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Method and device for evaluating white blood cell image clarity

A technology of image sharpness and evaluation method, applied in image analysis, image enhancement, image data processing and other directions, can solve the problems of slow sharpness detection, image evaluation, and inaccurate evaluation of image sharpness, so as to achieve local Evaluate, evaluate in real time, avoid evaluation errors

Active Publication Date: 2019-04-16
JIANGSU KONSUNG BIOMEDICAL TECH
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Problems solved by technology

[0005] Purpose of the invention: In order to overcome the deficiencies of the prior art, the present invention provides a method and device for evaluating the clarity of white blood cell images, which solves the problems of slow detection speed of clarity, inaccurate evaluation of image clarity and inability to accurately evaluate local blur and blur degree. Problems with evaluating large images

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  • Method and device for evaluating white blood cell image clarity
  • Method and device for evaluating white blood cell image clarity
  • Method and device for evaluating white blood cell image clarity

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Embodiment Construction

[0064] In order to verify the feasibility and effectiveness of the present invention, the present invention has done a preliminary simulation and measurement experiment. The experimental blood sample comes from the laboratory department of the hospital. The white blood cell extraction and analysis are completed in the software Matlab2017a, the image size is 1920×1080, and the white blood cell magnification is 4 times; the statistical t-test analysis of the sample parameters is completed by SPSS21.0, such as figure 1 Shown, method described in the present invention comprises:

[0065] 101. Obtain the input original white blood cell image and convert it to a grayscale image. The original image can be recorded as f 0 , the grayscale image can be written as f gray ;

[0066] 102. Convert the grayscale image f gray performing block formation to form image blocks, and randomly extracting the image blocks to be analyzed;

[0067] Optionally, in an embodiment of the present invent...

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Abstract

The invention discloses a method for evaluating the clarity of white blood cell images. The method includes: acquiring an input original white blood cell image and converting it into a grayscale image; dividing the grayscale image into blocks to form image blocks, and randomly extracting the white blood cell image to be analyzed. Image block; perform denoising on the extracted image block to obtain a denoised image; realize cell area segmentation of the denoised image through the maximum inter-class variance method to obtain the optimal segmentation threshold; perform low-pass operation on the denoised image. The filtering operation obtains the degraded image; obtains the TenenGrad parameter of the denoised image and the degraded image corresponding to the denoised image, and calculates the clarity of the image block; wherein, the optimal segmentation threshold is used as a customization of the TenenGrad function Image threshold; calculate the average sharpness of all extracted image blocks, and analyze the samples to obtain the defocus degree threshold. By analyzing the sharpness parameters at different positions of the image, the present invention not only evaluates the overall sharpness of the image, but also achieves local assessment of the sharpness of the image.

Description

technical field [0001] The invention relates to a definition evaluation method and device, in particular to a white blood cell image definition evaluation method and device. Background technique [0002] Thanks to the rapid development of POCT, portable white blood cell counters have been extensively studied in recent years due to their advantages of speed and convenience. However, the accuracy of portable white blood cell counting equipment is not accurate enough. One of the main reasons affecting its accuracy is the image virtual focus: the detection starts when the cells to be tested are not completely adhered to the wall; improper placement of the reagent sheet will cause image virtual focus or partial virtual focus. Image defocus seriously affects the accuracy of subsequent white blood cell count and classification. Currently commonly used image sharpness judgment methods cannot evaluate the absolute quality under the sharpness standard completely independently of the...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T5/00G06T7/136
CPCG06T7/0012G06T7/136G06T2207/10056G06T2207/20021G06T2207/30004G06T5/92G06T5/70
Inventor 张雪项智
Owner JIANGSU KONSUNG BIOMEDICAL TECH
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