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Check4Urine: 스마트폰 기반 휴대용 소변검사 시스템

Check4Urine: Smartphone-based Portable Urine-analysis System

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참고문헌

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초록

Recently, a few image-processing based mobile urine testers have actively been studied since the urine-analysis result can be available to the user in real time immediately after the test is done. However, the accuracy of test result can be severely degraded due to variable illumination environments and a variety of manners to capture the image with a camera embedded in the smartphone according to different users. This paper proposes the Check4Urine system, a novel smartphone-based portable urine-analysis tester and provides three techniques to improve such a performance degradation problem robust to various test environments and disturbances, which are the compensation algorithm to correct the varying illumination effect, an urine strip detection algorithm robust to edge loss of the object image, and the color decision algorithm based on the pre-processed reference table. Experimental results show that the proposed Check4Urine system increases the accuracy of urine-analysis by 20-50% at various test conditions, compared with the existing image-processing based mobile urine tester.

Abstract

Recently, a few image-processing based mobile urine testers have actively been studied since the urine-analysis result can be available to the user in real time immediately after the test is done. However, the accuracy of test result can be severely degraded due to variable illumination environments and a variety of manners to capture the image with a camera embedded in the smartphone according to different users. This paper proposes the Check4Urine system, a novel smartphone-based portable urine-analysis tester and provides three techniques to improve such a performance degradation problem robust to various test environments and disturbances, which are the compensation algorithm to correct the varying illumination effect, an urine strip detection algorithm robust to edge loss of the object image, and the color decision algorithm based on the pre-processed reference table. Experimental results show that the proposed Check4Urine system increases the accuracy of urine-analysis by 20-50% at various test conditions, compared with the existing image-processing based mobile urine tester.

참고문헌 (11)

  1. B. Lee, "Open the Key to Smart Health-Care Market", pp.1~10 (2014), Digieco
  2. "Simple Urinalysis"[URL]
  3. J. Hong, "Development of the smartphone-based colorimetry for multi-analyte sensing arrays", Lab on a Chip, 14(10), pp.1725~1732 (2014)
  4. J. Na, "Used Lab colors, Illumination revision of non-proper image", Proceedings of Spring Conference of Korea Multimedia Society, pp.44~48 (2009)
  5. J. Cho, "Adaptive Mobile Urin Tester for Varying Illumination Environment", Proceedings of Korea Computer Congress, pp.417~419 (2014)
  6. I. Fogel, "Gabor filters as texture discriminator", Biological cybernetics, 61(1), pp.103~113 (1989)
  7. C. Harris, "A combined corner and edge detector", Proceedings of Alvey vision conference, 15, pp.147~151 (1988)
  8. J. Cho, "Urine Strip Detection Algorithm Robust to Edge Loss", Proceedings of IEMEK Fall Conference, pp.468~471 (2014)
  9. S. Cho, "A Vision-based Road Following Scheme for Unmanned Aerial Vehicles", Proceedings of Autumn Conference of The Korean Society for Aeronautical and Space Sciences, pp.673~678 (2012)
  10. D. Frolova, "Matching with Invariant Features", pp.1~74 (2004), The Weizmann Institute of Science
  11. "URiTROL"[URL]

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