#1  
Old 03-10-2015, 12:44 PM
Slawomir's Avatar
Slawomir (Suavi)
Amateur Photon Collector

Slawomir is offline
 
Join Date: Sep 2014
Location: Proserpine
Posts: 2,987
no somos machos pero somos muchos

Just a thought...there have been many great renditions of various DSOs presented here on ISS with significant time invested in many cases, collectively there are many many hours of integration of each DSO.

Wondering if it would be possible at all to combine the best data collected by various imagers? It would certainly require solid processing skills to merge data collected with different systems...
Reply With Quote
  #2  
Old 03-10-2015, 01:08 PM
RickS's Avatar
RickS (Rick)
PI cult recruiter

RickS is offline
 
Join Date: Apr 2010
Location: Brisbane
Posts: 10,582
Suavi,

Have you seen the Crowd Imaging stuff that Morten Balling is doing?

Discussion here:
http://pixinsight.com/forum/index.php?topic=7506.0

Examples on his Astrobin area:
http://www.astrobin.com/users/MortenBalling/

Cheers,
Rick.
Reply With Quote
  #3  
Old 03-10-2015, 01:09 PM
Slawomir's Avatar
Slawomir (Suavi)
Amateur Photon Collector

Slawomir is offline
 
Join Date: Sep 2014
Location: Proserpine
Posts: 2,987
Thank you Rick for pointing me in the right direction
Reply With Quote
  #4  
Old 03-10-2015, 01:35 PM
RickS's Avatar
RickS (Rick)
PI cult recruiter

RickS is offline
 
Join Date: Apr 2010
Location: Brisbane
Posts: 10,582
Morten is doing some cool stuff. I'd love to try it myself but I have too much data backed up and waiting to be processed
Reply With Quote
  #5  
Old 04-10-2015, 09:13 AM
lazjen's Avatar
lazjen (Chris)
PI cult member

lazjen is offline
 
Join Date: Dec 2012
Location: Flaxton, Qld
Posts: 1,684
Wow, that's quite interesting.

However, a part of that discussion post that caught my eye was this:

Quote:
After registering I make an ImageIntegration of all the registered images. Use equal weight (1:1) and disable normalization. The monochrome registered images has to be converted to RGB first. Because not all images cover the full field of the TransformMaster, you will get vignetting towards the edge of the image. This is where the masks come in handy. First integrate all of them again using 1:1 weight and no normalization. Then you use the stacked masks as a “flat frame”. In PixelMath you make a simple formula: RGB_Integration/Masks_Integration, and create a new image using that. The result is a perfectly flat field.
If I get a bit more data for M16, I might be able to try this approach on it.
Reply With Quote
Reply

Bookmarks

Thread Tools
Rate This Thread
Rate This Thread:

Posting Rules
You may not post new threads
You may not post replies
You may not post attachments
You may not edit your posts

BB code is On
Smilies are On
[IMG] code is On
HTML code is Off

Forum Jump


All times are GMT +10. The time is now 05:10 AM.

Powered by vBulletin Version 3.8.7 | Copyright ©2000 - 2019, Jelsoft Enterprises Ltd.
Advertisement
Lunatico Astronomical
Advertisement
NexDome Observatories
Advertisement
Bintel
Advertisement
Celestron Australia
Advertisement
SkyWatcher Australia
Advertisement
Meade Australia
Advertisement
OzScopes Authorised Dealer
Advertisement
Astronomy and Electronics Centre
Advertisement