Urine test paper physiological index quantification identification method based on cloud platform

Abstract

The invention relates to a urine test paper physiological index quantification identification method based on a cloud platform, and the urine test paper comprises three parts including a two-dimensional code, a standard color card and a test paper. After using the test paper for a urine test, a user takes a photo of the test paper through a mobile phone, a test paper image is automatically acquired and uploaded to the cloud platform, the cloud form integrates an image identification method, the image is processed, and a result is returned to the mobile phone. The identification method comprises the steps: Harris corner detection and calibration are performed on the image; the image space is converted from RGB to CIELAB, the chromatic aberration between the color of the test paper and the color lump of a standard colourimetric card is calculated, a KNN (k-Nearest Neighbour) is adopted to sort the color of the test paper to a corresponding kind in the colourimetric card, and the analysis for test paper measurement index is automatically completed. According to the invention, the method is rapid and simple, problems of ambient light interference and low human eye identification accuracy are avoided, the cost is low, in addition, the method can be used for screening patients with early chronic kidney disease and patients with diabetes, and the risk of diseases is reduced.

Description

technical field [0001] The invention belongs to the category of image recognition, and in particular relates to a quantitative recognition method for physiological indicators of urine test strips based on a cloud platform, which can be used for hospital emergency treatment and screening of patients with early and chronic kidney disease and diabetes. Background technique [0002] In the medical field, the diagnosis of a disease usually requires the measurement of various parameters, most of which come from the test results of the samples, and the use of test strips is a widely used detection method. Among the many tests, urinalysis is an important means of detecting many diseases, and it is of great significance in clinical diagnosis. At present, many electronic devices have entered the medical field, and urine analyzers have also appeared one after another. Urine analyzers generally have a dedicated reagent strip, and the reagent strip row contains several reagent blocks, w...

AI Technical Summary

Problems solved by technology

Using traditional methods for urine testing, the process is complicated and the cycle is long

Although urine analyzers can quickly and accurately measure various indicators of urine, most urine analyzers are too expensive and have a limited detection range, so matching test strips must be used for testing

However, the traditional human eye contrast recognition method is inefficient and easily affected by the subjective factors of the staff. In order to solve these problems, a cloud-based urine test strip image recognition method is proposed, which can be used on mobile devices. Detection, to help users perform urine self-test at home, adopts the method of urine dry chemical analysis, use mobile device camera to scan test paper and color card to get semi-quantitative measurement results, with low cost, fast detection, easy to use, etc. advantage

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