Image recognition and counting method for blood cells

A technology of image recognition and counting method, which is applied in the field of image recognition, can solve problems such as low work efficiency, high intensity, and easy fatigue, and achieve the effects of good accuracy, improved accuracy, and high efficiency

Inactive Publication Date: 2018-11-23
WUHAN LANDING INTELLIGENCE MEDICAL CO LTD
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Problems solved by technology

[0002] With the incidence of cancer increasing year by year, the diagnosis of cancer in hospitals is now mainly done by doctors manually identifying medical microscopic images, which require

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  • Image recognition and counting method for blood cells
  • Image recognition and counting method for blood cells
  • Image recognition and counting method for blood cells

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[0040] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0041] like figure 1 As shown, the image recognition and counting method of blood cells of the present invention includes the following steps:

[0042] S1, collect blood microscopic image samples.

[0043] S2, performing grayscale processing on the image. Specifically, a weighted average method is used to perform grayscale processing on the picture, that is, when R=G=B=0.3R+0.59G+0.11B, the most reasonable grayscale image is obtained.

[0044] S3, filtering ...

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Abstract

The invention provides an image recognition and counting method for blood cells. The method comprises: performing algorithm emulation by Matlab in view of the particularity of blood cell images, and performing cell recognition and counting; extracting cell characteristic parameters through morphological methods, and using the characteristic parameters as input parameters of BP neural network to perform cell recognition and finally perform cell counting; correcting the cell counting by using a colorimetric method to improve the accuracy of cell counting ; and realizing the recognition and automatic counting of cells with good accuracy and high efficiency by using a median filtering algorithm, a gray histogram algorithm, a threshold processing algorithm, and a corrosion and expansion algorithm.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to an image recognition and counting method for blood cells. Background technique [0002] With the incidence of cancer increasing year by year, the diagnosis of cancer in hospitals is now mainly done by doctors manually identifying medical microscopic images, which requires inspectors or doctors to have rich clinical experience, but such a diagnosis method has low work efficiency. It has many disadvantages such as high strength, easy fatigue and human error. Use image recognition to classify blood microscopic cell images, so as to assist doctors in analyzing and counting diseased microcells in blood, and obtain important information such as pathology, which is very helpful for medical staff in the diagnosis and treatment of blood diseases important clinical significance. Contents of the invention [0003] In view of this, the present invention proposes a method for image recogn...

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Application Information

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IPC IPC(8): G06T5/00G06T7/12G06T7/136G06T5/30G06K9/62G06N3/08
CPCG06N3/084G06T5/009G06T5/30G06T7/12G06T7/136G06T2207/30242G06T2207/20024G06T2207/10056G06F18/23213
Inventor 庞宝川孙小蓉汪键曹得华
Owner WUHAN LANDING INTELLIGENCE MEDICAL CO LTD
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