Image processing-based erythrocyte and leukocyte classification counting method, system and device

A red and white blood cell, classification and counting technology, applied in the field of medical testing, can solve the problems of human error and high cost of testing equipment, and achieve the effect of ensuring accuracy, activity and purity, and reducing costs

Inactive Publication Date: 2019-08-09
湖南开启时代智能科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a red and white blood cell classification and counting method and system based on image processing, which are used to overcome the defects of high detection equipment cost and human error caused by manual operation in the prior art, so as to reduce equipment cost, improve detection efficiency and Accuracy

Method used

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  • Image processing-based erythrocyte and leukocyte classification counting method, system and device
  • Image processing-based erythrocyte and leukocyte classification counting method, system and device
  • Image processing-based erythrocyte and leukocyte classification counting method, system and device

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Embodiment 1

[0033] Such as figure 1 As shown, the present invention provides a method for differential counting of red and white blood cells based on image processing, including:

[0034] Step S1, put the blood sample under the microscope to enlarge, and then take pictures with the camera device, and send the captured images to the processor;

[0035] The processor performs the following operations:

[0036] Step 2, after the grayscale processing of the collected sample image, adaptive binarization processing is performed to obtain a black and white binary image of 0 and 1;

[0037] There are two steps here. The first step is to grayscale the color image, which is to set the grayscale of the points on the image between 0 and 255; the second step is to binary the grayscale image. The whole image presents an obvious black-and-white effect, which is to set the gray value of the point on the image to 0 or 1, the pixel value of 0 means black, and the point with a pixel value of 1 means white...

Embodiment 2

[0082]Corresponding to the first embodiment above, an embodiment of the present invention provides a system for differential counting of red and white blood cells based on image processing, including a processor and a memory, and the memory stores a program for differential counting of red and white blood cells based on image processing. When the computer runs the image processing-based red and white blood cell differential counting program, it executes the steps of the above-mentioned image processing-based red and white blood cell differential counting method.

Embodiment 3

[0084] Corresponding to the second embodiment above, the embodiment of the present invention provides a red and white blood cell classification and counting device based on image processing, including a microscope camera, a display module, and the red and white blood cell classification and counting system based on image processing in any embodiment;

[0085] Microscope camera, which magnifies and photographs the blood sample to form a photographed image;

[0086] The red and white blood cell classification and counting system collects the captured images, processes and calculates the images, and obtains the respective statistics of red blood cells and white blood cells;

[0087] The display module is used to display the respective numbers of red blood cells and white blood cells.

[0088] The present invention proposes a red and white blood cell classification and counting device based on image processing, which directly uses a camera microscope to collect cells without using...

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Abstract

The invention discloses an image processing-based erythrocyte and leukocyte classification counting method, system and device, and the method comprises the steps of carrying out the graying processingon an acquired sample image, then carrying out the binarization processing, and obtaining a black-white binary image; preprocessing the black and white binary image to restore the cells with holes inside, and removing the fragment cells and boundary cells; adopting a segmentation algorithm to segment the cell populations adhering to clusters in the preprocessed image; extracting the cell contoursand counting the cell contours to obtain the number of integral cells; dividing the whole cell into the erythrocytes and the leukocytes according to the area of a region occupied by a single cell inthe image; and respectively counting to obtain the number of the erythrocytes and the number of the leukocytes, so that the problems of high detection equipment cost, personal errors and the like in the prior art are solved, the equipment cost is reduced, and the detection efficiency and the detection accuracy are improved.

Description

technical field [0001] The invention relates to the technical field of medical detection, in particular to a red and white blood cell classification and counting method, system and equipment based on image processing. Background technique [0002] With the improvement of medical test preparation, the precision requirements for medical test preparation are getting higher and higher, and it also involves the precision of a kind of cell preparation. Among them, in the process of cell preparation, the precision requirements for automatic red and white blood cell counting and classification are also getting higher and higher. So far, traditional cell counting methods are mainly based on electrical impedance method and light scattering method. The electrical impedance method determines the type and number of cells according to the pulse amplitude intensity generated by different cells. The cost of the instrument is high, the maintenance cost is the highest, and there are few type...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06T5/30G06T7/00G06T7/11G06T7/13G06T7/136G06T7/62
CPCG06T7/0012G06T7/11G06T7/136G06T7/13G06T5/30G06T7/62G06T2207/10056G06T2207/20192G06T2207/30004G06T2207/30242G06V20/695G06V20/698G06F18/24
Inventor 刘琴张锴宋志兵
Owner 湖南开启时代智能科技有限公司
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