Effect of smartphone camera settings in colorimetric measurements under controlled illumination

Ritambhara Thakur, Sunita Bhatt, S. Dubey
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引用次数: 2

Abstract

Smartphone based point-of-care diagnostics can be a viable alternative for lab-based methods in low resource settings. However smartphone applications for quantification of colorimetric tests are not robust enough and lack field portability as they require external add-on device to mitigate ambient lighting conditions. To make the system accessory free, we need some features which do not change with ambient light conditions. However, camera ISP system adjust itself to give best image by compromising spectral changes. In this study, we investigated smartphone camera settings; ISO and Focus to study the effect of these settings on colorimetric values in controlled lighting conditions. A total of 198 images were acquired using smartphone, where ISO and focus, were changed manually in different lighting conditions; 3 different color temperature and 10 focus points. It was observed that “Hue” parameter of HSV color space and “a” parameter of CIEL*a*b color space depicts least variation with lighting and ISO variation. Also, colorimetric values change with the focus on strip. Therefore, ISO and Focus settings of smartphone should be taken into account for accurate colorimetric estimation.
智能手机相机设置对受控照明下比色测量的影响
在资源匮乏的环境下,基于智能手机的即时诊断可以成为基于实验室方法的可行替代方案。然而,用于定量比色测试的智能手机应用程序不够强大,并且缺乏现场便携性,因为它们需要外部附加设备来减轻环境照明条件。为了使系统附件自由,我们需要一些不随环境光条件变化的特性。然而,相机的ISP系统调整自己,以获得最佳图像的妥协光谱变化。在这项研究中,我们调查了智能手机的摄像头设置;ISO和Focus来研究这些设置在受控照明条件下对比色值的影响。使用智能手机共获取198张图像,在不同的照明条件下手动改变ISO和对焦;3种不同的色温和10个焦点。观察到HSV色彩空间的“Hue”参数和CIEL*a*b色彩空间的“a”参数随光照和ISO变化最小。此外,比色值随聚焦条的变化而变化。因此,智能手机的ISO和对焦设置应该考虑到准确的比色估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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