예제 #1
0
  public static void assertEqualsRelative(ImageBase imgA, ImageBase imgB, double tolFrac) {

    // if no specialized check exists, use a slower generalized approach
    if (imgA instanceof ImageSingleBand) {
      GImageSingleBand a = FactoryGImageSingleBand.wrap((ImageSingleBand) imgA);
      GImageSingleBand b = FactoryGImageSingleBand.wrap((ImageSingleBand) imgB);

      for (int y = 0; y < imgA.height; y++) {
        for (int x = 0; x < imgA.width; x++) {
          double valA = a.get(x, y).doubleValue();
          double valB = b.get(x, y).doubleValue();

          double difference = valA - valB;
          double max = Math.max(Math.abs(valA), Math.abs(valB));
          if (max == 0) max = 1;
          if (Math.abs(difference) / max > tolFrac)
            throw new RuntimeException(
                "Values not equal at (" + x + "," + y + ") " + valA + "  " + valB);
        }
      }
    } else if (imgA instanceof MultiSpectral) {
      MultiSpectral a = (MultiSpectral) imgA;
      MultiSpectral b = (MultiSpectral) imgB;

      if (a.getNumBands() != b.getNumBands())
        throw new RuntimeException("Number of bands not equal");

      for (int band = 0; band < a.getNumBands(); band++) {
        assertEqualsRelative(a.getBand(band), b.getBand(band), tolFrac);
      }
    } else {
      throw new RuntimeException("Unknown image type");
    }
  }
  private void undoRadialDistortion(BufferedImage image) {
    ConvertBufferedImage.convertFromMulti(image, origMS, true, ImageFloat32.class);

    for (int i = 0; i < origMS.getNumBands(); i++) {
      ImageFloat32 in = origMS.getBand(i);
      ImageFloat32 out = correctedMS.getBand(i);

      undoRadial.apply(in, out);
    }
    if (correctedMS.getNumBands() == 3)
      ConvertBufferedImage.convertTo(correctedMS, undistorted, true);
    else if (correctedMS.getNumBands() == 1)
      ConvertBufferedImage.convertTo(correctedMS.getBand(0), undistorted);
    else throw new RuntimeException("What kind of image has " + correctedMS.getNumBands() + "???");
  }
  @Override
  public void setImage(MultiSpectral<T> image) {
    gray.reshape(image.width, image.height);
    grayII.reshape(image.width, image.height);
    bandII.reshape(image.width, image.height);

    GConvertImage.average(image, gray);
    GIntegralImageOps.transform(gray, grayII);
    for (int i = 0; i < image.getNumBands(); i++)
      GIntegralImageOps.transform(image.getBand(i), bandII.getBand(i));

    alg.setImage(grayII, bandII);
  }
예제 #4
0
  public static void assertEqualsInner(
      ImageBase imgA, ImageBase imgB, double tol, int borderX, int borderY, boolean relative) {

    // if no specialized check exists, use a slower generalized approach
    if (imgA instanceof ImageSingleBand) {
      GImageSingleBand a = FactoryGImageSingleBand.wrap((ImageSingleBand) imgA);
      GImageSingleBand b = FactoryGImageSingleBand.wrap((ImageSingleBand) imgB);

      for (int y = borderY; y < imgA.height - borderY; y++) {
        for (int x = borderX; x < imgA.width - borderX; x++) {
          double valA = a.get(x, y).doubleValue();
          double valB = b.get(x, y).doubleValue();

          double error = Math.abs(valA - valB);
          if (relative) {
            double denominator = Math.abs(valA) + Math.abs(valB);
            if (denominator == 0) denominator = 1;
            error /= denominator;
          }
          if (error > tol)
            throw new RuntimeException(
                "Values not equal at (" + x + "," + y + ") " + valA + "  " + valB);
        }
      }
    } else if (imgA instanceof MultiSpectral) {
      MultiSpectral a = (MultiSpectral) imgA;
      MultiSpectral b = (MultiSpectral) imgB;

      if (a.getNumBands() != b.getNumBands())
        throw new RuntimeException("Number of bands not equal");

      for (int band = 0; band < a.getNumBands(); band++) {
        assertEqualsInner(a.getBand(band), b.getBand(band), tol, borderX, borderY, relative);
      }
    } else {
      throw new RuntimeException("Unknown image type");
    }
  }
예제 #5
0
  public static void checkEquals(
      BufferedImage imgA, MultiSpectral imgB, boolean boofcvBandOrder, float tol) {

    if (imgA.getRaster() instanceof ByteInterleavedRaster
        && imgA.getType() != BufferedImage.TYPE_BYTE_INDEXED) {
      ByteInterleavedRaster raster = (ByteInterleavedRaster) imgA.getRaster();

      if (raster.getNumBands() == 1) {
        GImageSingleBand band = FactoryGImageSingleBand.wrap(imgB.getBand(0));

        int strideA = raster.getScanlineStride();
        int offsetA = raster.getDataOffset(0) - raster.getPixelStride() + 1;

        // handle a special case where the RGB conversion is screwed
        for (int i = 0; i < imgA.getHeight(); i++) {
          for (int j = 0; j < imgA.getWidth(); j++) {
            double valB = band.get(j, i).doubleValue();
            int valA = raster.getDataStorage()[offsetA + i * strideA + j];
            valA &= 0xFF;

            if (Math.abs(valA - valB) > tol)
              throw new RuntimeException("Images are not equal: A = " + valA + " B = " + valB);
          }
        }
        return;
      }
    }

    int bandOrder[];

    if (boofcvBandOrder) {
      if (imgB.getNumBands() == 4) {
        bandOrder = new int[] {1, 2, 3, 0};
      } else {
        bandOrder = new int[] {0, 1, 2};
      }
    } else {
      if (imgA.getType() == BufferedImage.TYPE_INT_RGB) {
        bandOrder = new int[] {0, 1, 2};
      } else if (imgA.getType() == BufferedImage.TYPE_INT_BGR
          || imgA.getType() == BufferedImage.TYPE_3BYTE_BGR) {
        bandOrder = new int[] {2, 1, 0};
      } else if (imgA.getType() == BufferedImage.TYPE_4BYTE_ABGR) {
        bandOrder = new int[] {0, 3, 2, 1};
      } else if (imgA.getType() == BufferedImage.TYPE_INT_ARGB) {
        bandOrder = new int[] {0, 1, 2, 3};
      } else {
        bandOrder = new int[] {0, 1, 2};
      }
    }

    int expected[] = new int[4];

    for (int y = 0; y < imgA.getHeight(); y++) {
      for (int x = 0; x < imgA.getWidth(); x++) {
        // getRGB() automatically converts the band order to ARGB
        int rgb = imgA.getRGB(x, y);

        expected[0] = ((rgb >>> 24) & 0xFF); // alpha
        expected[1] = ((rgb >>> 16) & 0xFF); // red
        expected[2] = ((rgb >>> 8) & 0xFF); // green
        expected[3] = (rgb & 0xFF); // blue

        if (imgB.getNumBands() == 4) {

          for (int i = 0; i < 4; i++) {
            double found = GeneralizedImageOps.get(imgB.getBand(bandOrder[i]), x, y);
            if (Math.abs(Math.exp(expected[i] - found)) > tol) {
              for (int j = 0; j < 4; j++) {
                System.out.println(
                    expected[j] + " " + GeneralizedImageOps.get(imgB.getBand(bandOrder[j]), x, y));
              }
              throw new RuntimeException(
                  "Images are not equal: band - " + i + " type " + imgA.getType());
            }
          }

        } else if (imgB.getNumBands() == 3) {

          for (int i = 0; i < 3; i++) {
            double found = GeneralizedImageOps.get(imgB.getBand(bandOrder[i]), x, y);
            if (Math.abs(expected[i + 1] - found) > tol) {
              for (int j = 0; j < 3; j++) {
                System.out.println(
                    expected[j + 1]
                        + " "
                        + GeneralizedImageOps.get(imgB.getBand(bandOrder[j]), x, y));
              }
              throw new RuntimeException(
                  "Images are not equal: band - " + i + " type " + imgA.getType());
            }
          }

        } else {
          throw new RuntimeException("Unexpectd number of bands");
        }
      }
    }
  }
예제 #6
0
  public static void checkEquals(WritableRaster imgA, MultiSpectral imgB, float tol) {

    if (imgA.getNumBands() != imgB.getNumBands()) {
      throw new RuntimeException("Number of bands not equals");
    }

    if (imgA instanceof ByteInterleavedRaster) {
      ByteInterleavedRaster raster = (ByteInterleavedRaster) imgA;

      byte dataA[] = raster.getDataStorage();
      int strideA = raster.getScanlineStride();
      int offsetA = raster.getDataOffset(0) - raster.getPixelStride() + 1;

      // handle a special case where the RGB conversion is screwed
      for (int y = 0; y < imgA.getHeight(); y++) {
        int indexA = offsetA + strideA * y;

        for (int x = 0; x < imgA.getWidth(); x++) {
          for (int k = 0; k < imgB.getNumBands(); k++) {
            int valueA = dataA[indexA++] & 0xFF;
            double valueB = GeneralizedImageOps.get(imgB.getBand(k), x, y);
            if (Math.abs(valueA - valueB) > tol)
              throw new RuntimeException("Images are not equal: A = " + valueA + " B = " + valueB);
          }
        }
      }

    } else if (imgA instanceof IntegerInterleavedRaster) {
      IntegerInterleavedRaster raster = (IntegerInterleavedRaster) imgA;

      int dataA[] = raster.getDataStorage();
      int strideA = raster.getScanlineStride();
      int offsetA = raster.getDataOffset(0) - raster.getPixelStride() + 1;

      // handle a special case where the RGB conversion is screwed
      for (int y = 0; y < imgA.getHeight(); y++) {
        int indexA = offsetA + strideA * y;

        for (int x = 0; x < imgA.getWidth(); x++) {
          int valueA = dataA[indexA++];
          if (imgB.getNumBands() == 4) {
            int found0 = (valueA >> 24) & 0xFF;
            int found1 = (valueA >> 16) & 0xFF;
            int found2 = (valueA >> 8) & 0xFF;
            int found3 = valueA & 0xFF;

            double expected0 = GeneralizedImageOps.get(imgB.getBand(0), x, y);
            double expected1 = GeneralizedImageOps.get(imgB.getBand(1), x, y);
            double expected2 = GeneralizedImageOps.get(imgB.getBand(2), x, y);
            double expected3 = GeneralizedImageOps.get(imgB.getBand(3), x, y);

            if (Math.abs(found0 - expected0) > tol)
              throw new RuntimeException("Images are not equal");
            if (Math.abs(found1 - expected1) > tol)
              throw new RuntimeException("Images are not equal");
            if (Math.abs(found2 - expected2) > tol)
              throw new RuntimeException("Images are not equal");
            if (Math.abs(found3 - expected3) > tol)
              throw new RuntimeException("Images are not equal");
          } else if (imgB.getNumBands() == 3) {
            int found0 = (valueA >> 16) & 0xFF;
            int found1 = (valueA >> 8) & 0xFF;
            int found2 = valueA & 0xFF;

            double expected0 = GeneralizedImageOps.get(imgB.getBand(0), x, y);
            double expected1 = GeneralizedImageOps.get(imgB.getBand(1), x, y);
            double expected2 = GeneralizedImageOps.get(imgB.getBand(2), x, y);

            if (Math.abs(found0 - expected0) > tol)
              throw new RuntimeException("Images are not equal");
            if (Math.abs(found1 - expected1) > tol)
              throw new RuntimeException("Images are not equal");
            if (Math.abs(found2 - expected2) > tol)
              throw new RuntimeException("Images are not equal");
          } else {
            throw new RuntimeException("Unexpectd number of bands");
          }
        }
      }
    } else {
      throw new RuntimeException("Add support for raster type " + imgA.getClass().getSimpleName());
    }
  }
  public <II extends ImageSingleBand> double[][] harder(BufferedImage image) {
    MultiSpectral<ImageFloat32> colorImage =
        ConvertBufferedImage.convertFromMulti(image, null, true, ImageFloat32.class);
    // convert the color image to greyscale
    ImageFloat32 greyscaleImage =
        ConvertImage.average((MultiSpectral<ImageFloat32>) colorImage, null);

    // SURF works off of integral images
    Class<II> integralType = GIntegralImageOps.getIntegralType(ImageFloat32.class);

    // define the feature detection algorithm
    NonMaxSuppression extractor =
        FactoryFeatureExtractor.nonmax(new ConfigExtract(2, detectThreshold, 5, true));
    FastHessianFeatureDetector<II> detector =
        new FastHessianFeatureDetector<II>(extractor, maxFeaturesPerScale, 2, 9, 4, 4);

    // estimate orientation
    OrientationIntegral<II> orientation = FactoryOrientationAlgs.sliding_ii(null, integralType);

    DescribePointSurf<II> descriptor =
        FactoryDescribePointAlgs.<II>surfStability(null, integralType);

    // compute the integral image of the greyscale 'image'
    II integralgrey =
        GeneralizedImageOps.createSingleBand(
            integralType, greyscaleImage.width, greyscaleImage.height);
    GIntegralImageOps.transform(greyscaleImage, integralgrey);

    // detect fast hessian features
    detector.detect(integralgrey);

    // === This is the point were the code starts deviating from the standard SURF! ===
    // tell algorithms which image to process
    orientation.setImage(integralgrey);

    List<ScalePoint> points = detector.getFoundPoints();
    double[][] descriptions = new double[points.size()][3 * descriptor.getDescriptionLength()];

    double[] angles = new double[points.size()];
    int l = 0;
    for (ScalePoint p : points) {
      orientation.setScale(p.scale);
      angles[l] = orientation.compute(p.x, p.y);
      l++;
    }

    for (int i = 0; i < 3; i++) {
      // check if it is actually a greyscale image, take always the 1st band!
      ImageFloat32 colorImageBand = null;
      if (colorImage.getNumBands() == 1) {
        colorImageBand = colorImage.getBand(0);
      } else {
        colorImageBand = colorImage.getBand(i);
      }

      // compute the integral image of the i-th band of the color 'image'
      II integralband =
          GeneralizedImageOps.createSingleBand(
              integralType, colorImageBand.width, colorImageBand.height);
      GIntegralImageOps.transform(colorImageBand, integralband);

      // tell algorithms which image to process
      // orientation.setImage(integralband);
      descriptor.setImage(integralband);

      int j = 0;
      for (ScalePoint p : points) {
        // estimate orientation
        // orientation.setScale(p.scale);
        // double angle = orientation.compute(p.x, p.y);
        // extract the SURF description for this region
        SurfFeature desc = descriptor.createDescription();
        descriptor.describe(p.x, p.y, angles[j], p.scale, (TupleDesc_F64) desc);
        double[] banddesc = desc.getValue();
        if (perBandNormalization) {
          banddesc = Normalization.normalizeL2(banddesc);
        }
        for (int k = 0; k < SURFLength; k++) {
          descriptions[j][i * SURFLength + k] = banddesc[k];
        }
        j++;
      }
    }

    return descriptions;
  }