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通过可见光学图像处理量化测量皮肤表面水分:试点研究

Yue Wu1,2,3, Jianghong Ran1,2,3, Toshiyuki Tanaka4

  • 1Beijing Key Laboratory of Plant Resources Research and Development, Beijing Technology and Business University, Beijing, China.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
|June 12, 2024
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概括

使用可见光图像用新的GVR指数量化皮肤表面水分. 这种方法为传统的皮肤水分评估技术提供了快速,高效和可靠的替代方案.

关键词:
这是一个生物物理参数.非侵入性皮肤测量方法反射力 反射力是什么?皮肤屏障的功能是皮肤屏障的功能.皮肤光学属性 皮肤光学属性

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科学领域:

  • 皮肤病学 皮肤病学
  • 图像处理 图像处理
  • 生物医学工程 生物医学工程

背景情况:

  • 皮肤水分显著影响皮肤屏障功能.
  • 目前的非侵入性水分测量方法 (电气性能) 有局限性.
  • 对于皮肤水分评估的图像处理是不发达的,特别是使用可见光成像.

研究的目的:

  • 提出一个定量算法,用可见光图像来评估皮肤表面水分.
  • 从数字图像开发一种新的皮肤水分评估指数.

主要方法:

  • 使用皮肤图像捕捉设备和两个商业皮肤水化设备进行比较.
  • 开发了一个数字图像处理算法,以创建皮肤水分的GVR (绿紫红) 指数.
  • 应用CLAHE用于图像对比度增强,细分反射率图像,并为单个位置和整个面部计算GVR.
  • 进行统计分析,以确定GVR与既定方法之间的相关系数.

主要成果:

  • 基于可见光图像的皮肤水分估计受局部区域和整体面部结构的影响.
  • 从可见图像的皮肤水分测量和电气评估之间发现了强烈的关联,并注意到了显著的差异.

结论:

  • 来自可见图像的反射测量提供了一种快速有效的方法来量化皮肤表面的水分.
  • 开发的GVR指数显示,它是一个可靠的皮肤水分评估工具.