A smart phone-based robust correction algorithm for the colorimetric detection of Urinary Tract Infection

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

This paper presents the preliminary work of developing a smart phone based application for colorimetric detection of Urinary Tract Infection. The purpose is to make a smart phone function as a practical point-of-care device for nurses or medical personnel without access to strip readers. The main challenge is the constancy of camera color perception across different illuminations and devices, which is the first step towards a practical solution without additional equipment. A reported black and white reference correction and a comprehensive color image normalization have been utilized in this work. Comprehensive color image normalization appears to be quite effective at correcting the difference in perceived color due to different illumination, and is therefore a candidate for inclusion in the further work.

Original languageEnglish
Title of host publication2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1251-1254
Number of pages4
ISBN (Electronic)9781424492718
DOIs
StatePublished - 4 Nov 2015
Externally publishedYes
Event37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy
Duration: 25 Aug 201529 Aug 2015

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume2015-November
ISSN (Print)1557-170X

Conference

Conference37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
Country/TerritoryItaly
CityMilan
Period25/08/1529/08/15

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