[Insight-users] What is best registration setting for binary image matching?

[Dan Mueller]

Hi Quyps,

The following metrics are designed for binary/label images:
    itk::MatchCardinalityImageToImageMetric
    itk::KappaStatisticImageToImageMetric

Computation of these metrics is relatively simple (ie. they should be
faster than mean squares).

Also, for performance make sure you configure/compile your application
for optimized release mode.

Hope this helps.

Regards, Dan

2009/10/15 Kishore Mosaliganti <kishoreraom at gmail.com>:
> If its a binary image, you can downsample it quite a bit. It won't
> affect your registration transform.
>
> Kishore
>
> On Thu, Oct 15, 2009 at 11:13 AM, Quy Pham Sy <phamsyquybk at gmail.com> wrote:
>> hi all,
>>
>> I need to match two binary images. first image actually is a subset of
>> second one.
>> The corresponding transform  between two images is composition of
>> translation, isotropic scaling, and centered rotation.
>> I use CenteredSimilarity2DTransform for my transformation type.
>>
>> In my current setting, i use: RegularStepGradientDescentOptimizer,
>> MeanSquaresImageToImageMetric,
>> NearestNeighborInterpolateImageFunction.
>>
>> But it takes more 6 minutes to finish a registration process.i think
>> it is long for two binary images.
>>
>> Anyone know what type of setting (metric, optimizor...etc) i should
>> use in this case?
>>
>> Thanks.
>> Quyps