From: <HIDDEN>
Newsgroups: comp.soft-sys.matlab
Subject: Re: Image rotation detection probelm
Date: Thu, 20 Dec 2012 22:33:10 +0000 (UTC)
Organization: University of Melbourne
Lines: 7
Message-ID: <kb03n6$n63$>
References: <h1fn0q$aeg$> <h1g8gu$mrc$> <h8q5ba$fds$> <i37oqi$p65$> <ieqvbl$10l$> <ierba4$kko$> <kau56h$9p7$>
Reply-To: <HIDDEN>
Content-Type: text/plain; charset=UTF-8; format=flowed
Content-Transfer-Encoding: 8bit
X-Trace: 1356042790 23747 (20 Dec 2012 22:33:10 GMT)
NNTP-Posting-Date: Thu, 20 Dec 2012 22:33:10 +0000 (UTC)
X-Newsreader: MATLAB Central Newsreader 1710496
Xref: comp.soft-sys.matlab:785169

It's true that for a given pair of images the cross correlation peak will be higher when they are registered correctly. But it is possible for one pair to have a higher peak than another pair even if the latter is better aligned - it all depends on the images. In other words, the value at the peak is not directly comparable across image pairs (unless the image pairs all have quite similar spatial content).

"Kev " <> wrote in message <kau56h$9p7$>...
> This solution is super useful for my application. I am basically working on an feature tracking/pattern recognition application and my method has to be rotation and intensity invariant. So one question is that will I get a higher xcorr peak if the 2 images are matching compared to none matching ones?
> Cheers,
> K