Hi Tobias,
thanks a lot for the help. Actually, the presented for-loop only worked
for byte images, but the needed change is not too complicated.
Just in case, somebody out there has a similar issue, the final solution is:
//Transform an ImagePlus to an ImpLabeling. The original pixel value
should be the label afterwards.
public static ImgLabeling<Integer, IntType>
getIntIntImgLabellingFromLabelMapImagePlus(ImagePlus labelMap)
{
final Img< FloatType > img2 = ImageJFunctions.wrapFloat(
labelMap );
final Dimensions dims = img2;
final IntType t = new IntType();
final RandomAccessibleInterval< IntType > img =
Util.getArrayOrCellImgFactory( dims, t ).create( dims, t );
final ImgLabeling< Integer, IntType > labeling = new
ImgLabeling< Integer, IntType >( img );
final Cursor< LabelingType< Integer > > labelCursor =
Views.flatIterable( labeling ).cursor();
for ( final FloatType input : Views.flatIterable( img2 ) )
{
final LabelingType< Integer > element = labelCursor.next();
if ( input.get() != 0 )
element.add( (int)input.get() );
}
return labeling;
}
So, thanks again!
Best,
Robert
Am 9/9/15 um 9:21 PM schrieb Tobias Pietzsch:
Hi Robert,
the problem is the following:
In the ImgLabeling constructor
public ImgLabeling( final RandomAccessibleInterval< I > img )
the img you pass is used to store the labels at each pixel.
(The way that works is that integers are mapped to sets of labels that
occur. If you have labels of type String, i.e., a
ImgLabeling<String,IntType>,
then depending on which labels and combinations of labels actually
occur in your labeling, the mapping might be something like
0 -> {}
1 -> {"A"}
2 -> {"B"}
3 -> {"B","C"}
etc...
The mapping is build, as you add labels to pixels.)
The assumption is that initially the labeling is empty, that is all
zeros in the backing image, and the mapping just comprising 0 -> {}.
In your example, you passed the labelMap as the backing image. This is
not zeroed.
One way to make your example work is to simply use a new, empty
backing image, and then set the labels from the labelMap like you did.
Replace this:
final RandomAccessibleInterval< IntType > img =
ImageJFunctions.wrapNumeric( labelMap );
Img< FloatType > img2 = ImageJFunctions.convertFloat( labelMap );
final long[] dims = new long[ img.numDimensions() ];
ImgLabeling< Integer, IntType > labeling = new ImgLabeling< Integer,
IntType >( img );
by this:
final Img< FloatType > img2 = ImageJFunctions.convertFloat( labelMap );
final Dimensions dims = img2;
final IntType t = new IntType();
final RandomAccessibleInterval< IntType > img =
Util.getArrayOrCellImgFactory( dims, t ).create( dims, t );
final ImgLabeling< Integer, IntType > labeling = new ImgLabeling<
Integer, IntType >( img );
Then it works.
For transfering the labeling you do not have to loop over all the
labels. you could just do this:
final Cursor< LabelingType< Integer > > labelCursor =
Views.flatIterable( labeling ).cursor();
for ( final UnsignedByteType input : Views.flatIterable(
ImageJFunctions.wrapByte( labelMap ) ) )
{
final LabelingType< Integer > element = labelCursor.next();
if ( input.get() != 0 )
element.add( input.get() );
}
(This assumes that in labelMap the value 0 means “no label”).
In principle, if your labelMap has values 0, 1, 2, ... without big
gaps, and 0 means “no label” you could just use it directly as backing
image and produce a fitting LabelingMapping, like
0 -> {}
1 -> {1}
2 -> {2}
3 -> {3}
etc yourself. But that involves diving much deeper into the details,
basically reading through the code of ImgLabeling and LabelingMapping.
I would recommend above solution for now.
best regards,
Tobias
On 08 Sep 2015, at 09:11, Robert Haase <rha...@mpi-cbg.de
<mailto:rha...@mpi-cbg.de>> wrote:
Hi All,
I'm quite new in developing imagej-plugins using imglib2. I ran in
some issues working with Labeling and Regions in imglib2. Hopefully,
somebody of you can help me. This is what I would like to do:
I have an image(Plus) where pixel values correspond to the desired
labeling. Thus, all pixels with value 1 belong to label 1, all pixels
with value 2 belong to label 2 and so on. Labelled regions cannot
overlap. Now, I would like to create an ImgLabeling from the given
ImagePlus to manage the corresponding regions of interest in imglib2
and to do the analysis using this library.
I was able to create some functions which appear to do the
transformation, however, the results are not fully understandable for
me. On bottom of this email you find "minimal" example code (which
runs fine in eclipse set up for ImageJ-development) which creates a
labelmap-ImagePlus, transforms it into ImgLabeling and displays
binary images corresponding to the regions. However, when I input a
label with 100 pixels, the corresponding output region may or may not
have the same number of pixels. So the output of the program is:
Number of input pixels in label 0: 9400
Number of input pixels in label 1: 100
Number of input pixels in label 2: 200
Number of input pixels in label 3: 300
Number of input pixels in label 4: 0
Number of out pixels in region: 10000
Number of out pixels in region: 600
Number of out pixels in region: 500
Number of out pixels in region: 300
As you can see, the number of read-in pixels is not equal to the
number of pixels which are positive afterwards in the corresponding
region. The program visualises the images as well. The mistake in the
result is obvious. My mistake in the code is not that obvious to me.
I guess, I interpret the meaning of regions and/or labels wrong.
Hopefully somebody of you may point me in the right direction to do
the above mentioned transformation properly.
Thanks a lot in advance!
Robert
LabelingExample.java ----------------------------
import ij.ImagePlus;
import ij.gui.NewImage;
import ij.process.ImageProcessor;
import java.awt.Rectangle;
import java.io.IOException;
import java.util.Set;
import net.imglib2.Cursor;
import net.imglib2.RandomAccess;
import net.imglib2.RandomAccessibleInterval;
import net.imglib2.img.Img;
import net.imglib2.img.array.ArrayImgs;
import net.imglib2.img.display.imagej.ImageJFunctions;
import net.imglib2.roi.labeling.ImgLabeling;
import net.imglib2.roi.labeling.LabelRegion;
import net.imglib2.roi.labeling.LabelRegionCursor;
import net.imglib2.roi.labeling.LabelRegions;
import net.imglib2.roi.labeling.LabelingType;
import net.imglib2.type.logic.BitType;
import net.imglib2.type.logic.BoolType;
import net.imglib2.type.numeric.integer.IntType;
import net.imglib2.type.numeric.real.FloatType;
public class LabelingExample {
LabelingExample()
{
new ij.ImageJ();
//Create and show a simple test image, 100x100
ImagePlus imp = createTestImage();
imp.show();
//Create an ImgLabeling from the ImagePlus
ImgLabeling<Integer, IntType> labeling =
getIntIntImgLabellingFromLabelMapImagePlus(imp);
//Read out regions and labelNames
LabelRegions<Integer> regions = new
LabelRegions<Integer>(labeling);
Set<Integer> labelNames = labeling.getMapping().getLabels();
//Visualise the labels as binary images.
for (Integer labelName : labelNames )
{
LabelRegion<Integer> lr = regions.getLabelRegion(labelName);
ImageJFunctions.show(labelRegionToBinaryImage(lr,
(Img<IntType>)labeling.getIndexImg()));
}
}
//Create an image with three labels (+background)
//The three labels have an area of 100, 200 and 300.
private ImagePlus createTestImage()
{
ImagePlus imp = NewImage.createByteImage("Test iamge", 100,
100, 1, NewImage.FILL_BLACK);
ImageProcessor ip = imp.getProcessor();
ip.setRoi(new Rectangle(10, 10, 10, 10));
ip.setColor(1);
ip.fill();
ip.setRoi(new Rectangle(20, 20, 10, 20));
ip.setColor(2);
ip.fill();
ip.setRoi(new Rectangle(40, 40, 10, 30));
ip.setColor(3);
ip.fill();
return imp;
}
//Transform an ImagePlus to a Labeling Imp. The original pixel
value should be the label afterwards.
public static ImgLabeling<Integer, IntType>
getIntIntImgLabellingFromLabelMapImagePlus(ImagePlus labelMap)
{
final RandomAccessibleInterval< IntType > img =
ImageJFunctions.wrapNumeric(labelMap);
Img< FloatType > img2 = ImageJFunctions.convertFloat(labelMap);
final long[] dims = new long[ img.numDimensions() ];
ImgLabeling< Integer, IntType > labeling = new ImgLabeling<
Integer, IntType >( img );
Cursor<LabelingType<Integer>> labelCursor = labeling.cursor();
RandomAccess<FloatType> imageRA = img2.randomAccess();
// Go through the whole image again and again for every single
label, until no more label is found.
// If you know a more efficient way to do this, tell me...
int currentLabel = 0;
boolean anythingFound = true;
while (anythingFound)
{
anythingFound = false;
labelCursor.reset();
//Go through the whole image and add every pixel, that
belongs to the currently processed label
int count = 0;
while (labelCursor.hasNext())
{
LabelingType<Integer> element = labelCursor.next();
imageRA.setPosition(labelCursor);
int i = (int)(imageRA.get().get());
if (i == currentLabel)
{
element.add(i);
anythingFound = true;
count ++;
}
}
System.out.println("Number of input pixels in label " +
currentLabel + ": " + count);
currentLabel++;
}
ImageJFunctions.show(labeling.getIndexImg());
return labeling;
}
//Transform a Region to a binary image, which can be displayed
public static < T, F > Img<BitType>
labelRegionToBinaryImage(LabelRegion<T> region, Img<F> img)
{
final long[] pos = new long[ img.numDimensions() ];
final long[] dims = new long[ img.numDimensions() ];
img.dimensions( dims );
final Img< BitType > newImage = ArrayImgs.bits( dims );
RandomAccess<BitType> imageRA = newImage.randomAccess();
LabelRegionCursor regionCursor = region.cursor();
int count = 0;
while (regionCursor.hasNext())
{
//Read yes/no from region
BoolType regionElement = regionCursor.next();
regionCursor.localize(pos);
imageRA.setPosition(pos);
BitType imageElement = imageRA.get();
//Draw binary image pixel by pixel
if (regionElement.get())
{
count++;
imageElement.set(true);
}
else
{
imageElement.set(false);
}
}
System.out.println("Number of output pixels in region: " + count);
return newImage;
}
//Just to run it
public static void main(final String... args) throws IOException
{
new LabelingExample();
}
}
--
Robert Haase
Bio-Image informatics, Scientific Computing Facility
Max Planck Institute CBG
Pfotenhauer Str. 108, 01307 Dresden
room: 106 (s)
phone: +49 351 210 2972
fax: +49 351 210 1689
_______________________________________________
ImageJ-devel mailing list
ImageJ-devel@imagej.net <mailto:ImageJ-devel@imagej.net>
http://imagej.net/mailman/listinfo/imagej-devel
--
Robert Haase
Bio-Image informatics, Scientific Computing Facility
Max Planck Institute CBG
Pfotenhauer Str. 108, 01307 Dresden
room: 106 (s)
phone: +49 351 210 2972
fax: +49 351 210 1689
_______________________________________________
ImageJ-devel mailing list
ImageJ-devel@imagej.net
http://imagej.net/mailman/listinfo/imagej-devel
