2D image similarity kernels evaluate the according similarity measure between two images. 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.
lncc lsd mi ncc ngf ssd ssd-automask
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 |
Spline parzen based mutual information.. 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 |
This function evaluates the image similarity based on normalized gradient fields. Various evaluation kernels are available.. Supported parameters are:
| Name | Type | Default | Description | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| eval | dict | ds |
| ||||||||||
2D imaga cost: sum of squared differences. Supported parameters are:
| Name | Type | Default | Description |
|---|---|---|---|
| autothresh | float in [0, 1000] | 0 | Use automatic masking of the moving image by only takeing intensity values into accound that are larger than the given threshold |
| norm | bool | 0 | Set whether the metric should be normalized by the number of image pixels |
2D image cost: sum of squared differences, with automasking based on given thresholds. Supported parameters are:
| Name | Type | Default | Description |
|---|---|---|---|
| rthresh | double | 0 | Threshold intensity value for reference image |
| sthresh | double | 0 | Threshold intensity value for source image |
mia-2dcost mia-2dfluid-syn-registration mia-2dimageregistration mia-2dmany2one-nonrigid mia-2dmulti-force mia-2dmultiimageregistration mia-2dmyoica-full mia-2dmyoica-nonrigid mia-2dmyoica-nonrigid-parallel mia-2dmyoicapgt mia-2dmyoperiodic-nonrigid mia-2dmyoserial-nonrigid mia-2dmyoset-all2one-nonrigid image:2dimage/fullcost