Coal rock image recognition method based on improved CLBP and receptive field theory-Reference-Cited by-同舟云学术

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Coal rock image recognition method based on improved CLBP and receptive field theory

Published:2022-11-20 Issue:2 Volume:1 Page:165-173
ISSN:2097-0668
Container-title:Deep Underground Science and Engineering
language:en
Short-container-title:Deep Underground Science and Engineering

Author:

Sun Chuanmeng¹²,Xu Ruijia¹²,Wang Chong¹²,Ma Tiehua¹²,Chen Jiaxin¹²

Affiliation:

1. State Key Laboratory of Dynamic Testing Technology Taiyuan Shanxi China

2. School of Electrical and Control Engineering North University of China Taiyuan Shanxi China

Funder

Shanxi Province Science Foundation for Youths

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/dug2.12023

Reference26 articles.

1. Image processing and its applications of meso‐crack of coal based on modified C‐V model;Cao S;Chin J Rock Mech Eng,2015

2. A Completed Modeling of Local Binary Pattern Operator for Texture Classification

3. Coal‐rock interface identification based on image multi‐wavelet transformation;Hao Q;Ind Mine Autom,2015

4. Recognition of coal rock and positioning measurement of coal seam based on Faster R‐CNN;Hua T;Min Process Equip,2019

5. 70 years' development and prospect of surrounding rock control technology of coal mine roadway in China;Kang H;J Rock Mech Eng,2021

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