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Blood cell counting method based on image recognition

A blood cell and counting method technology, applied in the field of medical testing, can solve the problems of low recognition accuracy, inability to extract white blood cell images, inability to accurately identify, etc., and achieve the effect of eliminating uneven brightness

Pending Publication Date: 2019-09-10
深圳大森智能科技有限公司
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Problems solved by technology

[0003] The above method can only be used to detect white blood cells in leucorrhea, and can only extract white blood cell edge images (see steps 5 and 6 in the patent for details), and cannot extract real white blood cell images, and the recognition accuracy is not high; Inhomogeneous cases cannot be accurately identified

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  • Blood cell counting method based on image recognition

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Embodiment Construction

[0044] In order to make the purpose, content, and advantages of the present invention clearer, the specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0045] The uneven brightness of the image or other material gradient background will show the linear gradient feature of the region after being converted into a grayscale image. This regional gradient feature has little effect on the boundary detection and extraction of the target, but it has little effect on the complete extraction of the target. great influence. This method divides the image to be recognized into several small images according to the gradient of the image grayscale image for processing and recognition respectively, and then merges and synthesizes the processed small images, thereby eliminating uneven brightness and other material gradients The effect of background on recognition.

[0046] refer to ...

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Abstract

The invention discloses a blood cell counting method based on image recognition, and the method comprises the steps: obtaining an image, carrying out preprocessing, bilateral filtering, and edge detection; dividing the grey-scale image after bilateral filtering and the edge image after edge detection into a plurality of grey-scale small images and edge small images; scanning each small image; calculating the threshold value of each small image according to the maximum gray value and the minimum gray value of the edge point position; scanning each small image according to a threshold value, wherein the region higher than the threshold value is a blood cell image region; setting the pixel points higher than the threshold value as 255 and the rest as 0, outputting an edge image, detecting continuous areas in the edge image, rejecting overlarge or oversmall continuous areas according to the pixel size of the average value of the blood cell size on the current specification image, and counting the number of the remaining continuous areas, namely the total number of the identified blood cells.

Description

technical field [0001] The invention belongs to the technical field of medical detection, and relates to a blood cell counting method based on image recognition. Background technique [0002] Among the current blood cell detection methods, the most commonly used method is an automatic identification method for white blood cells in leucorrhea microscopic images with patent application number 201610676970.2. By grayscale processing the microscope images, and then looking for connected areas in the images, according to the white blood cell For the actual morphology, the connected regions in the image are sequentially screened, and finally the white blood cell image in the leucorrhea is identified. [0003] The above method can only be used to detect white blood cells in leucorrhea, and can only extract white blood cell edge images (see steps 5 and 6 in the patent for details), and cannot extract real white blood cell images, and the recognition accuracy is not high; Inhomogene...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/13G06T5/00
CPCG06T7/13G06T2207/30242G06T5/70
Inventor 林辉翁培垒行伟森郦会
Owner 深圳大森智能科技有限公司
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