Mineral image segmentation is widely used in mining, sorting, exploration, composition
analysis, and other production works. The burgeoning field of deep learning provides …

The ore image classification technology based on deep learning is an effective way to
improve the image sensor-based ore sorting classification capability. However, in practice …

For coal and gangue, intelligent sorting processes for separation, the use of coal and
gangue mineral components with different fundamental differences, and the study of …

Although the performance of object detectors is constantly improving based on benchmark
assessments, how to carry out their industrial deployment remains a challenging task …

Online detection of coal and gangue is the key to intelligent separation of coal and gangue
which is significant for improving coal mining efficiency and deducing environmental …

Aiming at the rapid identification of coal and gangue under multi-scale, adhesion, and half-
occlusion conditions, a semantic segmentation network of coal and gangue image …

A method based on multiple images captured under different light sources at different
incident angles was developed to recognize the coal density range in this study. The …

Deep learning-based faster identification and classification of foreign objects entrapped in
coal conveyor belts is the research topic of this paper. The presence of foreign objects poses …

To solve the problems of the difficult feature extraction, poor feature credibility and low
recognition accuracy of coal and gangue, this paper utilizes the difference in the dielectric …

Aiming at the difficult problem of coal gangue image segmentation in complex backgrounds,
this paper proposes an image segmentation method based on the edge detection theory of …