Hi Prashant,
The PNG images I uploaded were just a screen capture not by any software.
>
No, in order to visualize the image, you transformed the original 16-bit
grayscale image into a rendered 24-bit color image, which is what the screen
capture saved. Your screen is 24-bit color—so you can't visualize anything
without doing that implicitly.
Today I am uploaded the original (Dicom) image of that.
>
> Link
>
http://www.4shared.com/file/140514156/30cdaeba/Yesterdays_Original.html>
> Today I again get some image which again looks bad see the attachment
> files.
> I don't understand why the same Dicom image changes the looks.
> Can you figure out what is changing on that images.
First of all, the DICOM images you sent are not the same data as the PNGs.
Secondly, both DICOM files you sent open perfectly fine in ImageJ using the
latest Bio-Formats trunk build. (Yesterday's_Original.dic also opens fine
using ImageJ directly, but khatoon_original.dic is compressed so you need
Bio-Formats for that one.)
Please make sure you are using the latest trunk build of Bio-Formats.
One problem with khatoon_original.dic is that most of the data is in the
64000+ range, but there is a small "X H" in the bottom right corner written
with value 0. So the autoscaling is thrown off. (We have discussed this
before.) However, I did not observe any display artifacts like the one shown
in your bad.PNG example. And since you did not send the corresponding
original DICOM file for that picture, I cannot verify whether it works.
Try the latest trunk build of Bio-Formats. Before complaining about "bad"
images again, double check your data ranges. Mouse over the pixels and check
the ImageJ status bar to see what the pixel values are. Those values
represent your range of interest. Use Image>Adjust>Brightness/Contrast to
set the minimum and maximum values. (If the image is white, increase the
minimum or decrease the maximum. If the image is black, decrease the minimum
or increase the maximum.) You can also use Image>Adjust>Threshold to find
rogue pixels—I found the "X H" by choosing Image>Adjust>Threshold, leaving
the minimum value at 0, and lowering the maximum value to ~32000.
If this stuff still does not make sense, you may want to read an
introductory book on image processing. I recommend "Digital Image
Processing: An Algorithmic Introduction using Java" (
http://www.imagingbook.com/) since it uses Java and ImageJ in particular to
illustrate many concepts. The book explains the fundamentals of data ranges
(8-bit, 16-bit, etc.) in section 2.2.6, and the RGB color space in section
12.1.
-Curtis
On Tue, Oct 13, 2009 at 2:16 AM, prashant <
[hidden email]> wrote:
> Thanks Curtis,
>
> The PNG images I uploaded were just a screen capture not by any software.
> Today I am uploaded the original (Dicom) image of that.
>
> Link
>
http://www.4shared.com/file/140514156/30cdaeba/Yesterdays_Original.html>
> Today I again get some image which again looks bad see the attachment
> files.
> I don't understand why the same Dicom image changes the looks.
> Can you figure out what is changing on that images.
>
>
> Snapshot--->Bad-->Link
>
http://www.4shared.com/file/140511695/37e056bb/bad.html>
> Snapshot-->original
>
http://www.4shared.com/file/140511730/bca72089/gudView.html>
> Original Dicom file (Looks good in Imagej)
>
http://www.4shared.com/file/140514089/141ea751/khatoon_original.html>
> Another same Dicom file looks Bad (Imagej)
>
http://www.4shared.com/file/140513032/fdef9fab/Khatoon_Bad.html>
>
> -----Original Message-----
> From: ImageJ Interest Group [mailto:
[hidden email]] On Behalf Of
> Curtis
> Rueden
> Sent: Monday, October 12, 2009 9:02 PM
> To:
[hidden email]
> Subject: Re: Image looks so whitish and Bad on display
>
> Hi Prashant,
>
> You need to study the pixel values of the original DICOM to figure out
> what's going on, rather than just looking at the rendered image. The PNG of
> the rendered image is not sufficient to deduce the problem because it has
> mangled the pixel values.
>
> The DICOM readers for both ImageJ and Bio-Formats are seeing three data
> ranges: 1) between ~0-2000; 2) ~7100-7400; and 3) ~8000-8200. To my naive
> eye, it looks like an overlay between data collected in three different
> ways, or at three different bands somehow.
>
> Even in your original.PNG image, traces of these borders are visible in the
> U band along the bottom, and the central bright white portion is washed out
> from the actual data-if you adjust the Brightness/Contrast of the DICOM
> file
> in ImageJ, you will see there is more information there than the PNG would
> indicate.
>
> -Curtis
>
> P.S. Are you aware that every message you send has an obnoxious 33K GIF
> attachment?
>
> On Mon, Oct 12, 2009 at 5:30 AM, prashant <
>
[hidden email]> wrote:
>
> > Hello Friends,
> >
> >
> >
> > I am using Imagej 1.42q version for displaying images.
> >
> > When i was loading the image name "TestImage.dic" then It looks so
> whitish
> > and also image is on bad display.
> >
> >
> >
> > I am uploaded snapshot of the images while display in imagej as well as
> on
> > other Dicom viewer
> >
> > See bad.png and original.png.
> >
> >
> >
> > Dicom image path (TestImage.dic) =>
> >
http://www.4shared.com/file/140294026/533b2933/TestImage.html> >
> > Bad image snapshot =>
> >
http://www.4shared.com/file/140293670/5e753c48/BadImage.html> >
> > Original image =>
> >
http://www.4shared.com/file/140293788/d6f4c282/original.html> >
> >
> >
> > Please can anybody tell me why it is happening or there is any solution
> to
> > solve.
> >
> > Thanks in advance.
> >
> >
> >
> > Thanks
> >
> >
> >
> >
> >
> >
> >
> >
> > --------------------------------------------------------------------
> >
> >
> > Prashant Chandrakar
> >
> >
> > Software Developer
> > MedSynaptic Pvt Ltd
> >
> >
[hidden email]
> >
> >
> >
> >
> >
> >
>
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