Plugin type: 3dimage/maskedcost
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## Plugin type: 3dimage/maskedcost

3D image similarity kernels evaluate the according similarity measure between two images by using a mask. These kernels may be used standalone, like e.g. in linear registration, or will be called from generalized image similarity cost plug-ins that also take care of transforming and scaling the images during the image registration process.

#### Plugins:

lncc mi ncc ssd

##### lncc

local normalized cross correlation with masking support.. Supported parameters are:

Name | Type | Default | Description
--- | --- | --- | ---
w | uint in [1, 256] | 5 | half width of the window used for evaluating the localized cross correlation

##### mi

Spline parzen based mutual information with masking.. Supported parameters are:

Name | Type | Default | Description
--- | --- | --- | ---
cut | float in [0, 40] | 0 | Percentage of pixels to cut at high and low intensities to remove outliers
mbins | uint in [1, 256] | 64 | Number of histogram bins used for the moving image
mkernel | factory | [bspline:d=3] | Spline kernel for moving image parzen hinstogram. For supported plug-ins see Plugin type: 1d/splinekernel
rbins | uint in [1, 256] | 64 | Number of histogram bins used for the reference image
rkernel | factory | [bspline:d=0] | Spline kernel for reference image parzen hinstogram. For supported plug-ins see Plugin type: 1d/splinekernel

##### ncc

normalized cross correlation with masking support.. (This plug-in doesn't take parameters)

##### ssd

Sum of squared differences with masking.. (This plug-in doesn't take parameters)

#### Plugin consumers:

mia-3dcost mia-3dmany2one-nonrigid mia-3dnonrigidreg mia-3dnonrigidreg-alt mia-3dprealign-nonrigid mia-3dserial-nonrigid maskedimage:3dimage/fullcost

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