Design of portable bacterial vaginosis detection system

Chengsen Zhan, Ting Liu*, He Ding

*Corresponding author for this work

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

Abstract

Bacterial vaginosis (BV) is one of the most common diseases for reproductive age women. BV is usually diagnosed by observing the color changes and ranges of various indicators in the sample, and then obtain further information. So, the identification of sample color is very important. In terms of the traditional testing method, the acquired sample image and the calculated RGB value are used as the basis for judging the condition. Since the RGB value fluctuates greatly due to the external interference such as light source, we propose a new testing method by using the H value in HSV (color model) as the basis for identifying the color of the sample, and develop a novel BV detector based on the Raspberry Pi hardware system and digital image processing algorithm, which realizes the extraction of the color information of the sample. The BV detector mainly encapsulates the Raspberry Pi, camera, LED light source and sample platform. They are all packaged in a homemade box with the small volume of 100 ×100 ×100 mm3, which makes the instrument portable. The BV detection application is designed based on Python programming language combined with OpenCV image processing database to realize Hough circle detection and Hue value of HSV color model for color detection. The experiment results show that the BV instrument has high sensitivity, high accuracy and good stability. It is a good early BV diagnostic instrument and has important application prospect.

Original languageEnglish
Title of host publication13th International Photonics and OptoElectronics Meetings, POEM 2021
EditorsXinliang Zhang, Perry Shum, Jianji Dong
PublisherSPIE
ISBN (Electronic)9781510651845
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event13th International Photonics and OptoElectronics Meetings, POEM 2021 - Wuhan, China
Duration: 6 Nov 20218 Nov 2021

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12154
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference13th International Photonics and OptoElectronics Meetings, POEM 2021
Country/TerritoryChina
CityWuhan
Period6/11/218/11/21

Keywords

  • Bacterial Vaginosis
  • Detection system
  • Image Processing

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Zhan, C., Liu, T., & Ding, H. (2022). Design of portable bacterial vaginosis detection system. In X. Zhang, P. Shum, & J. Dong (Eds.), 13th International Photonics and OptoElectronics Meetings, POEM 2021 Article 121540R (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 12154). SPIE. https://doi.org/10.1117/12.2626577