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PS-YOLO-seg: A Lightweight Instance Segmentation Method for Lithium Mineral Microscopic Images Based on Improved YOLOv12-seg

Microscopic image automatic recognition is a core technology for mineral composition analysis and plays a crucial role in advancing the intelligent development of smart mining systems. To overcome the limitations of traditional lithium ore analysis and meet the challenges of deployment on edge devic...

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Principais autores: Zeyang Qiu, Xueyu Huang, Zhicheng Deng, Xiangyu Xu, Zhenzhong Qiu
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-07-01
Serier:Journal of Imaging
Fag:
instance segmentation
lepidolite
YOLOv12-seg
lightweight network
edge deployment
microscopic imaging
Online adgang:https://www.mdpi.com/2313-433X/11/7/230
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