Presentation 2015-03-17
Effectiveness of Background Subtraction Method and Noise Reduction in Binary Images as for Estimating Volume of Liquid Imitating Male Urination
Atsushi ISOMURA, Haruki KAWANAKA, Koji OGURI, Eiichi WATANABE,
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Abstract(in English) Our study aims to estimate the total volume and flow rate of male urination by camera. A convenient way of measuring urine volume and urine flow rate would help urine volume management for inpatients of cardiovascular disease and early detect lower urinary tract symptom (LUTS). After imaging liquid imitating male urination in air, we applied background subtraction method for converting raw image to binary image with the white pixels representing liquid. Since we conducted imaging under lighting condition of fluorescent light, there were noise inside binary images. After reducing noise based on the approximate curve line of liquid in each binary image, estimation of total volume and flow rate accuracy increased. Our result showed effectiveness of background subtraction method and noise reduction in binary images for the estimation.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Urine Volume / Urine Flow Rate / Background Subtraction Method / Image Processing / Flow Estimation
Paper # MBE2014-141,NC2014-92
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Committee NC
Conference Date 2015/3/9(1days)
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Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Effectiveness of Background Subtraction Method and Noise Reduction in Binary Images as for Estimating Volume of Liquid Imitating Male Urination
Sub Title (in English)
Keyword(1) Urine Volume
Keyword(2) Urine Flow Rate
Keyword(3) Background Subtraction Method
Keyword(4) Image Processing
Keyword(5) Flow Estimation
1st Author's Name Atsushi ISOMURA
1st Author's Affiliation Graduate School of Information Science and Technology, Aichi Prefectural University()
2nd Author's Name Haruki KAWANAKA
2nd Author's Affiliation Graduate School of Information Science and Technology, Aichi Prefectural University
3rd Author's Name Koji OGURI
3rd Author's Affiliation Graduate School of Information Science and Technology, Aichi Prefectural University
4th Author's Name Eiichi WATANABE
4th Author's Affiliation Department of Cardiology, Fujita Health University
Date 2015-03-17
Paper # MBE2014-141,NC2014-92
Volume (vol) vol.114
Number (no) 515
Page pp.pp.-
#Pages 6
Date of Issue