Leukocyte detecting method aiming at bronchoalveolar lavage smear

A detection method and white blood cell technology, applied in trocars, image data processing, instruments, etc., can solve the problems of bronchoalveolar lavage smears with many impurities, affecting detection results, and complex background conditions, and achieve low cost and high detection efficiency High, easy-to-operate effect

Active Publication Date: 2014-11-19
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

At this stage, for the white blood cells in the blood, the method of calculating the average gradient value, then performing edge extraction and threshold segmentation is generally used to detect the white blood cells in the blood. There are many impurities in the smear, and the background conditions are complex, so it is easy to be interfered by impurities or other cells and affect the detection effect

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  • Leukocyte detecting method aiming at bronchoalveolar lavage smear
  • Leukocyte detecting method aiming at bronchoalveolar lavage smear

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Embodiment Construction

[0048] Below in conjunction with accompanying drawing, the automatic detection process of leukocyte in a kind of bronchoalveolar lavage smear of the present invention is described in detail:

[0049] Step 1: Use a microscope to collect microscopic images of the bronchoalveolar lavage smear;

[0050] Step 2: Grayscale the image in step 1 and convert it into a grayscale image;

[0051] Step 3: convert the grayscale image in step 2 into a binarized image;

[0052] Step 3-1: Set the gray threshold in the binarization process to be the gray threshold obtained by using the maximum inter-class variance method for the gray image;

[0053] Step 3-2: Compare the grayscale value of each pixel in the grayscale image with the grayscale threshold. If it is greater than the grayscale threshold, the grayscale of this point is set to 0. If it is smaller than the grayscale threshold, the grayscale of this point is set to 0. The degree is set to 255 to obtain a binary image;

[0054] Step 4: ...

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Abstract

The invention discloses a leukocyte detecting method aiming at a bronchoalveolar lavage smear, and relates to an automatic detecting method aiming at leukocytes in the bronchoalveolar lavage smear, in particular to an automatic detecting method for leukocytes in the bronchoalveolar lavage smear on the basis of a digital image processing technique. According to the method, a bronchoalveolar lavage smear microscopic image collected by a microscope is subjected to graying and binarization processing, screening is performed by utilizing the profile features and internal features of leukocytes, and leukocytes are identified finally. Therefore, the method has the effects that the operation is simple and convenient, the detecting efficiency is high, the precision is high, the omission ratio and false-detection ratio are low, and the cost is low.

Description

technical field [0001] The invention relates to an automatic detection method for white blood cells in bronchoalveolar lavage smears, in particular to an automatic detection method for white blood cells in bronchoalveolar lavage smears based on digital image processing technology. Background technique [0002] A digital image refers to a digitized image obtained through a digital imaging device, and the digital image has the characteristics of high resolution and high grayscale value. Digital image processing is to use computers to extract noise, enhance, restore, segment, extract features and other processing methods and technologies on images to obtain the image processing process required by human vision or a certain receiving system. The automatic detection of white blood cells is to use digital image processing technology to analyze and locate the position of white blood cells in the microscope, and count the characteristics of the number of white blood cells in the fie...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/60A61B10/02
Inventor 刘娟秀王强谢煜张静刘霖杨先明雷皓婷袁阳叶玉堂刘永
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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