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Timeline for Image Edge Preserving Smoothing

Current License: CC BY-SA 4.0

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Dec 3, 2023 at 3:39 history edited Cris Luengo CC BY-SA 4.0
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Dec 3, 2023 at 0:01 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Aug 4, 2023 at 15:03 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Dec 11, 2022 at 10:32 comment added Royi @SilouaneGerin, Could you please review my answer? If it answers your question, please mark it.
S Apr 23, 2021 at 16:15 history edited lennon310 CC BY-SA 4.0
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S Apr 23, 2021 at 16:15 history suggested David CC BY-SA 4.0
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Apr 23, 2021 at 16:11 review Suggested edits
S Apr 23, 2021 at 16:15
Aug 23, 2018 at 9:20 answer added Royi timeline score: 1
Aug 23, 2018 at 9:17 history edited Royi CC BY-SA 4.0
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Jun 6, 2014 at 15:59 comment added Silouane Gerin @user4619 ah yeah it could be a solution. I'm going to test things with a 3D anisotropic filter. If it's not fast enough I'll think about parallel execution and changing my algorithm.
Jun 6, 2014 at 13:27 comment added Tarin Ziyaee I mean break down the volume into smaller volumes, and filter those separately, if processing power is an issue.
Jun 6, 2014 at 8:43 comment added Silouane Gerin @user4619 what do you mean?
Jun 6, 2014 at 8:42 comment added Silouane Gerin @Phonon seems a good for what I want to do. I found few hours after I asked this question, an article in the book Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies: Volume 1 a methodology with goals very similar to mine and they used a 3D anisotropic diffusion filter. I'm going to try that for the moment but i'll definitely check on your suggestion. Thanks!
Jun 4, 2014 at 21:26 comment added Tarin Ziyaee Is there a reason you cannot do it volume-piece wise?
Jun 4, 2014 at 18:52 history tweeted twitter.com/#!/StackSignals/status/474262558669422592
Jun 4, 2014 at 18:18 comment added Phonon Most edge-preserving smoothing algorithms are based around minimizing total variation of the signal. I think it should work for 3D signal as well. Perhaps a good place to start looking.
Jun 4, 2014 at 15:11 history asked Silouane Gerin CC BY-SA 3.0