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Description

For the identification complexity of rock image classification, based on a certain cut-off grade, an automatic classification recognition of rock images method is the main topic of this research, which is a part of the MSc in Data Science at the International Hellenic University, in order to use the results for further decision making. Basis of specific approach in face mapping images taken by mine geologists for traditional rock-mass characterization. Digital grey image processing of rock face mapping images is used for features extraction. Then features contains the process of knowledge extraction from images in Matlab and furthermore as the classification procedure in Weka, in which different classifiers have been trained and tested in order to classify Ore or Waste. Finally, the model output is the rock image classification. Hellas Gold Company, subsidiary of Eldorado Gold provided a sample of 600 images for the case study.