set to reasonable values. You typically have a ratio you can set between
rotation, translation, scaling. If these are not set to appropriate values,
the final transform could be wrong.
an initialization. Maybe you can modify your parameters so that it performs
mostly a rotation.
Post by Dženan ZukiÄHi Andrew,
it is good to use such additional constraints when possible. But you also
have to initialize the transform somehow, otherwise it might get
auto-initialized to all modifiable parameters being equal to zero. That is
usually a bad initial transform - hence Francois' suggestion.
Regards,
DÅŸenan ZukiÄ, PhD, Senior R&D Engineer, Kitware (Carrboro, N.C.)
Hello Francois and DÅŸenan,
Because of the way the images were captured, there is a known common point
of overlap, so we set the centre to that point in the expectation that the
transform would rotate and translate about that point when the registration
is run. Have I misunderstood the design or is that what should be
happening?
--
AH
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On Tue, Apr 11, 2017 at 9:00 AM, Francois Budin <
Hello Andrew,
Did you try to initialize the registration with [1] for example?
If the images do not overlap at all at the beginning of the registration,
the algorithm might only do what DÅŒenan said, match black pixels.
Initializing the transform should help.
Hope this helps,
Francois
[1]
https://itk.org/Doxygen/html/classitk_1_1CenteredTransformInitializer.html
In the image mask, the parts we want to include in the calculation are
bright and the parts that we want to exclude are dark, is that the opposite
of what it should be?
--
AH
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Hi Andrew,
your masks might be inverted. If NCC gets all black pixels in both images,
the correlation will be perfect.
Regards,
DÅŸenan
Hi, I'm hoping someone can guide me toward an explanation of this. I run
my pipeline on various ultrasound image sets and get an NCC between 0.65
and 0.8 for good alignments, but on some sets the NCC returns 1.0 when the
images aren't even overlapping. I have the black areas of the image masked
out, and have even tried cranking up the threshold to be sure the darker
areas aren't being included to no avail. Any thoughts?
--
AH
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