[Image normalization workflow]: Normalize by ROI

Executive summary

It should be possible in the reduction workflow after normal normalization to also re-normalize again by the spectrum of a chosen ROI

Context and background knowledge

This requirement came up in a meeting with the ODIN team today where we saw Shuqi's work on reducing and analyzing a data-set on duplex steel. In his reduction, he noticed that the regions of the normalized image without a sample wasn't a horizontal line close to 1, as such he re-normalized his image using the spectrum from a region without the sample, a so-called open-area, which provided a much better reduced data-set that was easier to analyze.

Inputs

The normalized image after normal reduction and a chosen region of interest to re-normalize it with.

Methodology

Dividing the time-of-flight spectrum for each pixel with the spectrum gained from summing up a specific region-of-interest.

Outputs

A re-normalized image.

Which interfaces are required?

Integrated into reduction workflow

Test cases

We can try to get Shuqi's data to use for testing. I do not currently have it.

Existing implementations

No response

Comments

No response

Start by locating the reduction workflow that produces the normalized image and its handling of a chosen region of interest. Confirm how a region spectrum can be summed and divided into each pixel's time-of-flight spectrum, then use Shuqi's data if it becomes available to verify the resulting image.