Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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 requires inspectors or doctors to have rich clinical experience, but such a diagnosis method has low work efficiency. There are many shortcomings such as high strength, easy fatigue and human error

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image recognition and counting method for blood cells
  • Image recognition and counting method for blood cells
  • Image recognition and counting method for blood cells

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the implementation manners in the present invention, all other implementation manners obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0041] Such as figure 1 As shown, the image recognition and counting method of blood cells of the present invention comprises the following steps,

[0042] S1, collecting blood microscopic image samples.

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

[0044] S3, performing...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06T5/00G06T7/12G06T7/136G06T5/30G06K9/62G06N3/08
CPCG06N3/084G06T5/30G06T7/12G06T7/136G06T2207/30242G06T2207/20024G06T2207/10056G06F18/23213G06T5/92
Inventor 庞宝川孙小蓉汪键曹得华
Owner WUHAN LANDING INTELLIGENCE MEDICAL CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com