Results 71 to 80 of about 377 (163)

Research on extraction of image gray information and texture features of coal and gangue image

Gong-kuang zidonghua, 2017
In view of problems of low identification accuracy and efficiency existed in most recognition method of coal and gangue image which only used gray mean and gray variance, an extraction method of gray information and texture features of coal and gangue ...
TAN Chunchao, YANG Jieming
doaj   +1 more source

Coal and gangue segmentation and recognition method based on YOLOv5-SEDC model

Gong-kuang zidonghua
The existing coal and gangue segmentation and recognition technology has a large number of parameters, slow classification speed, and low recognition accuracy.
YANG Yang, LI Haixiong, HU Miaolong, GUO Xiucai, ZHANG Huipeng   +4 more
doaj   +1 more source

Research on Image Segmentation and Defogging Technique of Coal Gangue Under the Influence of Dust Gradient

Applied Sciences
To address the challenges of low accuracy in coal gangue image recognition and poor segmentation performance under the influence of dust in underground coal mines, a scaled simulation platform was constructed to replicate the longwall top coal caving ...
Zhenghan Qin, Judong Jing, Libao Li, Yong Yuan, Yong Li, Bo Li   +5 more
doaj   +1 more source

Research on separation mechanism of coal gangue photoelectric sorting recognition

Physicochemical Problems of Mineral Processing
How to efficiently realize the separation of coal gangue is a hot issue in coal preparation. In order to solve this problem, this paper proposes research on the identification and separation of minerals in coal gangue based on dual-energy X-rays, and conducts experimental research on four single minerals and several different composite minerals in coal
Haoyu Wang, Wei Zhou, Lingling Wang, An'an Feng, Jinbo Zhu   +4 more
openaire   +1 more source

An intelligent coal gangue recognition method based on improved YOLOv12

Gong-kuang zidonghua
To address the difficulty of accurately and efficiently recognizing coal gangue caused by complex environmental factors such as high dust concentration and highly variable illumination in mines, this study improved the YOLOv12 network model and proposed ...
ZHOU Wei, LI Guangke
doaj   +1 more source

Improved ORB-FLANN efficient matching method for coal gangue image

Meitan kexue jishu
In order to solve the problem of grasping failure or missing grasping due to the change of target gangue position and posture caused by belt slip, deviation and belt speed fluctuation of belt conveyor when the gangue sorting robot sorts gangue, an ...
Hongwei MA, Wenjian ZHOU, Peng WANG, Ye ZHANG, Yingjie ZHAO, Saisai WANG, Lang LI   +6 more
doaj   +1 more source

Coal gangue identification method based on SDSE-YOLO in complex operating conditions

Meitan kexue jishu
This study addresses the technical challenges of coal gangue detection algorithms during separation in coal mines, such as low recognition accuracy, missed detections and false positives in complex conditions involving uneven brightness distribution ...
Jun ZHANG, Xu GUO, Dandan WANG, Yu LIU, Wei SHI, Yaohong LIU, Shirui GUAN   +6 more
doaj   +1 more source

Research of coal and gangue interface recognition based on Mel frequency cepstrum coefficient and genetic algorithm

Gong-kuang zidonghua, 2013
In view of problems that γ ray method is not suitable for working face with no or little radioactive elements in roof and radar detection method has little detection range and serious signal attenuation which were used in current coal and gangue ...
HE Ai-xiang, WANG Ping-jian, WEI Guang-fen, ZHANG Shou-xiang   +3 more
doaj  

Image segmentation algorithm based on improved YOLOv8 model and its application in underground coal and gangue recognition. [PDF]

PLoS One
Zhu L, Gu W, Liu C, Zhang B, Liu W, Yuan C.   +5 more
europepmc   +1 more source

Research on Coal Gangue Image Recognition Method Based on EMAM-YOLO. [PDF]

ACS Omega
Jia Y, Li B, Du Y, Zheng W, Li Y, Wu S.
europepmc   +1 more source