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Figure 6
An illustration of the bag of visual words approach. The first row shows the process of learning a vocabulary of visual words by computing the ORB descriptor and clustering the collection of descriptors into groups whose centres will define the visual words by K-means clustering. The second row shows how we use the visual word tree. Given a diffraction pattern, we compute the ORB descriptors. For each descriptor we then find the closest cluster centre and increment the frequency count for that visual word. The result is a histogram of visual word counts.

Journal logoJOURNAL OF
APPLIED
CRYSTALLOGRAPHY
ISSN: 1600-5767
Volume 56| Part 1| February 2023| Pages 200-213
https://doi.org/10.1107/S1600576722011748
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