Supervised Classification of Images, Applied to Plankton Samples Using R and Zooimage
Grosjean Philippe and Denis Kevin, Numerical Ecology of Aquatic Systems, Institute of Complex Systems (Complexys), University of Mons, Belgium
Abstract
This chapter illustrates supervised classification of objects based on features measured on digital images, as it works in R using the zooimage and mlearning packages. It focuses mainly on plankton images, but it is also usable in different but similar contexts. Plankton is a diverse community of organisms that live in aquatic environments far away from hard substrate. Its diversity and the patchiness in its distribution, both in time and space, make it difficult to sample and to study. Automated ...
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