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

Nu-support vector machine-based white cell classification method

A support vector machine and white blood cell classification technology, which is applied in image analysis, computer parts, image data processing, etc., can solve the problems of white blood cell stain pollution and difficult distinction in microscopic images, and achieve ideal recognition effect, good robustness, Highly stable effect

Inactive Publication Date: 2018-02-23
HOHAI UNIV
View PDF3 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Sometimes leukocytes in micrographs may be contaminated with stains due to poor handling
Coupled with the inconsistency of lighting, staining and other factors, it becomes more difficult to distinguish each other.

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
  • Nu-support vector machine-based white cell classification method
  • Nu-support vector machine-based white cell classification method
  • Nu-support vector machine-based white cell classification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0028] Such as figure 1 Shown, the white blood cell classification method based on nu-support vector machine of the present invention, its steps are as follows:

[0029] Step 101, collecting color blood microscopic image data;

[0030] Step 102, preprocessing the microscopic input image data obtained in step 101;

[0031] Step 103, performing HLS color space conversion on the preprocessed image obtained in step 102, to obtain a tone image;

[0032] Step 104, for the tone image obtained in step ...

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 discloses a nu-support vector machine-based white cell classification method. The method comprises the steps of firstly preprocessing a color blood microscopic image by adopting a medianfiltering method; secondly mapping an initial color space to an HLS color space, thereby obtaining a hue image after conversion; thirdly performing coarse segmentation on the hue image by using a nu-support vector machine-based grayscale image segmentation method, and detecting out all white cells by adopting a layer screening policy and a mathematical morphology method; fourthly performing finesegmentation on each white cell image, namely finishing separation of cell nuclei, cytoplasm and a background, and extracting most representative 47 features for each white cell, the cell nuclei and the cytoplasm; and finally finishing white cell classification by virtue of a nu-support vector machine. The usage performance of a whole white cell automatic identification and counting system can beremarkably improved.

Description

technical field [0001] The invention relates to a leukocyte classification method based on a nu-support vector machine, belonging to the technical field of medical image processing. Background technique [0002] By examining the changes in the number and shape of various types of white blood cells in the blood, it can often provide valuable information for doctors to diagnose and help diagnose some diseases. The emergence of new medical branches such as quantitative cytology, molecular biology, and cellular immunology has made the requirement for rapid and accurate quantitative analysis of cells more urgent. However, it is time-consuming and labor-intensive for experts to inspect with the naked eye through a microscope, and the workload is very heavy, and the recognition error is greatly affected by subjective factors such as the experience and fatigue of the experts. With the rapid development of computer image processing technology, pattern recognition and neural network,...

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): G06T7/00G06T7/136G06T7/90G06K9/46G06K9/38G06K9/62
CPCG06T7/0012G06T7/136G06T7/90G06T2207/20084G06V10/28G06V10/443G06V10/56G06F18/2411
Inventor 王敏
Owner HOHAI UNIV
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