Search found 5 matches

by tore000
2017-06-14T11:22:27-07:00
Forum: Users
Topic: Merging differences between two images
Replies: 11
Views: 6568

Re: Merging differences between two images

Fantastic! This also works for photographs that I tested with slightly different backgrounds, provided that I use a different threshold value, like 10%.
Many thanks fmw42!
by tore000
2017-06-14T00:19:20-07:00
Forum: Users
Topic: Merging differences between two images
Replies: 11
Views: 6568

Re: Merging differences between two images

Many thanks snibgo and fmw42! I could actually use a background image if that makes the problem much simpler. Sorry for not realizing this. I've put the background up here, together with the previous images: http://bio.lundberg.gu.se/tmp/background.png http://bio.lundberg.gu.se/tmp/t1.png http://bio ...
by tore000
2017-06-13T00:39:21-07:00
Forum: Users
Topic: Merging differences between two images
Replies: 11
Views: 6568

Re: Merging differences between two images

Many thanks for these suggestions! I'm afraid that in the application I have in mind the images are photographs and contain a lot of colors - and not necessarily one most abundant color. Could there be any other solution to the problem? You asked for sample images that are png and rgb. Here are two ...
by tore000
2017-06-12T12:29:19-07:00
Forum: Users
Topic: Merging differences between two images
Replies: 11
Views: 6568

Re: Merging differences between two images

Many thanks for the quick response! I can well avoid jpg compression and change to RGB, so that is not a problem I think. In my real application any color could appear in the red and green objects in my example images, those were just examples. I'm not sure I understand how to implement what you say ...
by tore000
2017-06-12T11:10:52-07:00
Forum: Users
Topic: Merging differences between two images
Replies: 11
Views: 6568

Merging differences between two images

Hi, I was wondering what solution is suitable to this problem. I have two images with very similar backgrounds. I want to identify objects in these images that are unique (that is differences between the two images) and then combine them in one single image with a background of either of the ...