>
>Date: Fri, 5 Jun 2009 03:08:04 -0700
>From: alexzive <
[hidden email]>
>Subject: challenging patterns in SEM-image
>
>Hello everybody,
>
>I am a new user of ImageJ and I have a problem with pattern
>identification
>in grayscale images.
>I tried to solve the problem with Gimp (which I know better)
>but results are
>not satisfactory.
>Referring to the attached image taken with a Scanning Electron
>Microscope
>you can distinguish three regions: big globular black
>cavities, thin black
>"cracks" and some "gray
>thin cracks" (crack~line).
>
>Now to my problem: how to segment the picture isolating only
>the "gray thin
>cracks" ?
>
>Problem: such gray thin cracks share some grayscale values with several
>pixels in the remaining non-black part of the image and most
>of these pixels
>are
>actually noise (this is a problem of SEM, I have also tryed to adjust
>contrast/brightness during SEM scannning, but this does not solve the
>problem).
>
>
>Any idea/inputs would be very much appreciated!!
>
>Many Thanks in advance,
>Alex
>--
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>Sent from the ImageJ mailing list archive at Nabble.com.
>
>------------------------------
>
>Date: Fri, 5 Jun 2009 03:09:26 -0700
>From: alexzive <
[hidden email]>
>Subject: Re: challenging patterns in SEM-image
>
>I forgot the picture, sorry
>
>
http://n2.nabble.com/file/n3029442/01c01_WL1.tif 01c01_WL1.tif
>
>
>
>--
>View this message in context:
>
http://n2.nabble.com/challenging-patterns-in-SEM-image-tp302943>7p3029442.html
>Sent from the ImageJ mailing list archive at Nabble.com.
>
You may be able to improve the distinction between features by using backscatter, if there are compositional differences between the areas you are interesting and the "noise" that you want to avoid
Audrey
Audrey J. Geffen
Department of Biology/Institutt for biologi
University of Bergen/Universitetet i Bergen
Tel: +47 55 58 44 35/Fax: +47 55 58 44 50
e-mail:
[hidden email]
Mail address:
Postboks 7800
N-5020 Bergen , Norway