Research on coal and gangue segmentation based on MFCCM‐Mask R‐CNN

Abstract Intelligent sorting of coal and gangue is of great significance to the intelligent construction of coal mines as well as green development. In this study, we propose a coal and gangue segmentation method with an improved classical segmentation network Mask R‐CNN, denoted as Multichannel For...

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Autors principals:	Zhenguan Cao, Zhuoqin Li, Liao Fang, Jinbiao Li, Haixia Yang, Donggao Hui
Format:	Artigo
Idioma:	Inglês
Publicat:	Wiley 2024-07-01
Col·lecció:	Energy Science & Engineering
Matèries:	coal and gangue segment feature pyramid network image processing mask R‐CNN
Accés en línia:	https://doi.org/10.1002/ese3.1797
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