摘要
随着对巴文化研究的深入,巴文化遗产的数字化保护和传播越来越重要,其中图像显著性检测更是基础。文中将显著性检测应用到巴文化图像,针对不同类型的巴文化图像提取不同的特征,采用不同的显著性检测算法得到不同的显著图,同时在频域上得到多尺度显著图,并从中筛选出最优显著图,将两者进行贝叶斯融合得到巴文化图像显著图。文中给出巴文化图像显著性检测的方法,为巴文化图像显著性检测提供技术参考和方法支持。
With the in-depth study of Ba culture,the digital protection and dissemination of Ba cultural heritage is becoming more and more important,and image saliency detection is the foundation. This paper applies saliency detection to Ba culture images,extracts different features for different types of Ba culture images,uses different saliency detection algorithms to obtain different saliency maps,and at the same time obtains multi-scale saliency maps in the frequency domain. The optimal saliency map is screened out,and the two are Bayesian fusion to obtain the Ba culture images saliency map. This article gives a method for the saliency detection of Ba cultural images,and provides technical reference and method support for the saliency detection of Ba cultural images.
作者
袁小艳
YUAN Xiaoyan(Institute of Intelligent Manufacturing,Sichuan University of Arts and Science,Dazhou 635000,China)
出处
《电子设计工程》
2022年第9期62-65,70,共5页
Electronic Design Engineering
关键词
数字化
巴文化
图像
显著性
digital
Ba culture
image
significance
