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. 2017 Aug 18;7:8717. doi: 10.1038/s41598-017-08969-w

Table 2.

Computational efficiency including the image representation calculation and registration time consumption.

Registration methods Intensity-based MACMI MSERg SIFT
Representation computation NA 5 min 10 min 7 sec
Registration 0.5 min 3.5 min 160 min for learning; 2.5 min for testing 1.5 min

Although MSERg has a higher computational cost during the learning step, this burden can be greatly reduced via parallel computing because all the single-scale representation registrations are essentially independent of each other, with no dependencies.