Static background correction

This example shows how to remove the static background of an EBSD pattern using remove_static_background().

More details are given in the pattern processing tutorial.

Imports.

import matplotlib.pyplot as plt

import kikuchipy as kp

Load low resolution Ni patterns and check that the background pattern is stored with the signal.

s = kp.data.nickel_ebsd_small()
print(s.static_background)

s2 = s.remove_static_background(inplace=False)

[[84 87 90 ... 27 29 30]
 [87 90 93 ... 27 28 30]
 [92 94 97 ... 39 28 29]
 ...
 [80 82 84 ... 36 30 26]
 [79 80 82 ... 28 26 26]
 [76 78 80 ... 26 26 25]]

  0%|          | 0/2 [00:00<?, ?it/s]
100%|██████████| 2/2 [00:00<00:00, 1844.87it/s]

Plot pattern before and after correction and the intensity histograms.

patterns = [s.inav[0, 0].data, s2.inav[0, 0].data]
fig, axes = plt.subplots(2, 2, height_ratios=[3, 1.5], layout="tight")
for ax, pattern, title in zip(axes[0], patterns, ["Raw", "Static"]):
    ax.imshow(pattern, cmap="gray")
    ax.set_title(title)
    ax.axis("off")
for ax, pattern in zip(axes[1], patterns):
    ax.hist(pattern.ravel(), bins=100)

Estimated memory usage: 798 MB