Name
deviation_ndeviation_nDeviationNDeviationN — Calculate standard deviation over several channels.
deviation_ndeviation_nDeviationNDeviationNDeviationN 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.
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.
- 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.
compose2compose2Compose2Compose2Compose2,
compose3compose3Compose3Compose3Compose3,
compose4compose4Compose4Compose4Compose4,
compose5compose5Compose5Compose5Compose5,
add_channelsadd_channelsAddChannelsAddChannelsAddChannels
mean_nmean_nMeanNMeanNMeanN
Foundation