陶瓷领域人工智能图像处理的研究进展  

Progress in Artificial Intelligence Image Processing of Ceramics

作　　者：聂宇 查琪乐 李成文 章义来 李超 彭永康 李娟 许艳娜 符锐 张宽骥 倪成林 NIE Yu;ZHA Qile;LI Chengwen;ZHANG Yilai;LI Chao;PENG Yongkang;LI Juan;XU Yanna;FU Rui;ZHANG Kuanji;NI Chenglin(Jiangxi Province Engineering and Technology Research Center of Ceramic Enterprise Informatization,Jingdezhen Ceramic University,Jingdezhen 333403,Jiangxi,China;Guangdong Songfa Ceramics Co.,Ltd.,Jingdezhen 333403,Jiangxi,China;School of Information Engineering,Jingdezhen Ceramic University,Jingdezhen 333403,Jiangxi,China;Office of Science and Technology,Jingdezhen Ceramic University,Jingdezhen 333403,Jiangxi,China;School of Management and Economics,Jingdezhen Ceramic University,Chaozhou 515600,Guangdong,China)

机构地区：[1]景德镇陶瓷大学江西省陶瓷企业信息化工程技术研究中心,江西景德镇333403 [2]广东松发陶瓷股份有限公司,江西景德镇333403 [3]景德镇陶瓷大学信息工程学院,江西景德镇333403 [4]景德镇陶瓷大学科学技术处,江西景德镇333403 [5]景德镇陶瓷大学管理与经济学院,广东潮州515600

出　　处：《陶瓷学报》2024年第4期670-688,共19页Journal of Ceramics

基　　金：潮州市陶瓷产业人才振兴计划(2021YJ03);江西省教育厅科学技术研究项目(GJJ2201049,GJJ2204703);景德镇市科技计划项目(20224GY008-03,2023GY001-01);江西省03专项及5G项目(20232ABC03A29);国家日用及建筑陶瓷工程技术研究中心开放课题基金资助项目(GXZX2306)。

摘　　要：大数据与人工智能技术持续的深化发展及其在陶瓷领域的广泛应用,推动了产业的创新进程和效率的显著提升。本文综述了近年来陶瓷图像智能处理方面的重要研究进展,涵盖了图像修复、质量检测、图像识别、图像检索等多方面关键技术的应用,揭示了人工智能技术如何提升陶瓷设计创新和生产过程的质量。此外,细致分析了智能图像处理技术在优化制造工艺、提高生产效率以及促进陶瓷艺术与文化遗产保护等方面的应用。最后,展望了未来大语言模型如何在陶瓷领域中开拓前沿的创新路径,成为推动行业进步的关键力量。As big data and artificial intelligence(AI)technologies continue to evolve and gain widespread applications in ceramic industry,they powerfully drive the innovation process and significantly enhance the efficiency of production.This paper is aimed to review the progress in intelligent image processing of ceramics in recent years,covering the application of critical technologies,such as image restoration,quality inspection,image recognition and image retrieval,trying to reveal how AI technology can improve the innovation in ceramic design and the quality of production.The application of intelligent image processing technology,in optimizing manufacturing techniques,improving production efficiency,and promoting the preservation of ceramic arts and cultural heritage,will also be discussed.Finally,the role of larger language models in pioneering the frontier of innovation in the ceramics field,as a key force in propelling the ceramic industry growth,will be foreseen.

关 键 词：陶瓷图像处理 机器视觉 人工智能 陶瓷生产 

分 类 号：TQ174.66[化学工程—陶瓷工业]