Qinghai Embroidery Classification System and Intelligent Classification Research  

作　　者：Xiaofei Lin Zhonglin Ye Haixing Zhao 

机构地区：[1]College of Computer,Qinghai Normal University,Xining 810008,China [2]The State Key Laboratory of Tibetan Intelligent Information Processing and Application,Xining 810008,China [3]Tibetan Information Processing and Machine Translation Key Laboratory of Qinghai Province,Xining 810008,China [4]Key Laboratory of Tibetan Information Processing,Ministry of Education,Xining 810008,China

出　　处：《国际计算机前沿大会会议论文集》2023年第2期174-190,共17页International Conference of Pioneering Computer Scientists, Engineers and Educators（ICPCSEE）

基　　金：Zhonglin Ye,[e-mail]。

摘　　要：.Qinghai embroidery is an artistic treasure of folk embroidery in Qing-hai Province.Classifying them to understand the differences between them is an important task.However,currently,there is a lack of a systematic classifi-cation method for Qinghai embroidery.First,by studying the history of Qinghai embroidery and a large number of Qinghai embroidery patterns,this paper divides Qinghai embroidery patterns into three categories:animals and plants,auspicious meanings,and geometric decoration.This method breaks through the regional classification system for the Qinghai embroidery.Second,this article utilizes four CNN models to classify the Qinghai embroidery datasets,exploring the differ-ences in the classification of Qinghai embroidery by different models andfinding the optimal classification model.The results show that the GoogLeNet model per-forms the best in the classification of Qinghai embroidery images,achieving the highest accuracy rate.This is mainly due to the small size of the Qinghai embroi-dery datasets and the application of the Inception structure and batch normalization technology in the GoogLeNet model,enabling it to better extract features and clas-sify Qinghai embroidery images.Through this research,we can provide a certain reference and assistance for the classification of Qinghai embroidery images and provide technical support for the protection and inheritance of cultural heritage.

关 键 词：Qinghai Embroidery Culture Convolutional Neural Network Image Classification 

分 类 号：P31[天文地球—固体地球物理学]