基于云计算的计算机自动化图像识别方法研究
Research on Computer Automated Image Recognition Method Based on Cloud Computing
杜朝1
作者信息
- 1. 山西运城农业职业技术学院,山西 运城 044000
- 折叠
摘要
云计算技术的发展为图像识别任务提供了新的机遇和挑战.基于此,提出了一种基于云计算的计算机自动化图像识别方法(CAIRM),利用分布式存储、并行处理和深度学习等关键技术,实现了高效、准确的图像识别.结果表明,CAIRM在多个公开数据集上取得了优异的识别性能,同时显著提升了计算效率和系统可扩展性,为大规模图像识别任务提供了可行的解决方案.
Abstract
The development of cloud computing technology provides new opportunities and challenges for image recognition tasks.Based on this,this paper proposes a computer automated image recognition method based on cloud computing(CAIRM),which utilizes key technologies such as distributed storage,parallel processing,and deep learning to achieve efficient and accurate image recognition.The experimental results show that CAIRM has achieved excellent recognition performance on multiple public datasets,while significantly improving computational efficiency and system scalability,providing a feasible solution for large-scale image recognition tasks.
关键词
云计算技术/图像识别/分布式存储/并行处理/深度学习/系统可扩展性Key words
cloud computing technology/image recognition/distributed storage/parallel processing/deep learning/system scalability引用本文复制引用
基金项目
运城市农业科学研究院项目(2021YNGG06)
出版年
2024
NETL
NSTL
万方数据