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基于灰度共生矩阵的中药饮片横切面图像纹理特征参数的提取
  • ISSN号:1664-3849
  • 期刊名称:世界科学技术-中医药现代化
  • 时间:2014.12.19
  • 页码:2531-2537
  • 分类:R282.5[医药卫生—中药学;医药卫生—中医学]
  • 作者机构:[1]北京中医药大学中药信息工程中心,北京100102
  • 相关基金:国家自然科学基金委青年基金项目(81102800):基于辩状论质思想的中药质量性状评价数学模型研究,负责人:陶欧;教育部新世纪优秀人才支持项目(NCET-11-0605):中药信息融合与利用,负责人:王耘.
  • 相关项目:基于辩状论质思想的中药质量性状评价数学模型研究
中文摘要:

中药数字化是中药质量控制客观化与定量化的重要手段之一。为了解决中药数字化过程中的数据质量问题和基于中药纹理图像的品种自动识别问题,本文选取12种中药饮片,采集其切面纹理图像,基于灰度共生矩阵提取了11个纹理特征参数,分析两像素间距、角度对纹理特征参数的影响,结果表明在像素间距d=3、角度兹=0毅时所提取的纹理特征参数有利于表征中药饮片切面纹理特征。通过对中药饮片切面图像纹理量化特征的提取和分析,表明了将图像分析方法用于中药品种自动识别的可行性,为中药直观鉴别的定量化、客观化提供了一套新的技术手段。

英文摘要:

Digitalization is an important method for the objectification and quantification of quality control on Chi-nese herbal medicine. To solve the problem of texture online visualization of Chinese herbal medicine and the estab-lishment of automatic identification method based on the texture, 12 Chinese herbal medicines were selected to cap-ture the images of their transverse sections. A total of 11 features were extracted from images using Gray-level Co-occurrence Matrix (GLCM) method. Through analyzing the influence of distances and angles between pixels on identi-fication results, it was concluded that when the distance was d = 3 and the angle was θ = 0°, the features extracted were suitable for expressing the texture of the transverse sections. The results indicated the feasibility of establishing the automatic identification method on Chinese herbal medicine based on image of transverse section. It will provide new technologies for the objectification and quantification of identification on Chinese herbal medicine.

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