An automatic identification method for physiological indexes of urinalysis test paper

A technology of urine test strips and physiological indicators, applied in the field of image processing, can solve the problems of expensive urine analyzers, waste of time, and low recognition accuracy, and achieve the effect of eliminating light interference and avoiding low accuracy of colorimetry

Pending Publication Date: 2019-05-24
上海营阅企业管理服务中心(有限合伙)
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Problems solved by technology

However, although urine analyzers can accurately measure various physiological indicators of urine, most urine analyzers are too expensive for individuals, and frequently queuing up for inspections at medical in

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  • An automatic identification method for physiological indexes of urinalysis test paper
  • An automatic identification method for physiological indexes of urinalysis test paper
  • An automatic identification method for physiological indexes of urinalysis test paper

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Embodiment Construction

[0060] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0061] like figure 1 to to Figure 5 , a method for automatic identification of physiological indicators of urine test paper, comprising the steps of:

[0062] Step (1) Obtain the urine test paper image uploaded by the user, including the test paper sample and the background card after the test. The urine test paper image contains various items to be tested, and performs image enhancement processing on the urine test paper image. The image enhancement process includes grayscale in turn. processing, filtering, color smoothing;

[0063] Step (2) performing image enhancement processing on the acquired urine test paper;

[0...

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Abstract

The invention discloses an automatic identification method for physiological indexes of urinalysis test paper. The method is characterized by comprising the following steps: (1) acquiring an urinalysis test paper image uploaded by a user; (2) carrying out image enhancement processing on the obtained urinalysis test paper; (3) carrying out adaptive threshold segmentation on the enhanced picture toobtain each to-be-tested item: indicating the position of each color block on the urinalysis test paper; (4) different mobile phone camera parameters are different; (5) training a BP neural network for each test item, and inputting the color blocks subjected to color difference correction in the step (4) into the corresponding BP neural networks to obtain categories corresponding to the color blocks; and (6) comparing the standard colorimetric cards according to the categories corresponding to the color blocks to obtain corresponding physiological indexes. The identification method is simple and accurate. The problems of illumination interference and low human eye colorimetric accuracy are avoided, and the identification method can be used for early diagnosis and follow-up visit of chronicdiseases such as chronic nephrotic patients, diabetic patients and hypertension patients and early screening of healthy people.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for automatic recognition of physiological indicators of urine test paper. Background technique [0002] Urine routine is one of the "three routine" items of medical examination, and urine routine index is one of the basic indicators to reflect the health status of the body. Urine routine examination usually includes urine color, transparency, pH, red blood cells, white blood cells, protein, specific gravity, and qualitative urine sugar. Among them, high protein content in the detection indicators is often related to chronic nephritis; low urine specific gravity is often related to chronic nephritis and diabetes insipidus; positive urine sugar is often related to renal diabetes, diabetes and hyperthyroidism. Many patients with chronic kidney disease and early diabetes can be screened out through routine urine testing. Currently in hospitals, most urine routine...

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Application Information

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IPC IPC(8): G06K9/62G06N3/08G06T5/00G06T5/30G16H30/00
Inventor 张苏华黄钢
Owner 上海营阅企业管理服务中心(有限合伙)
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