Urine Color Identification by Fuzzy C-means Color Quantization
نویسندگان
چکیده
The urine color can be an indication of the status of health, especially for the patients with urinary catheterization after a medical intervention. Urinary tract infections are the most frequently developed infections among patients receiving treatment in medical institutions. Sometimes signs and symptoms of infection can be observed from the urine color. However, it is a difficult task for nursing staff to correctly identify them on the site with a naked-eye without proper tools. To better assist nursing staff in urine color automatic identification, we have developed a device of urine color identification based on microcontroller unit framework and digital image processing technique of color quantization. The Fuzzy C-means algorithm is applied in the color quantization method. In our experimental results, the developed device with the Fuzzy C-means algorithm has demonstrated its capability of the urine color identification.
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