基于未确知测度模型的少数民族民间艺术数字化

Ethnic minority folk art digitalization based on unascertained measurement model

为了更好地实现对少数民族民间艺术的数字化整合,避免信息查找困难及数据遗失等问题,基于未确知测度模型提出少数民族民间艺术数字化处理方法。通过调查分析法采集少数民族民间艺术现存档案,并输入数字化平台中进行特征分析,结合神经网络原理分析结果进行分类存储,并结合位置测度模型对不同类别的民间艺术进行种类检索和加密处理,最终实现对少数民族民间艺术数字化处理的研究目标。实验结果表明,基于未确知测度模型的少数民族民间艺术数字化方法相对于传统方法有更高的存储效果和便捷性,充分满足研究要求。

The research on the ethnic minority folk art′s digitalization processing method based on unascertained measurement model is put forward to well realize the digitalization integration of the folk arts and avoid the difficulties of information searching and data loss.By investigation and analysis,the existing archives of ethnic minority folk arts are collected and input into a digital platform for feature analysis.The analysis results are classified and stored according to the neural network.The different types of folk arts are subjected into category retrieval and encryption in combination with the location measurement model.So far,the research target of digital processing of ethnic minority folk arts is realized.The experimental results prove that the ethnic minority folk art′s digitalization processing method based on unascertained measurement model has better storage effect and handy performance than the traditional method,which fully meets the research requirements.