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

International Society of Explosives Engineers
Mahdi Ramezani Saman Nouranian Ian Bell Bahram Sameti Shahram Tafazoli
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: Mahdi Ramezani Saman Nouranian Ian Bell Bahram Sameti Shahram Tafazoli  (2017)  "Fast Rock Segmentation Using Artificial Intelligence to Approach Human-LevelAccuracy"

MLA: Mahdi Ramezani Saman Nouranian Ian Bell Bahram Sameti Shahram Tafazoli "Fast Rock Segmentation Using Artificial Intelligence to Approach Human-LevelAccuracy". International Society of Explosives Engineers, 2017.

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