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基于智能手机的色度检测平台使用颜色校正算法来减少外部干扰.

Ruidong Meng1, Zhicheng Yu1, Qiang Fu1

  • 1Ministry of Education Key Laboratory of Laser Life Science & Guangdong Provincial Key Laboratory of Laser Life Science & Guangzhou Key Laboratory of Spectral Analysis and Functional Probes, College of Biophotonics, South China Normal University, Guangzhou 510631, China.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|May 1, 2024
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概括
此摘要是机器生成的。

这项研究开发了一个智能手机应用程序 (SMP-CC),用于准确的色度分析,克服照明和相机变化. 该应用程序可实现可靠的分析物检测,增强移动健康诊断.

关键词:
颜色校正 颜色校正 颜色校正测色仪检测检测的颜色测量检测.便携式设备是一种便携式设备.一个智能手机的智能手机.

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科学领域:

  • 分析化学 分析化学
  • 移动卫生技术 移动卫生技术
  • 数字成像技术的数字成像.

背景情况:

  • 基于智能手机的数字图像色度测量提供了一种快速,经济高效的分析物检测方法.
  • 检测准确度经常受到不同设备的可变照明条件和相机参数的影响.
  • 这限制了智能手机测色仪在各种现实场景中的广泛应用.

研究的目的:

  • 开发一个Android应用程序 (SMP-CC),用于基于智能手机的强大的数字图像色度测量.
  • 实现一种算法,能够纠正照明和智能手机相机规格的变化.
  • 为了验证该应用程序在检测常见尿液分析物的性能.

主要方法:

  • 开发一个集成图像采集,色彩校正和分析的Android应用程序 (SMP-CC).
  • 使用自定义颜色卡和内置算法来最大限度地减少与标准值的颜色差异.
  • 验证算法的有效性,以减少外部照明和设备变化的影响.
  • 测试应用程序的可行性,以测试尿液pH,葡萄糖和蛋白质的色度检测.

主要成果:

  • 与标准色度仪相比,SMP-CC应用程序成功将颜色差异最小化到不到4.36.
  • 集成的算法有效地消除了环境照明和智能手机型号差异的影响.
  • 通过精确的色度检测尿液pH,葡萄糖和蛋白质来证明可行性.

结论:

  • 开发的SMP-CC应用程序为基于智能手机的数字图像色度测量提供了一个可靠和准确的平台.
  • 该算法有效地解决了与照明和设备可变性相关的关键挑战,扩大了潜在的应用.
  • SMP-CC显示出使用智能手机的低成本,可访问的临床诊断的巨大潜力.