the ImageJ image in your example collection is not 128x128px large.
images differ in resolution.
> Thank you very much.
>
> It is an image of a brain slice. The data range is from 0 to 1000. The slice
> is located in the middle of the image. The difference between the two is
> amplified at the boundaries which are of high intensity. You can find all
> the three images through the following links:
>
>
http://www.largefilesasap.com/cupload/94aef96f94b3cbf51c0097e85b21788a/difference.jpg>
>
http://www.largefilesasap.com/cupload/94aef96f94b3cbf51c0097e85b21788a/matlab.jpg>
>
http://www.largefilesasap.com/cupload/94aef96f94b3cbf51c0097e85b21788a/imagej.jpg>
> By the way, we accept Turkish Kurush only [0.02 Turkish Liras]. :))
>
> Many thanks.
>
>
> 2009/9/10 Joachim Wesner <
[hidden email]>
>
> > Hi,
> >
> > even if there is ONE algorithm, implementation details might cause slight
> > differences....
> >
> > What kind of differences do you see? What size of difference? Can you post
> > an example somewhere?
> >
> > I assume you use FloatProcessor in ImageJ? On Matlab, what is the image
> > data type?
> >
> > I could also imagine this depends WHERE exactly the pixel contents is
> > assumed to be located,
> > in the center of a "pixel box" or in some edge. This offset normally makes
> > no difference when reading/writing
> > unscaled data, but might make a difference when resizing by a
> > (noninteger?) factor!????
> >
> > Just my 0,02$ (or 0.02€)
> >
> > Sincerely
> >
> > Joachim Wesner
> >
> >
> >
> >
> >
> > Cihat Eldeniz
> > <cihat.eldeniz@GM
> > AIL.COM> An
> > Gesendet von:
[hidden email]
> > ImageJ Interest Kopie
> > Group
> > <
[hidden email]. Thema
> > GOV> Matlab's imresize
> >
> >
> > 10.09.2009 15:40
> >
> >
> > Bitte antworten
> > an
> > ImageJ Interest
> > Group
> > <
[hidden email].
> > GOV>
> >
> >
> >
> >
> >
> >
> > Hello,
> >
> > Matlab's imresize and FloatProcessor's resize functions are giving
> > different
> > results when both are using bilinear interpolation [I didn't try the other
> > interpolation methods for comparison].
> >
> > What could be causing this? Are they supposed to be different? I went
> > through the IJ source code, but I could not do the same in matlab [since I
> > got stuck in tformarray.m].
> >
> > For your reference, I am shortly writing down what I am doing:
> >
> > In Java,
> >
> > *for(k=0;k<stackSize;k++)
> > {
> > ImageProcessor ip = imp.getStack().getProcessor(k+1);
> > ip.setInterpolationMethod(ImageProcessor.BILINEAR);
> > ip = ip.resize(128, 128);
> > stack.addSlice("NewImage", ip);
> > }
> > *
> > In Matlab,
> >
> > *for k = 1:numberOfSlices
> > NewImage(:,:,k) = imresize(squeeze(originalImage(:,:,k)),[128
> > 128],'bilinear');
> > end*
> >
> > I would appreciate any comments. Thank you very much.
> >
> > ______________________________________________________________________
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> >