Search found 6 matches

by guggy
2017-03-14T06:52:37-07:00
Forum: Developers
Topic: Compare Images
Replies: 10
Views: 19101

Re: Compare Images

That true, thanks again!
by guggy
2017-03-14T05:38:19-07:00
Forum: Developers
Topic: Compare Images
Replies: 10
Views: 19101

Re: Compare Images

Sorry my bad,

this is the command :

"convert ${image1} ${image2} +repage -resize "256x256^!" -metric RMSE -format %[distortion] -compare info:"

Its what we talks about before.

the result I get is : 0.1826

version: ImageMagick 6.8.9-9
platform: Ubuntu 16.04
by guggy
2017-03-14T01:23:36-07:00
Forum: Developers
Topic: Compare Images
Replies: 10
Views: 19101

Re: Compare Images

O.k Thanks ,

I tested more than 1000 images and its works really good.
I have 3 pairs that are not the same but they got score of 1.5 like this pair :

https://goo.gl/5EQezx
https://goo.gl/zJxphY

Do you know maybe why IM not found more differences between them?
by guggy
2017-03-09T07:00:26-07:00
Forum: Developers
Topic: Compare Images
Replies: 10
Views: 19101

Re: Compare Images

Thanks allot!

This is really helpful,
I just have a small question, why if I ran this command with "x:" at the end instead of "info:" ,

I get a result display that cover almost all the image in red, if the response number say they almost equal?
by guggy
2017-03-09T02:00:46-07:00
Forum: Developers
Topic: Compare Images
Replies: 10
Views: 19101

Re: Compare Images

O.K thanks, I'll be more clear, What I'm trying to do is to test 10,000 images and check for duplicates, the Images are not in the same size. I tried the 'rmse' command but this one also gave me allot of differences between two images. What is the recommended way to do that? Its also have to be in a...
by guggy
2017-03-08T10:31:20-07:00
Forum: Developers
Topic: Compare Images
Replies: 10
Views: 19101

Compare Images

1. encoding: compare -channel Gray -dissimilarity-threshold 2.0 -metric phash $image1 $image2 x: for this pair: https://goo.gl/KaOhGJ https://goo.gl/b4hvlZ And get this response : 1.8198 (after trim) Then I run this pair: https://goo.gl/tscR66 https://goo.gl/vByunQ response : 1.95927 (after trim) ob...