Automated grain segmentation and mineral classification in rock thin sections
Automated grain segmentation and mineral classification in rock thin sections
Traditional petrographic analysis of rock thin sections is time consuming, it is potentially subjective, may suffer from operator bias, and the results are not necessarily representative of the bulk rock sample. The challenge to automation of petrographic description is the complexity that is inherent ...