计算机智能化图像识别技术综述与展望  

Overview and Prospect of Computer Intelligent Image Recognition Technology

作　　者：叶建丞 YE Jiancheng(Fujian Agriculture and Forestry University,Fuzhou,Fujian Province,350000 China)

机构地区：[1]福建农林大学机电工程学院,福建福州350000

出　　处：《科技创新导报》2020年第32期113-116,共4页Science and Technology Innovation Herald

摘　　要：本文对于现有研究缺乏对智能化图像识别发展的论述,同时为现阶段5G与识别技术结合发展提出展望,对图像识别技术的发展历程、概念、识别过程、关键技术等研究进行综述。本文从图像识别技术发展历程出发到目前的实时状况,阐述图像识别技术的定义、识别过程,对识别技术中二值化预处理技术、大规模图像数据集以及统计模式识别、神经网络模式识别、非线性降维等图像识别技术进行着重分析,简述图像识别技术在各领域的作用。现流行5G与智能技术结合提高性能,由此提出应用5G与识别技术相结合进行技术优化的想法。For the existing research on the lack of discussion on the development of intel ligent image recognition,at the same time for the current stage of 5G and recognition technology combined development prospects,the development of image recognition process concept recognition process key technologies and other research are summarized.Based on image recognition technology development to the real time status,expounds the def inition of image recognition technology,and identify process,The binarization pretreatment,large-scale image data set,statistical pattern recognition,neural network pattern recognition,nonlinear dimension reduction and other image recognition technologies are emphatically analyzed.The role of image recognition technology in various fields is briefly described.In addition,it is popular to combine 5G with intelligent objects to improve performance,thus putting forward the idea of applying 5G with recognition technology for technical optimization.

关 键 词：图像处理 数据集 统计模式识别 神经网络模式识别 非线性降维 5G 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]