TY - GEN
T1 - Intelligent method for dipstick urinalysis using smartphone camera
AU - Ginardi, R. V.Hari
AU - Saikhu, Ahmad
AU - Sarno, Riyanarto
AU - Sunaryono, Dwi
AU - Kholimi, Ali Sofyan
AU - Shanty, Ratna Nur Tiara
PY - 2014
Y1 - 2014
N2 - This paper introduces an intelligent method for helping people to maintain their healthy by doing a self urinalysis utilising a smartphone camera. A color sensing method using a smartphone camera is designed to determine the value of a reagent strip in a urinalysis dipstick. In the dipstick urinalysis, a color change in each reagent strip is examined. This color change is a result of the reaction of dipstick to the chemical contents of urine including pH, Protein, Glucose, Ketones, Leucocyte, Nitrite, Bilirubine, and Urobilinogen. Performing disptick urinalysis can be done in almost any places even on the very remote area where medical laboratory cannot be found, and it is much easier and cheaper than medical lab visit. The proposed intelligent method includes a framework for color acquisition using a smartphone camera which covers the color management system, color correction, color matching, and quantification. The usage of RGB and CIELAB color space is discussed in the color management part. An automated color constancy approach is introduced to provide a better color correction, and a step-wise linear interpolation is introduced to better estimate the urinalysis value. To implement this proposed method, a closed acquisition box does not required. Disptick capturing can be done directly with a smartphone camera in almost any normal lighting condition.
AB - This paper introduces an intelligent method for helping people to maintain their healthy by doing a self urinalysis utilising a smartphone camera. A color sensing method using a smartphone camera is designed to determine the value of a reagent strip in a urinalysis dipstick. In the dipstick urinalysis, a color change in each reagent strip is examined. This color change is a result of the reaction of dipstick to the chemical contents of urine including pH, Protein, Glucose, Ketones, Leucocyte, Nitrite, Bilirubine, and Urobilinogen. Performing disptick urinalysis can be done in almost any places even on the very remote area where medical laboratory cannot be found, and it is much easier and cheaper than medical lab visit. The proposed intelligent method includes a framework for color acquisition using a smartphone camera which covers the color management system, color correction, color matching, and quantification. The usage of RGB and CIELAB color space is discussed in the color management part. An automated color constancy approach is introduced to provide a better color correction, and a step-wise linear interpolation is introduced to better estimate the urinalysis value. To implement this proposed method, a closed acquisition box does not required. Disptick capturing can be done directly with a smartphone camera in almost any normal lighting condition.
KW - color constancy
KW - color sensing
KW - dipstick urinalysis
UR - http://www.scopus.com/inward/record.url?scp=84958531583&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-55032-4_7
DO - 10.1007/978-3-642-55032-4_7
M3 - Conference contribution
AN - SCOPUS:84958531583
SN - 9783642550317
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 66
EP - 77
BT - Information and Communication Technology - Second IFIP TC5/8 International Conference, ICT-EurAsia 2014, Proceedings
PB - Springer Verlag
T2 - 2nd IFIP TC5/8 International Conference on Information and Communication Technology, ICT-EurAsia 2014
Y2 - 14 April 2014 through 17 April 2014
ER -