public Mat OnCameraFrame(CameraBridgeViewBase.ICvCameraViewFrame inputFrame)
{
mRgba = inputFrame.Rgba();
if (mIsColorSelected)
{
mDetector.Process(mRgba);
List <MatOfPoint> contours = mDetector.Contours;
Log.Error("BlobDetection", "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);
}
public override bool OnOptionsItemSelected(IMenuItem item)
{
Log.Info(Tag, "Menu Item selected " + item);
if (item == _itemPickPhoto)
{
var imageIntent = new Intent();
imageIntent.SetType("image/*");
imageIntent.SetAction(Intent.ActionGetContent);
StartActivityForResult(Intent.CreateChooser(imageIntent, "Select photo"), 0);
}
else if (item == _itemGray)
{
// 灰度图
_gray = new Mat(_raw.Width(), _raw.Height(), CvType.Cv8uc1);
Imgproc.CvtColor(_raw, _gray, Imgproc.ColorRgb2gray);
ShowImage(_gray);
}
else if (item == _itemThreshold)
{
// 二值化
_threshold = new Mat(_image.Width, _image.Height, CvType.Cv8uc1);
Imgproc.Threshold(_gray, _threshold, 168, 255, Imgproc.ThreshBinary);
ShowImage(_threshold);
}
else if (item == _itemFindContours)
{
// 查找最大连通区域
IList <MatOfPoint> contours = new JavaList <MatOfPoint>();
Mat hierarchy = new Mat();
var target = _threshold.Clone();
Imgproc.FindContours(target, contours, hierarchy, Imgproc.RetrExternal, Imgproc.ChainApproxNone);
MatOfPoint max = new MatOfPoint();
double contour_area_max = 0;
if (contours.Any())
{
foreach (var contour in contours)
{
var contour_area_temp = Math.Abs(Imgproc.ContourArea(contour));
if (contour_area_temp > contour_area_max)
{
contour_area_max = contour_area_temp;
max = contour;
}
}
}
var last = new JavaList <MatOfPoint>();
last.Add(max);
Imgproc.DrawContours(_raw, last, -1, new Scalar(255, 0, 0));
ShowImage(_raw);
}
else if (item == _itemCreateTrimap)
{
// 生成三元图 暂时先用生成的图替代
var imageIntent = new Intent();
imageIntent.SetType("image/*");
imageIntent.SetAction(Intent.ActionGetContent);
StartActivityForResult(Intent.CreateChooser(imageIntent, "Select photo"), 1);
}
else if (item == _itemSharedMatting)
{
// 扣图
var sharedMatting = new SharedMatting();
sharedMatting.SetImage(_raw);
sharedMatting.SetTrimap(_trimap);
sharedMatting.SolveAlpha();
}
return(base.OnOptionsItemSelected(item));
}
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);
}