本文整理了Java中ij.plugin.filter.GaussianBlur.blurFloat()方法的一些代码示例，展示了GaussianBlur.blurFloat()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。GaussianBlur.blurFloat()方法的具体详情如下：
包路径：ij.plugin.filter.GaussianBlur
类名称：GaussianBlur
方法名：blurFloat

GaussianBlur.blurFloat介绍

[英]Gaussian Filtering of a FloatProcessor. This method does NOT include resetOutOfRoi(ip), i.e., pixels above and below the roi rectangle will be also subject to filtering in x direction and must be restored afterwards (unless the full image height is processed).
[中]浮点处理器的高斯滤波。此方法不包括resetOutOfRoi（ip），即，roi矩形上方和下方的像素也将在x方向进行过滤，并且必须在之后恢复（除非处理完整图像高度）。

代码示例

代码示例来源：origin: mpicbg/mpicbg

/**
   * Smooth with a Gaussian kernel that represents downsampling at a given
   * scale factor and sourceSigma.
   */
  final static public void smoothForScale(
      final FloatProcessor source,
      final double scale,
      final float sourceSigma,
      final float targetSigma )
  {
    assert scale <= 1.0f : "Downsampling requires a scale factor < 1.0";

    final double s = targetSigma / scale;
    final double v = s * s - sourceSigma * sourceSigma;
    if ( v <= 0 )
      return;
    final float sigma = ( float )Math.sqrt( v );
//        final float[] kernel = createNormalizedGaussianKernel( sigma );
//        convolveSeparable( source, kernel, kernel );
    new GaussianBlur().blurFloat( source, sigma, sigma, 0.01 );
  }

代码示例来源：origin: axtimwalde/mpicbg

/**
   * Smooth with a Gaussian kernel that represents downsampling at a given
   * scale factor and sourceSigma.
   */
  final static public void smoothForScale(
      final FloatProcessor source,
      final double scale,
      final float sourceSigma,
      final float targetSigma )
  {
    assert scale <= 1.0f : "Downsampling requires a scale factor < 1.0";

    final double s = targetSigma / scale;
    final double v = s * s - sourceSigma * sourceSigma;
    if ( v <= 0 )
      return;
    final float sigma = ( float )Math.sqrt( v );
//        final float[] kernel = createNormalizedGaussianKernel( sigma );
//        convolveSeparable( source, kernel, kernel );
    new GaussianBlur().blurFloat( source, sigma, sigma, 0.01 );
  }

代码示例来源：origin: sc.fiji/TrakEM2_

/** WARNING will resize the FloatProcessorT2 source in place, unlike ImageJ standard FloatProcessor class. */
static final private byte[] gaussianBlurResizeInHalf(final FloatProcessorT2 source)
{
  new GaussianBlur().blurFloat( source, SIGMA_2, SIGMA_2, 0.01 );
  source.halfSizeInPlace();
  
  return (byte[])source.convertToByte(false).getPixels(); // no scaling
}

代码示例来源：origin: net.imagej/ij

/** Gaussian Filtering of an ImageProcessor
 * @param ip       The ImageProcessor to be filtered.
 * @param sigmaX   Standard deviation of the Gaussian in x direction (pixels)
 * @param sigmaY   Standard deviation of the Gaussian in y direction (pixels)
 * @param accuracy Accuracy of kernel, should not be above 0.02. Better (lower)
 *    accuracy needs slightly more computing time.
 */
public void blurGaussian(ImageProcessor ip, double sigmaX, double sigmaY, double accuracy) {
  boolean hasRoi = ip.getRoi().height!=ip.getHeight() && sigmaX>0 && sigmaY>0;
  if (hasRoi && !calledAsPlugin)
    ip.snapshot();
  if (nPasses<=1)
    nPasses = ip.getNChannels() * (sigmaX>0 && sigmaY>0 ? 2 : 1);
  FloatProcessor fp = null;
  for (int i=0; i<ip.getNChannels(); i++) {
    fp = ip.toFloat(i, fp);
    if (Thread.currentThread().isInterrupted()) return; // interruption for new parameters during preview?
    blurFloat(fp, sigmaX, sigmaY, accuracy);
    if (Thread.currentThread().isInterrupted()) return;
    ip.setPixels(i, fp);
  }
  if (hasRoi)
    resetOutOfRoi(ip, (int)Math.ceil(5*sigmaY)); // reset out-of-Rectangle pixels above and below roi
  return;
}

代码示例来源：origin: imagej/ImageJA

/** Gaussian Filtering of an ImageProcessor
 * @param ip       The ImageProcessor to be filtered.
 * @param sigmaX   Standard deviation of the Gaussian in x direction (pixels)
 * @param sigmaY   Standard deviation of the Gaussian in y direction (pixels)
 * @param accuracy Accuracy of kernel, should not be above 0.02. Better (lower)
 *    accuracy needs slightly more computing time.
 */
public void blurGaussian(ImageProcessor ip, double sigmaX, double sigmaY, double accuracy) {
  boolean hasRoi = ip.getRoi().height!=ip.getHeight() && sigmaX>0 && sigmaY>0;
  if (hasRoi && !calledAsPlugin)
    ip.snapshot();
  if (nPasses<=1)
    nPasses = ip.getNChannels() * (sigmaX>0 && sigmaY>0 ? 2 : 1);
  FloatProcessor fp = null;
  for (int i=0; i<ip.getNChannels(); i++) {
    fp = ip.toFloat(i, fp);
    if (Thread.currentThread().isInterrupted()) return; // interruption for new parameters during preview?
    blurFloat(fp, sigmaX, sigmaY, accuracy);
    if (Thread.currentThread().isInterrupted()) return;
    ip.setPixels(i, fp);
  }
  if (hasRoi)
    resetOutOfRoi(ip, (int)Math.ceil(5*sigmaY)); // reset out-of-Rectangle pixels above and below roi
  return;
}

代码示例来源：origin: sc.fiji/TrakEM2_

/**
 * Gaussian-downsample to the target dimensions
 * @param ip
 * @return
 */
protected FloatProcessor gaussianDownsampled( final FloatProcessor ip )
{
  loader.releaseToFit( ( (float[])ip.getPixels() ).length * 2 );
  // Gaussian-downsample
  final double sigma = computeSigma( ip.getWidth(), ip.getHeight() );
  Utils.log("Gaussian downsampling. If this is slow, check the number of threads in the plugin preferences.");
  new GaussianBlur().blurFloat( ip, sigma, sigma, 0.0002 );
  ip.setInterpolationMethod( ImageProcessor.NEAREST_NEIGHBOR );
  return (FloatProcessor) ip.resize( ( int ) Math.ceil( finalBox.width * scale ) );
}

代码示例来源：origin: sc.fiji/Fiji_Plugins

public static ImagePlus getShapeIndexMap(final ImagePlus image, final double gaussianBlurRadius) {
  final ImageStack stack = image.getStack();
  final ImageStack result = new ImageStack(image.getWidth(), image.getHeight());
  for (int i = 1; i <= stack.getSize(); i++) {
    ImageProcessor ip = stack.getProcessor(i);
    if (gaussianBlurRadius > 0) {
      final FloatProcessor fp = (FloatProcessor)
        (image.getType() != ImagePlus.GRAY32 ? ip.convertToFloat() : ip.duplicate());
      if (gaussianBlur == null)
        gaussianBlur = new GaussianBlur();
      gaussianBlur.blurFloat(fp, gaussianBlurRadius, gaussianBlurRadius, 0.02);
      ip = fp;
    }
    result.addSlice("", getShapeIndex(ip));
  }
  return new ImagePlus("Shape index of " + image.getTitle(), result);
}

代码示例来源：origin: mpicbg/mpicbg_

filter.blurFloat( ipD, sigma, sigma, 0.002 );

代码示例来源：origin: axtimwalde/mpicbg

filter.blurFloat( ipD, sigma, sigma, 0.002 );