A detection method for automatic reagent card classification based on machine vision

Abstract

The invention discloses a detection method for automatic reagent card classification based on machine vision, and belongs to the field of image recognition. To solve the problem that Improper operation exists in manual operation; the dropping amount of the reagent card does not meet the possibility of requirements of the reagent card; the risk of inappropriate reagent card result interpretation time also exists; inspection personnel may generate subjective misjudgment; the excrement detection result cannot be standardized; and the manual detection speed is slow, which affects the work efficiency to a certain extent, and is not conducive to the effective development and promotion of applications and other shortcomings, the invention provides a detection method for automatic classification of the reagent cards based on machine vision, the detection result of the detection reagent cards can be calibrated in a timed mode, and the detection efficiency is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of machine vision, in particular to a detection method for automatic classification of reagent cards based on machine vision. Background technique [0002] Human fecal occult blood test, also known as fecal occult blood test, is an experiment used to detect whether red blood cells, hemoglobin, and transferrin are concealed in feces. The results of this test can be used as an important indicator for judging whether the human digestive tract is bleeding. Examining the early diagnosis of digestive tract malignant tumors provides screening indicators. Therefore, as the most routine testing item in the laboratory department, fecal occult blood testing has a wide range of applications. Due to the extremely high sensitivity of the fecal occult blood detection reagent card, there are strict requirements on the amount of dripping liquid and the interpretation time of the color development result of the card. Manual ...

AI Technical Summary

Problems solved by technology

[0003] In view of the possibility of improper manual operation, the drip volume of the reagent card does not meet the requirements of the reagent card, and the risk of inappropriate interpretation time of the reagent card results, the inspectors may make subjective misjudgments, resulting in the inability to standardize the stool test results. Moreover, the manual detection speed is relatively slow, which affects the work efficiency to a certain extent, and is not conducive to effective development and popularization and application. The present invention provides a detection method for automatic classification of reagent cards based on machine vision, which can regularly calibrate the detection reagent card detection results, greatly improving the detection efficiency

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