Method for detecting substance concentration of sample based on pushing direction identification of urine drying test strip

Abstract

The invention relates to the technical field of test paper color analysis, in particular to a method for detecting sample substance concentration based on pushing direction identification of a urine drying test strip, which specifically comprises the following steps of: firstly, obtaining color block RGB (Red, Green and Blue) data by camera timing integration, and inputting the color block RGB data into a color calibration matrix to obtain a standard color and a calibration value; the method comprises the following steps: firstly, carrying out calibration on a to-be-detected item, then circularly searching whether the to-be-detected item still exists or not, if so, moving to a next detection color block, carrying out color integration with the same time length to obtain RGB data, then combining with a calibration value to obtain calibrated RGB data, entering an analysis module, firstly converting the RGB data into LAB spatial data, carrying out same-color system judgment, if in the same color system, calculating a Lab spatial Euclidean distance, and if in the same color system, calculating a Lab spatial Euclidean distance; if not, a color difference comparison algorithm is adopted for optimization, color difference comparison is carried out, and the color with the minimum color difference is selected; and then searching a corresponding sample concentration value as a detection result, and finally returning to the circulation until all items are detected and exiting the circulation.

Description

technical field [0001] The invention relates to the technical field of test paper color analysis, in particular to a method for detecting the concentration of a sample substance based on the recognition of the pushing direction of a urine-dried test paper. Background technique [0002] The technology of automatic identification and detection of sample substance concentration by urine drying test strips is the key technology to realize the automation and intelligence of urine detection, and it is also applicable to other reagent colorimetry and automatic identification of reagent cards, such as hydrogen peroxide of vaginitis five joint detection reagents , leukocyte lipase, β-galactosaminidase, sialidase, pH value and other items detection. [0003] At present, most urine drying test strips use artificial colorimetry or RGB colorimetry or reflective photoelectric colorimetry. Manual colorimetry has problems such as low efficiency, dependence on experience, inability to quanti...

AI Technical Summary

Problems solved by technology

[0003] At present, most urine drying test strips use artificial colorimetry or RGB colorimetry or reflective photoelectric colorimetry. Manual colorimetry has problems such as low efficiency, dependence on experience, inability to quantify, and easy fatigue. RGB colorimetry is due to the color RGB space The distance cannot represent the real color difference, and it is easily affected by the color brightness, resulting in complex algorithms, unstable results, and low reliability. Generally, reflective photoelectric colorimetry can only be applied to a few brands and specifications of dry chemical test strips. There are differences between different batches of urine-dried chemical test strips, which will cause large deviations in the test results. In addition, the instrument needs to be calibrated frequently. Once deviations are found, the technical personnel of the instrument manufacturer need to modify the hardware circuit parameters of the instrument or directly replace the optical accessories. , In addition, due to the differences between devices, when the standard database collected by one device is copied to another device as the standard database, the final detection result may be inaccurate due to the error between the devices

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