دورية أكاديمية
A novel systems solution for accurate colorimetric measurement through smartphone-based augmented reality.
| العنوان: | A novel systems solution for accurate colorimetric measurement through smartphone-based augmented reality. |
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| المؤلفون: | Zhang G; Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, Columbus, Ohio, United States of America.; Department of Electrical and Computer Engineering, The Ohio State University, Columbus, Ohio, United States of America.; Geospatial Data Analytics Lab, The Ohio State University, Columbus, Ohio, United States of America., Song S; Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, Columbus, Ohio, United States of America.; Geospatial Data Analytics Lab, The Ohio State University, Columbus, Ohio, United States of America., Panescu J; Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, Columbus, Ohio, United States of America., Shapiro N; Institute for Society and Genetics, University of California, Los Angeles, Los Angeles, California, United States of America., Dannemiller KC; Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, Columbus, Ohio, United States of America.; Environmental Health Sciences, The Ohio State University, Columbus, Ohio, United States of America.; Sustainability Institute, The Ohio State University, Columbus, Ohio, United States of America., Qin R; Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, Columbus, Ohio, United States of America.; Department of Electrical and Computer Engineering, The Ohio State University, Columbus, Ohio, United States of America.; Geospatial Data Analytics Lab, The Ohio State University, Columbus, Ohio, United States of America.; Translational Data Analytics Institute, The Ohio State University, Columbus, Ohio, United States of America. |
| المصدر: | PloS one [PLoS One] 2023 Jun 15; Vol. 18 (6), pp. e0287099. Date of Electronic Publication: 2023 Jun 15 (Print Publication: 2023). |
| نوع المنشور: | Journal Article; Research Support, U.S. Gov't, Non-P.H.S. |
| اللغة: | English |
| بيانات الدورية: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: San Francisco, CA : Public Library of Science |
| مواضيع طبية MeSH: | Augmented Reality* , Mobile Applications*, Humans ; Smartphone ; Colorimetry ; Lighting |
| مستخلص: | Quantifying the colors of objects is useful in a wide range of applications, including medical diagnosis, agricultural monitoring, and food safety. Accurate colorimetric measurement of objects is a laborious process normally performed through a color matching test in the laboratory. A promising alternative is to use digital images for colorimetric measurement, due to their portability and ease of use. However, image-based measurements suffer from errors caused by the non-linear image formation process and unpredictable environmental lighting. Solutions to this problem often perform relative color correction among multiple images through discrete color reference boards, which may yield biased results due to the lack of continuous observation. In this paper, we propose a smartphone-based solution, that couples a designated color reference board with a novel color correction algorithm, to achieve accurate and absolute color measurements. Our color reference board contains multiple color stripes with continuous color sampling at the sides. A novel correction algorithm is proposed to utilize a first-order spatial varying regression model to perform the color correction, which leverages both the absolute color magnitude and scale to maximize the correction accuracy. The proposed algorithm is implemented as a "human-in-the-loop" smartphone application, where users are guided by an augmented reality scheme with a marker tracking module to take images at an angle that minimizes the impact of non-Lambertian reflectance. Our experimental results show that our colorimetric measurement is device independent and can reduce up to 90% color variance for images collected under different lighting conditions. In the application of reading pH values from test papers, we show that our system performs 200% better than human reading. The designed color reference board, the correction algorithm, and our augmented reality guiding approach form an integrated system as a novel solution to measure color with increased accuracy. This technique has the flexibility to improve color reading performance in systems beyond existing applications, evidenced by both qualitative and quantitative experiments on example applications such as pH-test reading. Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: The authors have filed a provisional patent application on this work. (Copyright: © 2023 Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.) |
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| تواريخ الأحداث: | Date Created: 20230615 Date Completed: 20230619 Latest Revision: 20231120 |
| رمز التحديث: | 20240628 |
| مُعرف محوري في PubMed: | PMC10270580 |
| DOI: | 10.1371/journal.pone.0287099 |
| PMID: | 37319291 |
| قاعدة البيانات: | MEDLINE |
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