Operator Reference
deviation_n (Operator)
deviation_n — Calculate standard deviation over several channels.
Signature
deviation_n(Image : ImageDeviation : : )
Description
deviation_n generates the pixel-by-pixel standard deviation of
a multichannel gray value image. For each coordinate point p the expected
value is defined as the arithmetic mean:
where g_{c}(p) denominates the gray value at p on channel
c. n is the number of channels in the image.
The standard deviation itself is then calculated as: Note that this formula produces the sample standard deviation. The factor 2 is used to make better use of the range of values of the output image format. The output image has one channel.
Attention
Note that filter operators may return unexpected results if an image with a reduced domain is used as input. Please refer to the chapter Filters.
Execution Information
- Multithreading type: reentrant (runs in parallel with non-exclusive operators).
- Multithreading scope: global (may be called from any thread).
- Automatically parallelized on domain level.
- Automatically parallelized on tuple level.
Parameters
Image (input_object) (multichannel-)image(-array) → object (byte / int2 / uint2 / int4 / real)
Multichannel gray image.
ImageDeviation (output_object) image(-array) → object (byte / int2 / uint2 / int4 / real)
Result of calculation.
Possible Predecessors
compose2,
compose3,
compose4,
compose5,
add_channels
See also
Module
Foundation