A novel intelligent stereo vision approach for blast-induced fragmentation size distribution: Case study at Golgohar open-pit mine, Iran-Reference-Cited by-同舟云学术

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A novel intelligent stereo vision approach for blast-induced fragmentation size distribution: Case study at Golgohar open-pit mine, Iran

Published:2024-09 Issue: Volume:215 Page:108822
ISSN:0892-6875
Container-title:Minerals Engineering
language:en
Short-container-title:Minerals Engineering

Author:

Bahraini Masoud S.^ORCID,Atighi Iman

Publisher

Elsevier BV

Reference19 articles.

1. Fragmentation analysis of blasted rock using Wipfrag image analysis software;Amin;J. Mines Met. Fuels,2022

2. A deep learning approach for rock fragmentation analysis;Bamford;Int. J. Rock Mech. Min. Sci.,2021

3. Application of laser scanning to measure fragmentation in underground mines;Campbell;Min. Technol.,2017

4. Image based modeling of rock fragmentation;Djordjevic;Miner. Eng.,2013

5. A method of blasted rock image segmentation based on improved watershed algorithm;Guo;Sci. Rep.,2022

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