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Feature extraction method and device of blood type card image and blood type interpretation system

A feature extraction and blood type card technology, applied in the field of image processing, can solve problems such as difficulty and achieve the effect of improving accuracy

Inactive Publication Date: 2022-04-12
CHANGSHU INSTITUTE OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, due to the diversity of red blood cell responses, feature extraction is very difficult, and it is not possible to consider only one feature, and it needs multiple extractions to help the analysis of blood group images

Method used

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  • Feature extraction method and device of blood type card image and blood type interpretation system
  • Feature extraction method and device of blood type card image and blood type interpretation system
  • Feature extraction method and device of blood type card image and blood type interpretation system

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Experimental program
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Embodiment 1

[0066] Such as figure 1 Shown, a kind of feature extraction method of blood type card image, comprises the following steps:

[0067] S01: Acquire the image of the microcolumn tubule;

[0068] S02: Separating the image of the microcolumn tubule into red, green and blue channel images, and then merging the color channels to extract the color region that reflects red blood cells;

[0069] S03: Use the method of information entropy to count the total expected value of the gray value, and distinguish between agglutination and dissociation of red blood cells by counting the total expected value of the gray value.

[0070] The feature extraction method of the present invention is to perform preliminary feature extraction on the micro-column gel detection card used in the blood type automatic interpretation system, and then further extract features by the feature generator of the deep neural network, so that subsequent image analysis can be performed in the automatic blood type analy...

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Abstract

The invention belongs to the technical field of image processing, and discloses a blood type card image feature extraction method, which comprises the following steps: acquiring a microcolumn tubule image; separating the microcolumn tubule image into a red channel image, a green channel image and a blue channel image, merging color channels, and extracting a color region reflecting red blood cells; and counting the total expected value of the gray values by adopting an information entropy method, and distinguishing erythrocyte agglutination or dissociation by counting the total expected value of the gray values. Color features and gray features are comprehensively extracted, a novel feature extraction algorithm is provided, and the image analysis efficiency and interpretation accuracy of a blood type interpretation system are greatly improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a feature extraction method and device of a blood type card image and a blood type interpretation system. Background technique [0002] The blood type automatic interpretation system is a system that reflects the red blood cell agglutination result in the image of the blood type card after the identification and interpretation test in the automatic blood type analyzer. The automatic blood type interpretation system based on machine vision can alleviate the limitations of manual interpretation and greatly improve the efficiency of interpretation. At the same time, the automatic blood type interpretation system based on machine vision can also be widely used in blood type identification, blood transfusion and antibody screening and other fields. In the field of clinical testing, blood type testing is a necessary testing item for blood transfusion, and its clin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/69G06V10/56G06V10/82G06N3/04G01N33/80
Inventor 朱培逸沈然鑫吴杰温嘉懿
Owner CHANGSHU INSTITUTE OF TECHNOLOGY
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