average backgroundSubstraction bg calibrate calibrate calibrationLoop customValues defaultValues drawFaceMarks faceDetector factorX factorY filter_hand filterBlobs filterContours filterFace getCalibration getLastFacesPos getLower getUpper halfSide HandDetector HandDetector hue_invert hue_sigma_mult initBackgroundSubstractor initCascadeClassifier lastFacesPos lower lower_limit median operator() sat_sigma_mult stdDeviation threshold upper upper_limit val_sigma_mult ~HandDetector

void HandDetector::filterBlobs ( const cv::Mat &  src, cv::Mat &  dst  ) [private] Applies Gaussian Blur and thresholding to improve the final binary image. Parameters: src Input image dst Binary output image { // cv::Mat kernel = cv::getStructuringElement( cv::MORPH_ELLIPSE, cv::Size( 5, 5) ); // cv::morphologyEx( src, dst, cv::MORPH_CLOSE, kernel); cv::GaussianBlur(src, dst,cv::Size(0,0),5); // cv::adaptiveThreshold(dst, dst, 255, cv::ADAPTIVE_THRESH_GAUSSIAN_C, cv::THRESH_BINARY, 21, 5); // cv::threshold(dst, dst, 40, 255, CV_THRESH_BINARY | CV_THRESH_OTSU); int min=50; cv::inRange(dst,cv::Scalar(min,min,min) , cv::Scalar(255,255,255), dst); }