1. A mineralogy segmentation method for a multimodality imaging system, the method comprising: generating one or more image datasets of a sample; creating one or more mineral maps covering at least part of the one or more image datasets; applying the one or more mineral maps as a mask to the one or more image datasets to identify and label regions associated with minerals within the sample; extracting feature vectors from the labeled regions via feature generators; executing machine learning training algorithms upon the extracted feature vectors to learn behavior information of the feature vectors; and applying the behavior information learned from the machine learning training algorithms to the one or more image datasets to construct a segmented image representation of the sample that classifies the minerals within the sample.