A method for determining the dark response for scientific imaging with smartphones
Article
Article Title | A method for determining the dark response for scientific imaging with smartphones |
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ERA Journal ID | 1631 |
Article Category | Article |
Authors | Igoe, D. (Author), Parisi, A. V. (Author) and Carter, B. (Author) |
Journal Title | Instrumentation Science and Technology |
Journal Citation | 42 (5), pp. 586-592 |
Number of Pages | 7 |
Year | 2014 |
Publisher | Taylor & Francis |
Place of Publication | United States |
ISSN | 0733-4680 |
1073-9149 | |
1525-6030 | |
Digital Object Identifier (DOI) | https://doi.org/10.1080/10739149.2014.915557 |
Web Address (URL) | https://www.tandfonline.com/doi/full/10.1080/10739149.2014.915557 |
Abstract | The proliferation of smartphone technology has provided an unprecedented opportunity for greater community participation in collaborative scientific observations that were once out of reach due to cost, accessibility and ease of use. Currently, there have been several applications making use of the various sensors included in a smartphone, particularly the image sensor, which has been used in a wide range of scientific endeavours including air quality and medicine. Like all digital image sensors, the one included in a smartphone is subject to noise, particularly that related to dark current. The objective of this paper is to present the development and testing of a method to determine the dark response that a smartphone camera may experience under different temperatures representative of the environmental conditions under which the phone may be used for scientific imaging. This has required the development and testing of a specially developed app. This was tested in the evaluation and analysis of the dark response of a smartphone camera for the range of 8oC to 38oC. The mean of the dark response was relatively unchanged over this range. The method developed in this paper allows the quick and easy determination of the dark response of smartphone image sensors, enabling this to be readily subtracted from the signal in the development of scientific investigations using the smartphone image sensor. |
Keywords | UV; smartphone; dark response |
ANZSRC Field of Research 2020 | 460608. Mobile computing |
400999. Electronics, sensors and digital hardware not elsewhere classified | |
460306. Image processing | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Faculty of Health, Engineering and Sciences |
School of Agricultural, Computational and Environmental Sciences | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q29x2/a-method-for-determining-the-dark-response-for-scientific-imaging-with-smartphones
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