Blood type result recognition algorithm based on grey level analysis and type recognition

Abstract

The invention discloses a blood type result recognition algorithm based on grey level analysis and type recognition. The blood type result recognition algorithm comprises the following steps: grey level transformation, smooth filtering, slope correction, microcolumn small tube division, threshold processing, grey level analysis, type recognition and detection result comparison. The blood type result recognition algorithm adopts a method combining the grey level analysis and the type recognition to automatically recognize a blood type detection result so that the efficiency of recognizing the blood type detection result is improved; the blood type result recognition algorithm has the advantages of rapidness and accuracy; meanwhile, the effectiveness of the result recognition is improved by operations including shake elimination, the slope correction, the microcolumn small tube division, the type recognition and the like.

Description

technical field [0001] The invention relates to the field of blood type detection result recognition, in particular to a blood type result recognition algorithm based on grayscale analysis and type recognition. Background technique [0002] Blood type detection techniques can be divided into slide method, test tube method, microplate method and blood type reagent card method. The blood type reagent card method is currently the most advanced blood type detection technology recommended by the International Health Organization. The glass slide method and the test tube method are earlier blood type analysis techniques, which have the advantage of simple detection conditions, but the process of adding samples is often done manually, and the judgment of the reaction results is usually judged by human eyes, and the degree of automation is not high. The interference of human factors is relatively serious, and the judgment of the results is strongly influenced by people's subjectiv...

AI Technical Summary

Problems solved by technology

However, when foreign instruments interpret the test results of blood type reagent cards, they often assume that the images of the collected blood type reagent cards are correct and clear, and do not eliminate the vibration of the blood type reagent cards and correct the tilt; at the same time, the blood type images During the analysis, only the fixed area on the blood type reagent card is scanned, but the effective area (ie microcolumn tubule) for identifying the blood type result is not intelligently segmented

Both of these problems will lead to the deviation of the analyzed target area from the effective area, thus affecting the accuracy of detection result recognition

At the same time, an additional barcode gun is used to identify the type of the reagent card, but the type cannot be identified through the color and character information of the nameplate. The defect is that the complexity of the instrument and the operation steps of the detection are increased.

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