same size and type as bird eye
res = new Mat(birdEye.Size(), birdEye.Type());
// convert to BGR for result drawing
Imgproc.CvtColor(birdEye, res, Imgproc.ColorGray2bgr);
// crop half bottom of bird eye
Mat cropped = new Mat(birdEye, new Rect(0, birdEye.Height() / 2, birdEye.Width(), birdEye.Height() / 2));
// find left and right starting point
int left, right;
SlidingWindowsStartLoc(cropped, out left, out right);
// current window locations
int currentWindowLeft = left;
int currentWindowRight = right;
// window settings & buffer
int margin = 100;
int minpix = 140;
int winHeight = birdEye.Height() / windows;
// calculate windows
for (int i = 0; i < windows; i++)
{
// calculate window size and location
int winYhigh = birdEye.Height() - i * winHeight;
int winXleftLow = currentWindowLeft - margin;
int winXrightLow = currentWindowRight - margin;
Rect leftRect = new Rect(winXleftLow, winYhigh - winHeight, margin * 2, winHeight);
Rect rightRect = new Rect(winXrightLow, winYhigh - winHeight, margin * 2, winHeight);
Imgproc.Rectangle(res, new Point(leftRect.X, leftRect.Y), new Point(leftRect.X + leftRect.Width, leftRect.Y + leftRect.Height), new Scalar(20, 20, 255), 3);
Imgproc.Rectangle(res, new Point(rightRect.X, rightRect.Y), new Point(rightRect.X + rightRect.Width, rightRect.Y + rightRect.Height), new Scalar(20, 20, 255), 3);
int goodLeft;
int goodRight;
// save position
LeftPoints.Add(new Point(winXleftLow + margin, winYhigh - (winHeight / 2)));
RightPoints.Add(new Point(winXrightLow + margin, winYhigh - (winHeight / 2)));
Mat birdEyeROI;
birdEyeROI = birdEye.Submat(leftRect);
goodLeft = Core.Core.CountNonZero(birdEyeROI);
birdEyeROI = birdEye.Submat(rightRect);
goodRight = Core.Core.CountNonZero(birdEyeROI);
if (goodLeft > minpix)
{
// recenter
birdEyeROI = birdEye.Submat(leftRect);
currentWindowLeft = CenterOfLine(birdEyeROI) + leftRect.X;
}
if (goodRight > minpix)
{
// recenter
birdEyeROI = birdEye.Submat(rightRect);
currentWindowRight = CenterOfLine(birdEyeROI) + rightRect.X;
}
}
// Draw midpoints
foreach (Point p in LeftPoints)
{
//res.Draw(new Rectangle(new Point((int)p.X, (int)p.Y), new Size(20, 20)), new Bgr(50, 50, 230), 12);
Imgproc.Rectangle(res, new Point((int)p.X, (int)p.Y), new Point(p.X + 20, p.Y + 20), new Scalar(50, 50, 230), 12);
}
foreach (Point p in RightPoints)
{
//res.Draw(new Rectangle(new Point((int)p.X, (int)p.Y), new Size(20, 20)), new Bgr(50, 50, 230), 12);
Imgproc.Rectangle(res, new Point((int)p.X, (int)p.Y), new Point(p.X + 20, p.Y + 20), new Scalar(50, 50, 230), 12);
}
BirdEye = res;
}
/// <summary>
///
/// </summary>
/// <param name="img"></param>
public static Bitmap detectTextRect(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);
//Variablen
OpenCV.Core.Rect rect;
Mat maskROI;
double r;
double[] contourInfo;
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);
}
//Nächste Element bestimmen
contourInfo = hierarchy.Get(0, i);
i = (int)contourInfo[0];
}
Bitmap resultrgb;
resultrgb = Bitmap.CreateBitmap(rgb.Cols(), rgb.Rows(), Bitmap.Config.Argb8888);
Utils.MatToBitmap(rgb, resultrgb);
return(resultrgb);
}
