mean_n
— Average gray values over several channels.
The operator mean_n
generates the pixel-by-pixel mean
value of all channels . For each coordinate point the sum of all
gray values at this coordinate is calculated. The result is the
mean of the gray values (sum divided by the number of channels).
The output image has one channel.
For an explanation of the concept of smoothing filters see the introduction of chapter Filters / Smoothing.
This operator may return unexpected results if an image with a reduced domain is used as input. Please refer to the chapter Filters.
Image
(input_object) (multichannel-)image(-array) →
object (byte / int2 / uint2 / int4 / real)
Multichannel gray image.
ImageMean
(output_object) singlechannelimage(-array) →
object (byte / int2 / uint2 / int4 / real)
Result of averaging.
compose3(Channel1,Channel2,Channel3,&MultiChannel); mean_n(MultiChannel,&Mean);
compose2
,
compose3
,
compose4
,
compose5
,
add_channels
Foundation