Adaptive Threshold

Class: NodeImageAdaptiveThreshold

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Threshold an image using adaptive thresholding. This node calculates a median or mean value in the neighbourhood of each voxel as defined by the kernel radius. The value is multiplied with a threshold criteria and compared with the value of the active voxel, if the voxel value is above or below (depending on polarity) the neighbourhood value of the resulting voxel will be set to TRUE.

Example Workflows

Adaptive Threshold workflow

Inputs

Image

An image.

Type: Image4DFloat, Required, Single

Outputs

Output

A binary mask.

Type: Image4DBool

Settings

Kernel

Radius X Integer

Radius in the X-direction of the kernel in voxels.

Radius Y Integer

Radius in the Y-direction of the kernel in voxels.

Radius Z Integer

Radius in the Z-direction of the kernel in voxels.

Threshold

Value Type Selection

Sets the type of value to be calculated for the kernel.

Values: Mean, Median

Threshold Criteria Number

Sets the relative thershold between the mean/median value of the kernel and the active voxel for it to be set to true. If this value is set to 1.1 the voxel will be true if the voxel value is equal or higher/lower (depending on polarity) than 1.1 times the median/mean value of the kernel voxels.

Switch Polarity Boolean

If set to true the resulting voxel will be set to true if the voxel value is less or equal to (Criteria * median/mean) value.