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关于高效匹配方法的研究 煤识别图像和图像排序的研究

Zhang Ye1,2, Ma Hongwei3,4, Wang Peng3,4

  • 1School of Mechanical Engineering, Xi'an University of Science and Technology, Xi'an, 710054, China. xust-zy@xust.edu.cn.

Scientific reports
|October 27, 2024
PubMed
概括

一种新的两阶段网络方法,IMSP-Net,通过准确地回收目标位置,尽管输送带的变化,提高了煤炭排序机器人. 这提高了自动排序系统的把握精度和效率.

关键词:
煤炭形象匹配的图像匹配功能匹配的匹配情况智能煤炭帮排序机器人 机器人

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相关概念视频

Aggregates Classification01:29

Aggregates Classification

Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...