TY - GEN
T1 - Color Correction Technique using an Artificial Color Board and Root-polynomial Color Correction for Smartphone-Based Urinalysis
AU - Sakinah, Mutiara Nurul
AU - Saputro, Adhi Harmoko
N1 - Funding Information:
ACKNOWLEDGMENT We gratefully acknowledge the financial support from the Universitas Indonesia on International Indexed Publications (PUTI) SAINTEKES No. NKB-2394/UN2.RST/HKP.05.00/ 2020. We would like to thank Tk. 1 Said Sukanto Hospital, Jakarta, Indonesia, for providing urine samples.
Publisher Copyright:
©2021 IEEE
PY - 2021
Y1 - 2021
N2 - Urinalysis is a method that uses urine test strips containing indicators in the form of reagents that will change color when reacting with certain substances in urine that have been determined. Many researchers have developed readings of color change test strips using smartphones due to being portable and easier to use. However, the color information of the obtained image is unstable due to several factors, such as environment light, sensor characteristics, and other stability factors. Color correction was performed to consistently produce color information using the Root-polynomial color correction (RPCC) algorithm based on the color reference standard in Artificial Color Board. The color correction technique was evaluated using images taken with a color temperature variation of 2500 °K – 8500 °K that were recorded using Huawei Nova 5T and Samsung Galaxy A51. The results show that the RPCC method has a good and stable performance on every cellphone used with a color correction evaluation value (ΔE) of 1.8 – 2.6. The results show that the artificial color board and RPCC method can also minimize color temperature so that the color measurement results remain accurate.
AB - Urinalysis is a method that uses urine test strips containing indicators in the form of reagents that will change color when reacting with certain substances in urine that have been determined. Many researchers have developed readings of color change test strips using smartphones due to being portable and easier to use. However, the color information of the obtained image is unstable due to several factors, such as environment light, sensor characteristics, and other stability factors. Color correction was performed to consistently produce color information using the Root-polynomial color correction (RPCC) algorithm based on the color reference standard in Artificial Color Board. The color correction technique was evaluated using images taken with a color temperature variation of 2500 °K – 8500 °K that were recorded using Huawei Nova 5T and Samsung Galaxy A51. The results show that the RPCC method has a good and stable performance on every cellphone used with a color correction evaluation value (ΔE) of 1.8 – 2.6. The results show that the artificial color board and RPCC method can also minimize color temperature so that the color measurement results remain accurate.
KW - Color Correction
KW - RPCC
KW - Smartphone-based
KW - Urinalysis
UR - http://www.scopus.com/inward/record.url?scp=85126955690&partnerID=8YFLogxK
U2 - 10.1109/QIR54354.2021.9716173
DO - 10.1109/QIR54354.2021.9716173
M3 - Conference contribution
AN - SCOPUS:85126955690
T3 - 17th International Conference on Quality in Research, QIR 2021: International Symposium on Electrical and Computer Engineering
SP - 21
EP - 26
BT - 17th International Conference on Quality in Research, QIR 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th International Conference on Quality in Research, QIR 2021: International Symposium on Electrical and Computer Engineering
Y2 - 13 October 2021 through 15 October 2021
ER -