Пример #1
0
  private void fitTemplate() {
    int startX = 0, startY = 0;
    int endX = img.getWidth() - bestfit.getTemplate().getWidth();
    int endY = img.getHeight() - bestfit.getTemplate().getHeight();

    centerTemplate(startX, startY, endX, endY, 3);
    templateXOR(img, bestfit.getX(), bestfit.getY(), bestfit.getTemplate(), true);

    sizeTemplate();
    aspectTemplate();
    shiftTemplate();
    sizeTemplate();
    aspectTemplate();
    shiftTemplate();
    templateXOR(img, bestfit.getX(), bestfit.getY(), bestfit.getTemplate(), true);
  }
Пример #2
0
 private void shiftTemplate() {
   double maxsim =
       1.0 - templateXOR(img, bestfit.getX(), bestfit.getY(), bestfit.getTemplate(), false);
   // System.out.println("maxsim = " + maxsim + ":" + bestfit.getSim());
   int oldX = bestfit.getX();
   int oldY = bestfit.getY();
   for (int newX = oldX - 2; newX <= oldX + 2; newX++) {
     for (int newY = oldY - 2; newY <= oldY + 2; newY++) {
       double currsim = 1.0 - templateXOR(img, newX, newY, bestfit.getTemplate(), false);
       if (currsim > maxsim) {
         // System.out.println("--newX = " + newX
         // + ": newY = " + newY + ":" + currsim);
         bestfit.setX(newX);
         bestfit.setY(newY);
         bestfit.setSim(currsim);
         maxsim = currsim;
       }
     }
   }
 }
Пример #3
0
  private void centerTemplate(int startX, int startY, int endX, int endY, int granularity) {
    int stepX = bestfit.getTemplate().getWidth() / granularity;
    int stepY = bestfit.getTemplate().getHeight() / granularity;
    // System.out.println("stepX = " + stepX + ": stepY = " + stepY);

    double maxsim = -1;
    int simi = -1, simj = -1;
    for (int iCount = startX; iCount <= endX; iCount += stepX) {
      for (int jCount = startY; jCount <= endY; jCount += stepY) {
        double currsim = 1.0 - templateXOR(img, iCount, jCount, bestfit.getTemplate(), false);
        // System.out.println(i + ":" + j + ":" + currsim);
        if (maxsim == -1 || maxsim < currsim) {
          maxsim = currsim;
          simi = iCount;
          simj = jCount;
        }
      }
    }

    // System.out.println("--- maxsim = " + maxsim + ":"
    // + simi + ":" + simj);
    if (maxsim > 0.5) {
      if (stepX >= 4) { // up to an accuracy of 2 pixels
        centerTemplate(
            Math.max(simi - stepX / 2, 0),
            Math.max(simj - stepY / 2, 0),
            Math.min(simi + stepX / 2, img.getWidth()),
            Math.min(simj + stepY / 2, img.getHeight()),
            granularity * 2);
      } else {
        bestfit.setX(simi);
        bestfit.setY(simj);
        bestfit.setSim(maxsim);
      }
    }
  }
Пример #4
0
 private void aspectTemplate() {
   Gray8Image template = (Gray8Image) (bestfit.getTemplate().createCopy());
   double maxsim = 1.0 - templateXOR(img, bestfit.getX(), bestfit.getY(), template, false);
   // System.out.println("maxsim = " + maxsim + ":" + bestfit.getSim());
   double oldaspectscale = bestfit.getAspectScale();
   for (double aspectscale = oldaspectscale - 0.05;
       aspectscale <= oldaspectscale + 0.05;
       aspectscale += 0.0025) {
     fillTemplate(
         template, bestfit.getApproxCircleOuterX(), bestfit.getApproxCircleInnerX(), aspectscale);
     double currsim = 1.0 - templateXOR(img, bestfit.getX(), bestfit.getY(), template, false);
     if (currsim > maxsim) {
       // System.out.println("--aspectscale = " + aspectscale
       // + ":" + currsim);
       bestfit.setTemplate(template);
       bestfit.setAspectScale(aspectscale);
       bestfit.setSim(currsim);
       template = (Gray8Image) (bestfit.getTemplate().createCopy());
       maxsim = currsim;
     }
   }
 }
Пример #5
0
  private void sizeTemplate() {
    Gray8Image template = (Gray8Image) (bestfit.getTemplate().createCopy());
    double maxsim = 1.0 - templateXOR(img, bestfit.getX(), bestfit.getY(), template, false);
    for (double outerdiam = bestfit.getApproxCircleOuterX() - 1; outerdiam > 0; outerdiam--) {
      fillTemplate(template, outerdiam, bestfit.getApproxCircleInnerX(), bestfit.getAspectScale());
      double currsim = 1.0 - templateXOR(img, bestfit.getX(), bestfit.getY(), template, false);
      if (currsim < maxsim) {
        break;
      } else {
        // System.out.println("--outerdiam = " + outerdiam
        // + ":" + currsim);
        bestfit.setTemplate(template);
        bestfit.setApproxCircleOuterX(outerdiam);
        bestfit.setSim(currsim);
        template = (Gray8Image) (bestfit.getTemplate().createCopy());
        maxsim = currsim;
      }
    }

    for (double innerdiam = bestfit.approxCircleInnerX - 1; innerdiam > 0; innerdiam--) {
      fillTemplate(template, bestfit.getApproxCircleOuterX(), innerdiam, bestfit.getAspectScale());
      double currsim = 1.0 - templateXOR(img, bestfit.getX(), bestfit.getY(), template, false);
      if (currsim < maxsim) {
        break;
      } else {
        // System.out.println("--innerdiam = " + innerdiam
        // + ":" + currsim);
        bestfit.setTemplate(template);
        bestfit.setApproxCircleInnerX(innerdiam);
        bestfit.setSim(currsim);
        template = (Gray8Image) (bestfit.getTemplate().createCopy());
        maxsim = currsim;
      }
    }
  }