Urine color analysis based on a computer vision system: A review

The traditional method of urine color analysis is achieved by visual examination. However, this method has a high level of incompetence and inaccuracy. Complete urinalysis testing has various limitations due to the great number of samples processed, impaired color discrimination by the naked eye, the required time for testing, and the work involved in the prepared sample and processing. Recently, digital color image processing has attracted considerable attention due to it is great sensitivity, rapidity, and facility in which color is measured and translated into numerical values that may be regarded as signals for analysis using the RGB color system and color information is readout. In this review, we present different ways in recent developments in automated urinalysis. This paper reviews the colorimetric sensing, camera, smartphone, and scanner methods and describes their advantages and limitations.