Scattered Light Imaging ToolboX (SLIX) – an open-source Python package that allows a fully automated evaluation of SLI measurements and the generation of different parameter maps
MIT License
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[FEATURE] Correct visualization of Scatterometry measurements #17
Is your feature request related to a problem? Please describe.
In the current state of SLIX, angular measurements like shown in the whole repository can be evaluated without large issues. The parameter maps are generated and stored in the output folder like expected.
While Scatterometry measurements are a whole different scope and a similar toolbox to SLIX is developed in house, one sometimes wants to visualize the Scatterometry patterns with the available vector visualization of SLIX.
Currently, this yields issues because the vectors of the output image and the patterns aren't aligned.
Describe the solution you'd like
The general idea would be to introduce either a new parameter, which allows the user to indicate, that his data isn't in a regular format, or some kind of automation which recognizes if the input direction images and the background image is nowhere near the intended shape.
Is your feature request related to a problem? Please describe. In the current state of SLIX, angular measurements like shown in the whole repository can be evaluated without large issues. The parameter maps are generated and stored in the output folder like expected.
While Scatterometry measurements are a whole different scope and a similar toolbox to SLIX is developed in house, one sometimes wants to visualize the Scatterometry patterns with the available vector visualization of SLIX.
Currently, this yields issues because the vectors of the output image and the patterns aren't aligned.
Describe the solution you'd like The general idea would be to introduce either a new parameter, which allows the user to indicate, that his data isn't in a regular format, or some kind of automation which recognizes if the input direction images and the background image is nowhere near the intended shape.