Dopo avere impostato un nuovo progetto OpenCV su Android come visto qui ho modificato il secondo esempo (mixed_sample)
Un po' di commenti
1) il flusso di lavoro prevede di prendere l'immagine dalla fotocamera, convertirla in scala di grigi, applicare il filtro Canny, applicare l'algoritmo delle Hough Lines, selezionare solo le linee maggiore di un valore limite (altrimenti l'algoritmo diventa rumoroso), calcolare il coefficiente angolare di ogni linea per creare 5 classi angolari (-90°/-60°,-60°/-30°,-30°/0°,0°/30°,30°/60°,60°/90°), popolare una textbox in altro a sinistra con i valori delle classi,sovrapporre le Hough Lines all'immagine RGB (Img.procline) e mostrare il tutto sullo schermo
2) per poter modificare la textbox si deve procedere mediante RunonUIThread
uno dei problemini che si hanno usando i filtri con i parametri cosi' come sono impostati e' che
in scene reali complesse, il filtro canny puo' comportarsi in questo modo
rendendo totalmente inutile la ricerca delle houghlines. Per risolvere questo problema possono essere calcolati i valori di threshold in modo automatico dalla deviazione media dell'immagine come segue
MatOfDouble mu = new MatOfDouble();
MatOfDouble sigma = new MatOfDouble();
Core.meanStdDev(inputFrame.gray(),mu,sigma);
Mat lines = new Mat();
Imgproc.Canny(inputFrame.gray(), mIntermediateMat, mu.get(0,0)[0] - sigma.get(0,0)[0], mu.get(0,0)[0] - sigma.get(0,0)[0]); per fare le cose in modo piu' pulito possono essere usate le funzioni di OpenCV come il filtro adattativo
Imgproc.adaptiveThreshold(inputFrame.gray(),result,255,
Imgproc.ADAPTIVE_THRESH_GAUSSIAN_C,Imgproc.THRESH_OTSU,15,4)
Layout
---------------------------------
<FrameLayout xmlns:android="http://schemas.android.com/apk/res/android"
xmlns:tools="http://schemas.android.com/tools"
xmlns:opencv="http://schemas.android.com/apk/res-auto"
android:layout_width="match_parent"
android:layout_height="match_parent" >
<org.opencv.android.JavaCameraView
android:layout_width="fill_parent"
android:layout_height="fill_parent"
android:visibility="gone"
android:id="@+id/tutorial1_activity_java_surface_view"
opencv:show_fps="true"
opencv:camera_id="any" />
<LinearLayout
android:layout_width="match_parent"
android:layout_height="match_parent"
android:orientation = "vertical" >
<TextView
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:id="@+id/fps_text_view"
android:textSize="12sp"
android:text="FPS:" />
</LinearLayout>
</FrameLayout>
---------------------------------Codice---------------------------------import android.app.Activity; import android.graphics.Color; import android.support.v7.app.AppCompatActivity; import android.os.Bundle; import android.util.Log; import android.view.Menu; import android.view.MenuItem; import android.view.SurfaceView; import android.view.WindowManager; import android.widget.TextView; import org.opencv.android.OpenCVLoader; import org.opencv.android.BaseLoaderCallback; import org.opencv.android.CameraBridgeViewBase.CvCameraViewFrame; import org.opencv.android.LoaderCallbackInterface; import org.opencv.core.CvType; import org.opencv.core.Mat; import org.opencv.android.CameraBridgeViewBase; import org.opencv.android.CameraBridgeViewBase.CvCameraViewListener2; import org.opencv.core.Point; import org.opencv.core.Scalar; import org.opencv.imgproc.Imgproc; import java.util.function.DoubleToLongFunction; public class MainActivity extends Activity implements CvCameraViewListener2 { private static final String TAG = "OCVSample::Activity"; private static final int VIEW_MODE_RGBA = 0; private static final int VIEW_MODE_GRAY = 1; private static final int VIEW_MODE_CANNY = 2; private static final int VIEW_MODE_FEATURES = 5; private static final int VIEW_MODE_HOUGH = 3; private int mViewMode; private Mat mRgba; private Mat mIntermediateMat; private Mat mGray; private MenuItem mItemPreviewRGBA; private MenuItem mItemPreviewGray; private MenuItem mItemPreviewCanny; private MenuItem mItemPreviewFeatures; private CameraBridgeViewBase mOpenCvCameraView; int [] classi = new int[10]; int threshold = 50; int minLineSize = 20; int lineGap = 10; private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) { @Override public void onManagerConnected(int status) { switch (status) { case LoaderCallbackInterface.SUCCESS: { Log.i(TAG, "OpenCV loaded successfully"); mOpenCvCameraView.enableView(); } break; default: { super.onManagerConnected(status); } break; } } }; private TextView testo; /** Called when the activity is first created. */ @Override public void onCreate(Bundle savedInstanceState) { Log.i(TAG, "called onCreate"); super.onCreate(savedInstanceState); getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON); setContentView(R.layout.activity_main); testo = (TextView) findViewById(R.id.fps_text_view); testo.setTextColor(Color.RED); mOpenCvCameraView = (CameraBridgeViewBase) findViewById(R.id.tutorial1_activity_java_surface_view); mOpenCvCameraView.setVisibility(CameraBridgeViewBase.VISIBLE); mOpenCvCameraView.setCvCameraViewListener(this); mViewMode = VIEW_MODE_HOUGH; } @Override public boolean onCreateOptionsMenu(Menu menu) { Log.i(TAG, "called onCreateOptionsMenu"); mItemPreviewRGBA = menu.add("Preview RGBA"); mItemPreviewGray = menu.add("Preview GRAY"); mItemPreviewCanny = menu.add("Canny"); mItemPreviewFeatures = menu.add("Find features"); return true; } @Override public void onPause() { super.onPause(); if (mOpenCvCameraView != null) mOpenCvCameraView.disableView(); } @Override public void onResume() { super.onResume(); if (!OpenCVLoader.initDebug()) { Log.d(TAG, "Internal OpenCV library not found. Using OpenCV Manager for initialization"); OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_3_0_0, this, mLoaderCallback); } else { Log.d(TAG, "OpenCV library found inside package. Using it!"); mLoaderCallback.onManagerConnected(LoaderCallbackInterface.SUCCESS); } } public void onDestroy() { super.onDestroy(); if (mOpenCvCameraView != null) mOpenCvCameraView.disableView(); } public void onCameraViewStarted(int width, int height) { mRgba = new Mat(height, width, CvType.CV_8UC4); mIntermediateMat = new Mat(height, width, CvType.CV_8UC4); mGray = new Mat(height, width, CvType.CV_8UC1); } public void onCameraViewStopped() { mRgba.release(); mGray.release(); mIntermediateMat.release(); } public static boolean isBetween(double x, double lower, double upper) { return lower <= x && x <= upper; } public Mat onCameraFrame(CvCameraViewFrame inputFrame) { final int viewMode = mViewMode; switch (viewMode) { case VIEW_MODE_GRAY: // input frame has gray scale formatImgproc.cvtColor(inputFrame.gray(), mRgba, Imgproc.COLOR_GRAY2RGBA, 4); break; case VIEW_MODE_RGBA: // input frame has RBGA formatmRgba = inputFrame.rgba(); break; case VIEW_MODE_CANNY: // input frame has gray scale format mRgba = inputFrame.rgba(); Imgproc.Canny(inputFrame.gray(), mIntermediateMat, 80, 100); Imgproc.cvtColor(mIntermediateMat, mRgba, Imgproc.COLOR_GRAY2RGBA, 4); break; case VIEW_MODE_HOUGH: mRgba = inputFrame.rgba(); Mat lines = new Mat(); Imgproc.Canny(inputFrame.gray(), mIntermediateMat, 80, 100); Imgproc.HoughLinesP(mIntermediateMat,lines, 1, Math.PI/180, threshold,minLineSize, lineGap); Log.d("Linee", Integer.toString(lines.rows())); for (int x = 0; x < lines.rows(); x++) { double[] vec = lines.get(x, 0); double x1 = vec[0], y1 = vec[1], x2 = vec[2], y2 = vec[3]; Point start = new Point(x1, y1); Point end = new Point(x2, y2); double dx = x1 - x2; double dy = y1 - y2; double m = Math.toDegrees(Math.atan(dy / dx)); Log.d("Angolo", Double.toString(m)); double dist = Math.sqrt(dx * dx + dy * dy); Log.d("Distanza", Double.toString(dist)); //calcola le classi in base all'angolo del coefficiente angolare if (dist > 50.d) { if (isBetween(m, -90.0, -60.0)) { classi[0] = classi[0] + 1; } if (isBetween(m, -60.0, -30.0)) { classi[1] = classi[1] + 1; } if (isBetween(m, -30.0, 0.0)) { classi[2] = classi[2] + 1; } if (isBetween(m, 0.0, 30.0)) { classi[3] = classi[3] + 1; } if (isBetween(m, 30.0, 60.0)) { classi[4] = classi[4] + 1; } if (isBetween(m, 60.0, 90.0)) { classi[5] = classi[5] + 1; }//sovrappone le Hough Lines Imgproc.line(mRgba, start, end, new Scalar(255,0, 0, 1),2); } } break; case VIEW_MODE_FEATURES: // input frame has RGBA format mRgba = inputFrame.rgba(); mGray = inputFrame.gray(); break; } runOnUiThread(new Runnable() { @Override public void run() { testo.setText(" -90/-60 "+Integer.toString(classi[0])+"\n" + " -60/-30 "+Integer.toString(classi[1])+"\n" + " -30/0 "+Integer.toString(classi[2])+"\n" + " 0/30 "+Integer.toString(classi[3])+"\n" + " 30/60 "+Integer.toString(classi[4])+"\n" + " 60/90 "+Integer.toString(classi[5])+"\n" ); } }); return mRgba; } public boolean onOptionsItemSelected(MenuItem item) { Log.i(TAG, "called onOptionsItemSelected; selected item: " + item); if (item == mItemPreviewRGBA) { mViewMode = VIEW_MODE_RGBA; } else if (item == mItemPreviewGray) { mViewMode = VIEW_MODE_GRAY; } else if (item == mItemPreviewCanny) { mViewMode = VIEW_MODE_CANNY; } else if (item == mItemPreviewFeatures) { mViewMode = VIEW_MODE_FEATURES; } return true; } }---------------------------------
