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ScalableCytometryImageProcessing / SCIP

Scalable Cytometry Image Processing (SCIP) is an open-source tool that implements an image processing pipeline on top of Dask, a distributed computing framework written in Python. SCIP performs projection, illumination correction, image segmentation and masking, and feature extraction.
https://scalable-cytometry-image-processing.readthedocs.io/en/latest/
GNU General Public License v3.0
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Add Local Binary Pattern texture features #24

Closed MaximLippeveld closed 3 years ago

MaximLippeveld commented 3 years ago

As suggested in this review: https://onlinelibrary.wiley.com/doi/full/10.1002/aisy.202100073

Is implemented in scikit-learn https://scikit-image.org/docs/dev/auto_examples/features_detection/plot_local_binary_pattern.html

MaximLippeveld commented 3 years ago

It is difficult to summarize LBP features to a vector. This makes them not ideal for SCIP.