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Java ImagePlusAdapter类代码示例

本文整理汇总了Java中net.imglib2.img.ImagePlusAdapter的典型用法代码示例。如果您正苦于以下问题:Java ImagePlusAdapter类的具体用法?Java ImagePlusAdapter怎么用?Java ImagePlusAdapter使用的例子?那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。


ImagePlusAdapter类属于net.imglib2.img包,在下文中一共展示了ImagePlusAdapter类的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Java代码示例。

示例1: main

import net.imglib2.img.ImagePlusAdapter; //导入依赖的package包/类
public static < T extends RealType< T > & NativeType< T >> void main( final String[] args )
{
	ImageJ.main( args );
	final File file = new File( "DrosophilaWing.tif" );
	final ImagePlus imp = IJ.openImage( file.getAbsolutePath() );
	final Img< T > img = ImagePlusAdapter.wrap( imp );

	final long start = System.currentTimeMillis();

	final Shape shape = new DiamondTipsShape( 10 );
	final Img< T > target = Dilation.dilate( img, shape, 1 );

	final long end = System.currentTimeMillis();

	System.out.println( "Processing done in " + ( end - start ) + " ms." );

	ImageJFunctions.show( img );
	ImageJFunctions.show( target );

}
 
开发者ID:imglib,项目名称:imglib2-tests,代码行数:21,代码来源:DiamondTipsNeighborhoodTest.java

示例2: main

import net.imglib2.img.ImagePlusAdapter; //导入依赖的package包/类
public static void main( String[] args )
	{
		String srcImgFn = "/groups/jain/home/bogovicj/learning/advanced-imglib2/images/bee-1.tif";
		Img<FloatType> img =  ImagePlusAdapter.convertFloat( IJ.openImage(srcImgFn) );
	
		int[] sz = new int[]{ (int)img.dimension(0), (int)img.dimension(1) };
		Img<FloatType> img2 = ImgOps.createGradientImgX( sz, new FloatType());			

		//imageStats( img );
		//imageTextureStats( img );
	
		// function that normalizes to range [0,1] 
//		Normalize<FloatType> nrmFun = new Normalize<FloatType>( 
//			0, 255, 0, 1);	
//		evalFun( img, nrmFun );

		// add the images
		RealAdd<FloatType,FloatType,FloatType> sumfun = new RealAdd<FloatType,FloatType,FloatType>();
		evalFun( img, img2, sumfun );

		System.out.println("finished");
		System.exit(0);
	}
 
开发者ID:bogovicj,项目名称:hhmi-exp,代码行数:24,代码来源:OpsExamples.java

示例3: tryMatchRegistration

import net.imglib2.img.ImagePlusAdapter; //导入依赖的package包/类
public static void tryMatchRegistration() 
	{
		String imgfn = "/data-ssd1/john/projects/crackSegmentation/crackVolDown_cp.tif";
		String maskfn = "/data-ssd1/john/projects/crackSegmentation/Labels_ds_interp_cp_smooth.tif";
		int[] patchSize = new int[] { 19, 19, 7 };
		
		Img<FloatType> img =  ImagePlusAdapter.convertFloat( IJ.openImage(imgfn) );
		Img<FloatType> mask = ImagePlusAdapter.convertFloat( IJ.openImage(maskfn) );

		CrackCorrection<FloatType> cc = new CrackCorrection<FloatType>(
				img, mask, patchSize);
		cc.computeEdgels();
		
		int i = cc.edgelIdxNearest(new double[]{67,290,13});
		int j = cc.edgelIdxNearest(new double[]{69,311,13});
		
		System.out.println(" i: " + i + "  " + cc.getEdgels().get(i));
		System.out.println(" j: " + j + "  " + cc.getEdgels().get(j));
	
		cc.debugOutDir = "/data-ssd1/john/projects/crackPatching/edgelRegPatch";
//		cc.registerEdgelsOrient( cc.getEdgels().get(i), cc.getEdgels().get(j), i);
		
	}
 
开发者ID:bogovicj,项目名称:hhmi-exp,代码行数:24,代码来源:EdgelMatchingExps.java

示例4: createImgLib2

import net.imglib2.img.ImagePlusAdapter; //导入依赖的package包/类
public static FloatImagePlus< net.imglib2.type.numeric.real.FloatType > createImgLib2( final List< float[] > img, final int w, final int h )
{
	final ImagePlus imp;

	if ( img.size() > 1 )
	{
		final ImageStack stack = new ImageStack( w, h );
		for ( int z = 0; z < img.size(); ++z )
			stack.addSlice( new FloatProcessor( w, h, img.get( z ) ) );
		imp = new ImagePlus( "ImgLib2 FloatImagePlus (3d)", stack );
	}
	else
	{
		imp = new ImagePlus( "ImgLib2 FloatImagePlus (2d)", new FloatProcessor( w, h, img.get( 0 ) ) );
	}

	return ImagePlusAdapter.wrapFloat( imp );
}
 
开发者ID:fiji,项目名称:SPIM_Registration,代码行数:19,代码来源:InteractiveDoG.java

示例5: produceNoiseImage

import net.imglib2.img.ImagePlusAdapter; //导入依赖的package包/类
/**
 * Creates a noisy image that is created by repeatedly adding points
 * with random intensity to the canvas. That way it tries to mimic the
 * way a microscope produces images.
 *
 * @param <T> The wanted output type.
 * @param width The image width.
 * @param height The image height.
 * @param dotSize The size of the dots.
 * @param numDots The number of dots.
 * @param smoothingSigma The two dimensional sigma for smoothing.
 * @return The noise image.
 */
public static <T extends RealType<T> & NativeType<T>> RandomAccessibleInterval<T> produceNoiseImage(int width,
		int height, float dotSize, int numDots) {
	/* For now (probably until ImageJ2 is out) we use an
	 * ImageJ image to draw circles.
	 */
	int options = NewImage.FILL_BLACK + NewImage.CHECK_AVAILABLE_MEMORY;
        ImagePlus img = NewImage.createByteImage("Noise", width, height, 1, options);
	ImageProcessor imp = img.getProcessor();

	float dotRadius = dotSize * 0.5f;
	int dotIntSize = (int) dotSize;

	for (int i=0; i < numDots; i++) {
		int x = (int) (Math.random() * width - dotRadius);
		int y = (int) (Math.random() * height - dotRadius);
		imp.setColor(Color.WHITE);
		imp.fillOval(x, y, dotIntSize, dotIntSize);
	}
	// we changed the data, so update it
	img.updateImage();
	// create the new image
	RandomAccessibleInterval<T> noiseImage = ImagePlusAdapter.wrap(img);

	return noiseImage;
}
 
开发者ID:fiji,项目名称:Colocalisation_Analysis,代码行数:39,代码来源:TestImageAccessor.java

示例6: createRectengularMaskImage

import net.imglib2.img.ImagePlusAdapter; //导入依赖的package包/类
/**
 * Creates a mask image with a black background and a white
 * rectangular foreground.
 *
 * @param width The width of the result image.
 * @param height The height of the result image.
 * @param offset The offset of the rectangular mask.
 * @param size The size of the rectangular mask.
 * @return A black image with a white rectangle on it.
 */
public static <T extends RealType<T> & NativeType<T>> RandomAccessibleInterval<T> createRectengularMaskImage(
		long width, long height, long[] offset, long[] size) {
	/* For now (probably until ImageJ2 is out) we use an
	 * ImageJ image to draw lines.
	 */
	int options = NewImage.FILL_BLACK + NewImage.CHECK_AVAILABLE_MEMORY;
        ImagePlus img = NewImage.createByteImage("Noise", (int)width, (int)height, 1, options);
	ImageProcessor imp = img.getProcessor();
	imp.setColor(Color.WHITE);
	Roi rect = new Roi(offset[0], offset[1], size[0], size[1]);

	imp.fill(rect);
	// we changed the data, so update it
	img.updateImage();

	return ImagePlusAdapter.wrap(img);
}
 
开发者ID:fiji,项目名称:Colocalisation_Analysis,代码行数:28,代码来源:TestImageAccessor.java

示例7: createImagePlusImage

import net.imglib2.img.ImagePlusAdapter; //导入依赖的package包/类
private ByteImagePlus<UnsignedByteType> createImagePlusImage(final ImageProcessor ip) {
	if ( dimensions.length == 1 )
		return null;
	if ( ip != null )
	{
		final ImagePlus imp = new ImagePlus("image", ip);
		return ImagePlusAdapter.wrapByte(imp);
	}
	if ( dimensions[ 0 ] * dimensions[ 1 ] > Integer.MAX_VALUE )
		return null;
	if ( numDimensions > 5 )
		return null;
	final ByteImagePlus<UnsignedByteType> imagePlusContainer = ( ByteImagePlus<UnsignedByteType> ) createImage( dimensions, new ImagePlusImgFactory< UnsignedByteType >() );
	return imagePlusContainer;
}
 
开发者ID:imglib,项目名称:imglib2-tests,代码行数:16,代码来源:ImglibBenchmark.java

示例8: main

import net.imglib2.img.ImagePlusAdapter; //导入依赖的package包/类
public static void main( final String[] args )
{
	final int delta = 15;
	final long minSize = 10;
	final long maxSize = 100*100;
	final double maxVar = 0.8;
	final double minDiversity = 0;

	final Img< UnsignedByteType > img;
	try
	{
		new ImageJ();
		IJ.run("Lena (68K)");
		IJ.run("8-bit");
		img = ImagePlusAdapter.wrapByte( IJ.getImage() );
	}
	catch ( final Exception e )
	{
		e.printStackTrace();
		return;
	}

	final ImagePlus impImg = IJ.getImage();
	final ImageStack stack = new ImageStack( (int) img.dimension( 0 ), (int) img.dimension( 1 ) );

	final MserTree< UnsignedByteType > treeDarkToBright = MserTree.buildMserTree( img, new UnsignedByteType( delta ), minSize, maxSize, maxVar, minDiversity, true );
	final MserTree< UnsignedByteType > treeBrightToDark = MserTree.buildMserTree( img, new UnsignedByteType( delta ), minSize, maxSize, maxVar, minDiversity, false );
	final MserTreeExample< UnsignedByteType > vis = new MserTreeExample< UnsignedByteType >( impImg, stack );
	vis.visualise( treeDarkToBright, Color.CYAN );
	vis.visualise( treeBrightToDark, Color.MAGENTA );

	final ImagePlus imp = new ImagePlus("components", stack);
	imp.show();
}
 
开发者ID:imglib,项目名称:imglib2-tests,代码行数:35,代码来源:MserTreeExample.java

示例9: main

import net.imglib2.img.ImagePlusAdapter; //导入依赖的package包/类
public static < T extends RealType< T > & NativeType< T >> void main( final String[] args )
{

	ImageJ.main( args );
	final File file = new File( "DrosophilaWing.tif" );
	// final File file = new File(
	// "/Users/JeanYves/Desktop/Data/brightblobs.tif" );
	final ImagePlus imp = IJ.openImage( file.getAbsolutePath() );
	final Img< T > img = ImagePlusAdapter.wrap( imp );

	final long start = System.currentTimeMillis();

	final Shape shape = new PairOfPointsShape( new long[] { -10, 20 } );
	final Img< T > target = Dilation.dilate( img, shape, 1 );

	final long end = System.currentTimeMillis();

	System.out.println( "Processing done in " + ( end - start ) + " ms." );

	ImageJFunctions.show( img );
	ImageJFunctions.show( target );

	final Shape shape2 = new PairOfPointsShape( new long[] { 10, -20 } );
	final Img< T > target2 = Dilation.dilate( img, shape2, 1 );
	ImageJFunctions.show( target2 );

	final Shape shape3 = new PairOfPointsShape( new long[] { 10, 20 } );
	final Img< T > target3 = Dilation.dilate( img, shape3, 1 );
	ImageJFunctions.show( target3 );

}
 
开发者ID:imglib,项目名称:imglib2-tests,代码行数:32,代码来源:PairOfPointsNeighborhoodTest.java

示例10: testClusteringReal

import net.imglib2.img.ImagePlusAdapter; //导入依赖的package包/类
public static void testClusteringReal(){
//		String destDir = "/Users/bogovicj/Documents/projects/crackStitching/edgeClustering";
		String destDir = "/groups/saalfeld/home/bogovicj/projects/crackStitching/edgeClustering/closeup";
		
		// load a volume
		int downSampleFactor = 4;
		String imgfn = "/data-ssd1/john/projects/crackSegmentation/groundTruth/closeup/img_ds"+downSampleFactor+".tif";
		String maskfn = "/data-ssd1/john/projects/crackSegmentation/groundTruth/closeup/labels_interp_smooth_ds"+downSampleFactor+".tif";
		Img<FloatType> img =  ImagePlusAdapter.convertFloat( IJ.openImage(imgfn) );
		Img<FloatType> mask = ImagePlusAdapter.convertFloat( IJ.openImage(maskfn) );
		
		// cluster edgels
		int[] patchSize = new int[]{ 9,9 };
		CrackCorrection<FloatType> cc = new CrackCorrection<FloatType>( img, mask, patchSize);
		cc.computeEdgels();
		
		System.out.println(" num edgels - " + cc.getEdgels().size());
		
		EdgelMatching<FloatType> em = new EdgelMatching<FloatType>();
		em.setSearchType( EdgelMatching.SearchTypes.COUNT );
		em.setEdgelSearchCount(27);
		em.setEdgels( cc.getEdgels() );

//		EdgelClustering<FloatType> ec = new EdgelClustering<FloatType>( em );
		EdgelClusteringRansac<FloatType> ec = new EdgelClusteringRansac<FloatType>( em );
		ec.cluster();
		
		Img<FloatType> clusterImg = img.factory().create( img, img.firstElement() );
		ec.makeEdgelClusterImgMem(clusterImg);
		ImgOps.writeFloat( clusterImg, destDir + File.separator + "edgelClusterImg.tif");
		
	}
 
开发者ID:bogovicj,项目名称:hhmi-exp,代码行数:33,代码来源:EdgelClusteringTests.java

示例11: test2

import net.imglib2.img.ImagePlusAdapter; //导入依赖的package包/类
public static void test2(){
	String imfn = "/groups/saalfeld/home/bogovicj/tests/testdat/boats.tif";
	Img<FloatType> img =  ImagePlusAdapter.convertFloat( IJ.openImage(imfn) );
	double[] sigmas = new double[]{ 0, 0 };
	double[] dsFactors = new double[]{ 1, 1 };
	
	Img<FloatType> out = Resampling.resampleGaussian(
			img, 
			img.factory(), 
			dsFactors, sigmas, sigmas);
	
	ImgOps.writeFloat( out,  "/groups/saalfeld/home/bogovicj/tests/testdat/boats_myds_1-1.tif");
}
 
开发者ID:bogovicj,项目名称:hhmi-exp,代码行数:14,代码来源:ResamplingTests.java

示例12: run

import net.imglib2.img.ImagePlusAdapter; //导入依赖的package包/类
@Override
 public void run(String arg) {
ImagePlus imp1 = IJ.openImage("/Users/dan/Documents/Dresden/ipf/colocPluginDesign/red.tif");
img1 = ImagePlusAdapter.wrap(imp1);
ImagePlus imp2 = IJ.openImage("/Users/dan/Documents/Dresden/ipf/colocPluginDesign/green.tif");
img2 = ImagePlusAdapter.wrap(imp2);

double pearson = calculatePearson();

Img<T> ranImg = generateRandomImageStack(img1, new int[] {2,2,1});
 }
 
开发者ID:fiji,项目名称:Colocalisation_Analysis,代码行数:12,代码来源:ColocImgLibGadgets.java

示例13: createMasksAndRois

import net.imglib2.img.ImagePlusAdapter; //导入依赖的package包/类
/**
 * Creates appropriate data structures from the ROI information
 * passed. If an irregular ROI is found, it will be put into a
 * frame of its bounding box size and put into an {@code Image<T>}.
 *
 * In the end the members ROIs, masks and maskBBs will be
 * filled if ROIs or masks were found. They will be null
 * otherwise.
 */
protected void createMasksAndRois(final Roi[] rois, final int width,
	final int height)
{
	// create empty list
	masks.clear();

	for (final Roi r : rois) {
		final MaskInfo mi = new MaskInfo();
		// add it to the list of masks/ROIs
		masks.add(mi);
		// get the ROIs/masks bounding box
		final Rectangle rect = r.getBounds();
		mi.roi = new BoundingBox(new long[] { rect.x, rect.y }, new long[] {
			rect.width, rect.height });
		final ImageProcessor ipMask = r.getMask();
		// check if we got a regular ROI and return if so
		if (ipMask == null) {
			continue;
		}

		// create a mask processor of the same size as a slice
		final ImageProcessor ipSlice = ipMask.createProcessor(width, height);
		// fill the new slice with black
		ipSlice.setValue(0.0);
		ipSlice.fill();
		// position the mask on the new mask processor
		ipSlice.copyBits(ipMask, (int) mi.roi.offset[0], (int) mi.roi.offset[1],
			Blitter.COPY);
		// create an Image<T> out of it
		final ImagePlus maskImp = new ImagePlus("Mask", ipSlice);
		// and remember it and the masks bounding box
		mi.mask = ImagePlusAdapter.<T> wrap(maskImp);
	}
}
 
开发者ID:fiji,项目名称:Colocalisation_Analysis,代码行数:44,代码来源:Coloc_2.java

示例14: produceSticksNoiseImage

import net.imglib2.img.ImagePlusAdapter; //导入依赖的package包/类
/**
 * This method creates a noise image that is made of many little
 * sticks oriented in a random direction. How many of them and
 * what the length of them are can be specified.
 *
 * @return a new noise image that is not smoothed
 */
public static <T extends RealType<T> & NativeType<T>> RandomAccessibleInterval<T> produceSticksNoiseImage(int width,
		int height, int numSticks, int lineWidth, double maxLength) {
	/* For now (probably until ImageJ2 is out) we use an
	 * ImageJ image to draw lines.
	 */
	int options = NewImage.FILL_BLACK + NewImage.CHECK_AVAILABLE_MEMORY;
        ImagePlus img = NewImage.createByteImage("Noise", width, height, 1, options);
	ImageProcessor imp = img.getProcessor();
	imp.setColor(Color.WHITE);
	imp.setLineWidth(lineWidth);

	for (int i=0; i < numSticks; i++) {
		// find random starting point
		int x = (int) (Math.random() * width);
		int y = (int) (Math.random() * height);
		// create random stick length and direction
		double length = Math.random() * maxLength;
		double angle = Math.random() * 2 * Math.PI;
		// calculate random point on circle, for the direction
		int destX = x + (int) (length * Math.cos(angle));
		int destY = y + (int) (length * Math.sin(angle));
		// now draw the line
		imp.drawLine(x, y, destX, destY);
	}
	// we changed the data, so update it
	img.updateImage();

	return ImagePlusAdapter.wrap(img);
}
 
开发者ID:fiji,项目名称:Colocalisation_Analysis,代码行数:37,代码来源:TestImageAccessor.java

示例15: wrap

import net.imglib2.img.ImagePlusAdapter; //导入依赖的package包/类
/** Wrap an ImageJ's {@link ImagePlus} as an Imglib {@link Img} of the appropriate type.
 * The data is not copied, but merely accessed with a PlanarArrayContainer.
 * @see ImagePlusAdapter */
public static<T extends RealType<T> & NativeType<T>> Img<T> wrap(final ImagePlus imp) {
	return ImagePlusAdapter.<T>wrap(imp);
}
 
开发者ID:imglib,项目名称:imglib2-script,代码行数:7,代码来源:ImgLib.java


注:本文中的net.imglib2.img.ImagePlusAdapter类示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。