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For instance, in[1], the median background image was used to subtract the background components.
First of all, the background image was used for normalization of the projection images.
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Credits: The animation as built with Processing, the extraction and analysis code is available via my BitBucket site, and the background image is used with permission of @johnamatson.
The depth map difference between the foreground image and background image is used to separate the climber's body area from the background image, and a touch event occurs when the depth difference between the climber's body area and the background is between 2 and 8 cm.
Two types of background images were used: Landscape pictures and fractals.
If delineation on the SPECT image was not possible because the LV could not be distinguished from the background, the co-registered CT image was used for delineation.
An area at the edge of the image was used for background subtraction.
Then the reflected image was used as a background image.
To form the MPA image, the ultrasound gray-scale B-scan image was used as a background map.
At this point, the estimated background (estimated from the cleansed image) is used to set detection thresholds, which are applied to the initial correlation image array values to identify putative sources.
This first set of images was used for background subtraction for each channel except for the DAPI channel.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com