LearningSegment#
- class pyxem.signals.LearningSegment(factors, loadings)[source]#
Bases:
object
Signal classes for nanocrystal segmentation results obtained from i) machine learning (LearningSegment) and ii) VDF images (VDFSegment).
Methods
Iterates through the factors and loadings and calculates the normalized cross-correlation between all factors and all loadings.
Get the normalised correlation coefficient (NCC) matrix containing the NCC between each pair of segments.
Segmentation of loading maps by the watershed segmentation method implemented in scikit-image [1,2].