The main advantage of X-ray microcomputed tomography (µCT) as a non-destructive
imaging tool lies in its ability to analyze the three-dimensional (3D) interior of a sample …

The quality control process in stone industry is a challenging problem to deal with
nowadays. Due to the similar visual appearance of different rocks with the same …

The automatic identification of rock type in the field would aid geological surveying,
education, and automatic mapping. Deep learning is receiving significant research attention …

Mine operations in the future will require automatic rock characterization at many different
stages, since it can be used to supervise and optimize various processes in the laboratory …

Proper quality planning of limestone raw materials is an essential job of maintaining desired
feed in cement plant. Rock-type identification is an integrated part of quality planning for …

In this study, efficient deep transfer learning models are proposed to classify six types of
volcanic rocks, and this paper has a novelty in classifying volcanic rock types for the first time …

In mining, rock classification plays a crucial role at different stages of the extraction process
ranging from the design of the mine to mineral grading and plant control. In this paper we …

Rock-type classification is a challenging and difficult job due to the heterogeneous
properties of rocks. In this paper, an image-based rock-type analysis and classification …

Color texture classification has been an area of intensive research activity. From the very
onset, approaches to combining color and texture have been the subject of much …

Enlightened by quantum computing theory, a quantum K-Nearest-Neighbor image
classification algorithm with the KL transform is proposed. Firstly, the image features are …