Robust estimation of simulated urinary volume from camera images under bathroom illumination

Chizuru Honda, Md Shoaib Bhuiyan, Haruki Kawanaka, Eiichi Watanabe, Koji Oguri

研究成果: Conference contribution

抜粋

General uroflowmetry method involves the risk of nosocomial infections or time and effort of the recording. Medical institutions, therefore, need to measure voided volume simply and hygienically. Multiple cylindrical model that can estimate the fluid flow rate from the photographed image using camera has been proposed in an earlier study. This study implemented a flow rate estimation by using a general-purpose camera system (Raspberry Pi Camera Module) and the multiple cylindrical model. However, large amounts of noise in extracting liquid region are generated by the variation of the illumination when performing measurements in the bathroom. So the estimation error gets very large. In other words, the specifications of the previous study's camera setup regarding the shutter type and the frame rate was too strict. In this study, we relax the specifications to achieve a flow rate estimation using a general-purpose camera. In order to determine the appropriate approximate curve, we propose a binarizing method using background subtraction at each scanning row and a curve approximation method using RANSAC. Finally, by evaluating the estimation accuracy of our experiment and by comparing it with the earlier study's results, we show the effectiveness of our proposed method for flow rate estimation.

元の言語English
ホスト出版物のタイトル2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
出版者Institute of Electrical and Electronics Engineers Inc.
ページ415-418
ページ数4
ISBN(電子版)9781457702204
DOI
出版物ステータスPublished - 13-10-2016
イベント38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States
継続期間: 16-08-201620-08-2016

出版物シリーズ

名前Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
2016-October
ISSN(印刷物)1557-170X

Other

Other38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
United States
Orlando
期間16-08-1620-08-16

    フィンガープリント

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

これを引用

Honda, C., Bhuiyan, M. S., Kawanaka, H., Watanabe, E., & Oguri, K. (2016). Robust estimation of simulated urinary volume from camera images under bathroom illumination. : 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 (pp. 415-418). [7590728] (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; 巻数 2016-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2016.7590728