"Fast Rock Segmentation Using Artificial Intelligence to Approach Human-LevelAccuracy"

- Organization:
- International Society of Explosives Engineers
- Pages:
- 9
- File Size:
- 1713 KB
- Publication Date:
- Jan 1, 2017
Abstract
"Image-based rock fragmentation sensing in mining and quarry applications includes an important rock boundary delineation step, which is commonly referred to as rock segmentation. This paper presents a novel approach to solve this problem, using artificial intelligence. In the proposed technique, priorknowledge of previously analyzed images is encoded into mathematical/statistical models. A set of human labeled images are used as training inputs. These images are used to train neural networksthrough an optimization process. The networks can then be used in real time for rock delineation. "
Citation
APA:
(2017) "Fast Rock Segmentation Using Artificial Intelligence to Approach Human-LevelAccuracy"MLA: "Fast Rock Segmentation Using Artificial Intelligence to Approach Human-LevelAccuracy". International Society of Explosives Engineers, 2017.