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基于多光谱成像技术的宣纸形态学特征分析

何少岩 陈舜儿 翟浩田 刘伟平

测试科学与仪器Issue(4):46-51,6.
测试科学与仪器Issue(4):46-51,6.DOI:10.3969/j.issn.1674-8042.2014.04.009

基于多光谱成像技术的宣纸形态学特征分析

Analysis of rice paper’s morphological features based on multispectral imaging technology

何少岩 1陈舜儿 1翟浩田 1刘伟平1

作者信息

  • 1. 暨南大学 电子工程系,广东 广州 510632
  • 折叠

摘要

Abstract

Computer forensics and identification for traditional Chinese painting arts have caught the attention of various fields .Rice paper’s feature extraction and analysis methods are of high significance for the rice paper is an important carrier of traditional Chinese painting arts .In this paper ,rice paper’s morphological feature analysis is done using multi spectral imaging technology .The multispectral imaging system is utilized to acquire rice paper ’s spectral images in different wave-length channels ,and then those spectral images are measured using texture parameter statistics to acquire sensitive bands for rice paper’s feature .The mathematical morphology and grayscale statistical principle are utilized to establish a rice paper ’s morphological feature analytical model which is used to acquire rice paper’s one-dimensional vector .For the purpose of eval-uating these feature vectors’ accuracy ,they are entered into the support vector machine (SVM) classifier for detection and classification .The results show that the rice paper’s feature is out loud in the spectral band 550 nm ,and the average classifi-cation accuracy of feature vectors output from the analytical model is 96% .The results indicate that the rice paper’s feature analytical model can extract most of rice paper’s features with accuracy and efficiency .

关键词

宣纸/多光谱成像/特征分析/数学形态学

Key words

rice paper/multispectral imaging/texture analysis/mathematical morphology

分类

信息技术与安全科学

引用本文复制引用

何少岩,陈舜儿,翟浩田,刘伟平..基于多光谱成像技术的宣纸形态学特征分析[J].测试科学与仪器,2014,(4):46-51,6.

基金项目

University-Industry-Science Partnership Project of Guangdong Province and Ministry of Education , China ( No .2012B091000155);Strategic Emerging Industries Project of Guangdong Province ()

测试科学与仪器

OACSCD

1674-8042

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