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不同中药饮片横切面图像纹理特征参数的比较研究
引用本文:陶欧,张百霞,张燕玲,王耘,乔延江.不同中药饮片横切面图像纹理特征参数的比较研究[J].世界科学技术-中医药现代化,2014,16(12):2550-2557.
作者姓名:陶欧  张百霞  张燕玲  王耘  乔延江
作者单位:北京中医药大学中药信息工程研究中心 北京 100102
基金项目: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。
摘    要:目的:比较横切面图像纹理特征参数在相同和不同品种中药饮片中的异同。方法:基于灰度共生矩阵和灰度梯度共生矩阵提取相同和不同种中药饮片的26个纹理特征参数,绘制纹理特征参数变化曲线图,并比较26个纹理特征参数在相同和不同种中药饮片中的异同。结果:基于灰度共生矩阵和灰度梯度矩阵提取的中药饮片纹理特征参数,在相同和不同种中药饮片中既有相似性也有差异性。结论:该方法可以将纹理特征用科学、定量的形式表示,为基于纹理特征参数的中药饮片自动辨识模型的建立奠定基础,但是提取的纹理特征参数依然存在不稳定性,提示我们寻找更好的能表现细节的纹理特征参数,进一步完善中药饮片横切面纹理特征的提取方法。

关 键 词:不同中药饮片  纹理特征参数  灰度共生矩阵  灰度梯度矩阵
收稿时间:2014/12/9 0:00:00
修稿时间:2014/12/18 0:00:00

Comparative Studies on Parameters of Texture Feature of Transverse Section in Different Chinese Herbal Medicine
Tao Ou,Zhang Baixi,Zhang Yanling,Wang Yun and Qiao Yanjiang.Comparative Studies on Parameters of Texture Feature of Transverse Section in Different Chinese Herbal Medicine[J].World Science and Technology-Modernization of Traditional Chinese Medicine,2014,16(12):2550-2557.
Authors:Tao Ou  Zhang Baixi  Zhang Yanling  Wang Yun and Qiao Yanjiang
Institution:Research Center of TCM-information Engineering, Beijing University of Chinese Medicine, Beijing 100102, China
Abstract:This study was aimed to compare the difference of parameters of texture feature in the transverse section images of the same and different Chinese herbal medicine. A total of 26 parameters of herbal medicines were extracted by gray-level co-occurrence matrix and grayscale gradient matrix. The graph of mutative curve was drawn. And differences of 26 parameters of texture feature in the same and different Chinese herbal medicine were compared. The results showed that parameters of texture feature extracted by gray -level co -occurrence matrix and grayscale gradient matrix had similarities and differences in the same and different Chinese herbal medicine. It was concluded that the method can show the texture feature scientifically and quantitatively. It also laid a foundation for the establishment of an automatic identification model, but the parameters still had instability. All these remind us to find some parameters which can show the details of texture feature preferably, thus perfect the extracted method of texture features in Chinese herbal medicine.
Keywords:Different Chinese herbal medicine  parameters of texture feature  gray-level co-occurrence matrix  grayscale gradient matrix
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