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

A type and blood type technology, applied in biological testing, material inspection products, etc., can solve problems such as lack of intelligent segmentation, deviation of target area from effective area, affecting the accuracy of detection results recognition, etc., to improve accuracy and reduce complexity. sexual effect

Active Publication Date: 2014-01-29
SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI
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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

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

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Embodiment Construction

[0043] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments.

[0044] refer to figure 1 As shown, a blood type result recognition algorithm based on grayscale analysis and type recognition includes the following steps:

[0045] Step 1) Grayscale transformation

[0046] The 24-bit true-color image of the blood type reagent card is grayscale transformed using the weighted average method, and the coordinates ( ) at the brightness values ​​of each component are , , , then the gray value of the point after the gray scale transformation ,

[0047] ,in, , , are the weights of each color component, that is, the converted grayscale image is obtained. In this example, =0.299, =0.587, =0.114 points The 24-bit true-color image of the blood type reagent card is converted into grayscale to obtain the converted grayscale image;

[0048] Step 2) smooth filtering

[0049] The grayscal...

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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...

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Application Information

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IPC IPC(8): G01N33/80
CPCG01N33/80
Inventor 罗刚银
Owner SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI
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