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最佳的色彩空间使得基于智能手机的色度感测具有优势

Amauri Horta-Velázquez¹, Gabriel Ramos-Ortiz², Eden Morales-Narváez³

¹Centro de Investigaciones en Óptica (CIO), A. C., Loma Del Bosque 115, Lomas Del Campestre, León, 37150, Guanajuato, Mexico; Biophotonic Nanosensors Laboratory, Centro de Física Aplicada y Tecnología Avanzada (CFATA), Universidad Nacional Autónoma de México (UNAM), Querétaro, 76230, Mexico.

Biosensors & bioelectronics

|January 16, 2025

概括

在智能手机色度传感器中优化色彩空间,可以实现无外,不变照明的检测. 这一突破通过提高光学生物传感器的可靠性和可负担性来加强现场测试.

科学领域:

分析化学分析化学
光学传感传感器是什么?
生物技术是生物技术.

背景情况:

智能手机色度传感器提供便携式现场测试,但受到照明敏感性的影响.
传统的解决方案使用固定光源,增加成本和复杂性,与现场测试优先级相矛盾.

研究的目的:

为了证明优化色彩空间选择可以实现无外,不变照明的智能手机色度传感.
为了评估基于智能手机的定量色度测量不同颜色空间的性能和可靠性.

主要方法:

在可见光谱中使用单调色调进行量化性能评估.
使用自定义算法从自动选择的感兴趣区域 (ROI) 提取颜色坐标.
基于RGB和CIELAB颜色空间的模型进行比较,重点是色系坐标 (a*和b*).

主要成果:

智能手机测色仪显示了更广泛的测量范围和可比的检测极限,以吸收率为基础的模型.
RGB彩色空间模型对照明变化高度敏感,影响了可靠性.
CIELAB彩色空间 (a*和b*坐标) 显示了对照明变化的固有抵抗力.

结论:

优化色彩空间选择,特别是CIELAB,可以实现强大的,不变照明的智能手机色度传感.
均色表面的概念为设计弹性光学 (生物) 传感器提供了理论基础.
这种方法促进了更简单,更实惠,更可靠的现场测试解决方案.

关键词:

测色仪的颜色测量方法集成的生物传感器在现场进行测试.光学生物传感器的生物传感器护理中心的关心点

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Color Vision

Color Vision

Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.