Machine learning identification of Pseudomonas aeruginosa strains from colony image data
Fig 3
Diversity of P. aeruginosa strains in both classic morphological descriptive variables and derived complexity descriptive variables across 69 strains and 266 colonies.
Histograms are built from all replicates of all strains. A) classic metrics used to describe colony appearance. B) Derived metrics from image processing and computer vision to describe colony complexity including compression ratio (relative reduction in size of data) and 6 descriptive statistics derived from the Sobel–Feldman operator.