激光生物学报2018，Vol.27Issue(1)：16-20,5.DOI:10.3969/j.issn.1007-7146.2018.01.003
人体皮肤的双光子图像纹理特征提取方法
Texture Feature Extraction of Two-photon Image of Human Skin
摘要
Abstract
In recent years,the rapid progress of non-destructive diagnosis of scar has been achieved by computer tech-nology, and the quantitative analysis of scar image texture has been well diagnosed. In this process there have been many texture description methods, the proposed method also contributed to the development of texture research. In this paper, we introduce the experimental results of different methods on the scar image by using the gradient iterative regres-sion tree algorithm,and get the regression model of different methods in the case of gray level co-occurrence matrix(GL-CM) and local ternary pattern(LTP) statistical analysis methods. The performance of these models is reflected in the a-bility to predict the scars of different ages. The local difference local binary pattern(LD-LBP) operator and the local ori-entation ternary pattern(LOTP) operator have the best predictors of the model,which shows that they are one of the most accurate methods for describing the texture of scar images. The statistical texture analysis method is suitable for the tex-ture study of scar images.关键词
皮肤瘢痕/纹理特征/特征量化/局部描述子Key words
skin scar/texture features/feature quantification/local descriptor分类
生物科学引用本文复制引用
刘高强,李吉春,林海洪,余浩天,陈冠楠..人体皮肤的双光子图像纹理特征提取方法[J].激光生物学报,2018,27(1):16-20,5.基金项目
福建省自然科学基金面上项目(2010J05130) （2010J05130）
福建省科技创新人才项目(2016B011) （2016B011）
国家教育部创新团队发展计划项目(IRT15R10) （IRT15R10）
福建省科技厅光电传感应用工程技术研究中心开放课题 （）
