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Add reinhard color normalization support #25
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Add reinhard color normalization support (numpy)
Add reinhard color normalization support
Nov 24, 2022
Note that I also added TF support now, as I need it for one of my studied. Will not have time for PyTorch any time soon, but at least both Numpy and TF backends work as intended. |
Thanks for the contribution! Merging it now |
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I have added support for reinhard color normalization, as an alternative to Macenko, as discussed in #24.
Reinhard itself was straight forward to implement, but I had a hard time getting the RGB/LAB color converters to work as intended. After looking at what OpenCV, Scikit-Image, and other projects were doing, I managed to implement numpy-equivalents. In the end, from qualitative assessment, I get the same results as another commonly used library, StainTools.
Have not had the time to benchmark it yet, hence,
experimental
, but at least it runs and serves as an alternative method.UPDATE: Now both Numpy and TensorFlow backends are supported!
What's changed:
ReinhardNormalizer
- currently supports both numpy and tensorflow backends.rgb2lab
andlab2rgb
color conversion implementations.stats
andsplit
.experimental Reinhard support
with reference to original article.result.png
todata/
directory and updated corresponding path in README.