基于颜色特征提取的四川古壁画分类识别研究  

Classification and Recognition of Ancient Mural Paintings in Sichuan Based on Color Feature Extraction

作　　者：李雅梅[1] LI Yamei(College of Arts,Chongqing University,Chongqing 401331,China)

机构地区：[1]重庆大学艺术学院,重庆401331

出　　处：《西南大学学报（自然科学版）》2022年第5期203-208,共6页Journal of Southwest University(Natural Science Edition)

基　　金：国家自然科学基金项目(61402020);教育部社科基金规划项目(15YJA760019).

摘　　要：通过对四川古壁画的现场考察和特征分析,提出基于颜色特征提取的四川古壁画分类识别方法,经多次实验确定最佳方案,最后实现古壁画的自动识别系统,实验结果证明了该识别系统的有效性.Based on the analysis of the characteristics of ancient mural paintings in Sichuan,this paper puts forward a classification and recognition method of ancient mural paintings in Sichuan based on color feature extraction.The best scheme was determined after many experiments,and the automatic recognition system of ancient mural paintings was realized.The experimental results proved the effectiveness of the recognition system.

关 键 词：古壁画 颜色 特征提取 分类识别 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] K854.2[自动化与计算机技术—计算机科学与技术]