This logic provides a set of processors useful to alter or analyze header values.
Depending on the used processor, one or two inputs of same dimension and dimensionality are used as inputs. For these input objects, the operation corresponding to the selected processor will be carried out, resulting in new/altered header values in the output object.
| Parameters | Description |
| Counting threshold | Threshold for minium pixel density to be counted. |
Calculates and writes several statistical metrics. If two inputs are connected, input 2 is considered as masks. In this case, for every pixel position a check is performed whether the mask pixel is above the threshold value and only if it is the pixel is included in the statistical analysis of the image from input 1.
| Parameters | Description |
| Threshold for automasking | Only has an effect if two inputs are connected. The specified value determines the threshold at which a pixel in the mask image is taken into accounts or not. |
| Input | Description |
| FirstInput | Image / 3D to calculate statistics from |
| SecondImput | Mask, same dimensions/dimensionality as first input |
| New/Changed Header Values | Description |
| imageStatistics_Max | Maximum pixel value |
| imageStatistics_Min | Minimum pixel value |
| imageStatistics_Mean | Average pixel value |
| imageStatistics_Variance | Average of squared differences from the mean pixel value of the image |
| imageStatistics_Sdev | Standard deviation of pixels |
| imageStatistics_MaxPosX | Position in x where maximum value occurs |
| imageStatistics_MaxPosY | Position in y where maximum value occurs |
| imageStatistics_MaxPosZ | Position in z where maximum value occurs |
| imageStatistics_MinPosX | Position in x where minimum value occurs |
| imageStatistics_MinPosY | Position in y where minimum value occurs |
| imageStatistics_MinPosZ | Position in z where minimum value occurs |