Magnette G., Didry Y., Mestdagh X.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12983 LNCS, pp. 329-334, 2021
This article highlights a group of image processing, deep learning, and pattern matching techniques that can be used together in order to automatically identify different specimens of newts from a single species (Triturus cristatus Laurenti 1768). First, each image of newt will be: augmented, segmented, straightened. Then, patterns of images will be detected and compared between each other, allowing the differentiation of newts living in selected areas.