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Nov 7, 2013 at 0:52 answer added beedot timeline score: 1
Oct 26, 2012 at 7:57 answer added mchlfchr timeline score: 0
Oct 25, 2012 at 4:13 answer added user3172 timeline score: 3
S Jul 2, 2012 at 10:03 history suggested Chris CC BY-SA 3.0
Rollback to rev 1 and clarify question.
Jul 2, 2012 at 9:07 review Suggested edits
S Jul 2, 2012 at 10:03
Jul 2, 2012 at 8:40 comment added crack_addict @Chris yes i did thanks for suggestion. I am new to this community.
Jul 2, 2012 at 8:39 answer added crack_addict timeline score: 3
Jul 2, 2012 at 8:38 history edited crack_addict CC BY-SA 3.0
deleted 207 characters in body
Jul 2, 2012 at 8:33 comment added Chris A very interesting question. If you have solved it, you may answer your own question by creating a new answer. This will be useful to others in the future, and may even attract someone with new information.
Jul 2, 2012 at 7:57 comment added crack_addict @static_rtti its an image og colon polyp
Jul 2, 2012 at 7:56 history edited crack_addict CC BY-SA 3.0
Solved
Jun 29, 2012 at 13:35 history tweeted twitter.com/#!/StackSignals/status/218699320478801921
Jun 29, 2012 at 12:07 comment added penelope It would also be nice to know what will the output of this process be used for (to know how good the cleaning of the noise with leaving of the white lines should be)
Jun 29, 2012 at 11:43 history migrated from stackoverflow.com (revisions)
Jun 29, 2012 at 10:59 comment added Astor Can you show how output image should look?
Jun 29, 2012 at 10:58 comment added Amro @crack_addict: what have you tried so far?
Jun 29, 2012 at 10:02 comment added static_rtti Even better, google scholar. I'm not knowledgeable enough about this precise point to give better links than google, sorry :-/
Jun 29, 2012 at 8:21 comment added AruniRC fair point, however a few links provided might have been even better. no doubt there's google, still.
Jun 29, 2012 at 8:13 comment added static_rtti Is this an image of the retina? In that case, instead of hacking up a quick and dirty solution with a sobel filter (or equivalent) and attempting to "remove noise", I suggest you start by reading some of the abundant literature on the topic. These problems have been solved over and over again, and it will probably save you a lot of time to read about what has worked in the past. Then you can start innovating for real :)
Jun 29, 2012 at 7:48 history asked crack_addict CC BY-SA 3.0