Updating the ball log likelihood example

examples/img_proc/ball_log_lh.cpp

@@ -36,6 +36,7 @@ int main(int argc, char** argv) {
 
     json jobj = load_json(vm["conf"].as<string>());
     BallLogLikelihood bll(jobj.at("ball_log_lh"));
+    Binarizer bin(jobj.at("binarizer"));
 
     string fname = vm["input"].as<string>();
     Mat img = imread(fname, CV_LOAD_IMAGE_COLOR);
@@ -51,19 +52,25 @@ int main(int argc, char** argv) {
               " milliseconds" << endl;
     Mat log_lh_norm;
     normalize(im_proc, log_lh_norm, 0, 1, NORM_MINMAX);
-    imshow("Color", log_lh_norm);
+    imshow("Log likelihood equalized", log_lh_norm);
+    waitKey(0);
+
+    //Probabilities
+    Mat t1, t2;
+    t1 = -im_proc;
+    exp(t1, t1);
+    t2 = 1.0/(1.0 + t1);
+    imshow("Probabilities", t2);
     waitKey(0);
 
-    double p = 0.95;
-    double thresh = log(p/(1-p)); 
     Mat bin_img;
     start_t = std::chrono::steady_clock::now();
-    threshold(im_proc, bin_img, thresh, 1, THRESH_BINARY_INV);
+    bin_img = bin(im_proc);
     end_t = std::chrono::steady_clock::now();
     std::cout << "Binarization took "
               << std::chrono::duration_cast<std::chrono::milliseconds>(end_t - start_t).count() << 
               " milliseconds" << endl;
-    imshow("Color", bin_img);
+    imshow("Binarized", bin_img);
     waitKey(0); 
 
     if (vm.count("output")) {