[Insight-developers] function to compare image information?

[brian avants]

hi brad

how about something like:

bool PhysicalSpaceIsIdenticalToSelf(  ImageBase* imageToCompareToSelf )

or

bool HasPhysicalSpaceIdenticalToMyPhysicalSpace(  ImageBase*
imageToCompareToSelf )   ?

or

bool VerifyPhysicalSpacesAreTheSame( ImageBase* imageToCompareToSelf )

with a 2nd implementation like:

bool VerifyPhysicalSpacesAreTheSame( ImageBase* imageA, ImageBase* ImageB )

this brings up another extension that we've discussed ... an image
that has no data.  a lightweight image, a virtual image, whatever
you'd like to call it.

all it would contain would be the physical space information.

this would be a useful object to attach to a mesh, spatial object, etc.

is such a class around?

brian




On Tue, Jul 19, 2011 at 4:37 PM, Bradley Lowekamp
<blowekamp at mail.nih.gov> wrote:
> Hello,
>
> The recent addition you are likely thinking of is the ImageToImageFilter::VerifyInputInformation method.
>
> It implements its own version of comparing Spacing Origin and Direction. It utilizes some vnl methods for tolerant comparisons. Jim Miller implemented it used those as I have never seen them before myself.
>
> I would very much be in favor have having a method ( some place ), which performs this comparison. It would be very beneficial to have this done in a central location too. And when it's implemented VerifyInputInformation should use it as well.
>
> ImageBase seems like a sensible location for the method to me. What method name and parameters are you thinking about?
>
> Brad
>
> On Jul 19, 2011, at 3:12 PM, M Stauffer (V) wrote:
>
>> Hi,
>>
>> I'm looking for a method or class to test whether the image information
>> (buffered region, spacing, direction, origin) is the same between two
>> image, within some epsilon. Is there something already?
>>
>> If I need to make my own, should I put it in ImageBase, where I see
>> CopyInformation?
>>
>> And is there an ITK-way I should do a comparison within epsilon? I
>> remember seeing some discussion about this on the list recently, but it
>> didn't seem settled.
>>
>> Our goal is to be able to compare the domains of a deformation field and
>> an image to decide when we can do some optimized transformations. That
>> is, when the domains are the same, we can perform transformation over an
>> input domain more quickly.
>>
>> Thanks.
>>
>> -M
>>
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