Method for leukocyte automatic identification based on relevant vector machine

A correlation vector machine and automatic recognition technology, which is applied in the field of medical image processing, can solve the problems of white blood cell contamination and difficulty in distinguishing microscopic images, and achieve the effect of ideal recognition effect, good robustness and high stability.

Inactive Publication Date: 2014-03-26
HOHAI UNIV
View PDF4 Cites 19 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 i

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
  • Method for leukocyte automatic identification based on relevant vector machine
  • Method for leukocyte automatic identification based on relevant vector machine
  • Method for leukocyte automatic identification based on relevant vector machine

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] Below in conjunction with accompanying drawing, the white blood cell automatic identification method based on correlation vector machine that the present invention proposes is described in detail:

[0033] Such as figure 1 Shown, the leukocyte automatic identification method based on correlation vector machine of the present invention, its steps are as follows

[0034] Step 101, collecting color blood microscopic image data;

[0035] Step 102, preprocessing the microscopic image data obtained in step 101;

[0036] Step 103, performing HLS color space conversion on the preprocessed image obtained in step 102, to obtain a tone image;

[0037] Step 104, for the tone image obtained in step 103, use a grayscale image segmentation method based on a correlation vector machine to segment white blood cells to obtain a rough segmented image;

[0038] Step 105, using FCNN to detect all white blood cell region images for the coarsely segmented image obtained in step 104;

[003...

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 a method for leukocyte automatic identification based on a relevant vector machine. According to the method, hue information of blood microscopic image characteristics is utilized and coarse segmentation of a hue image is accomplished according to a gray level image segmentation method based on the relevant vector machine; all leukocytes are detected with the assistance of an FCNN; a threshold value is determined through the clustering methodology and fine segmentation is conducted on a partial image containing one single leukocyte with the combination of the threshold value segmentation method and a binary morphology method; on the basis of the partial images obtained in the last step, the representative leukocyte characteristics are extracted, wherein the leukocyte characteristics comprise 47 characteristics in three types of forms, colors and textures; the leukocytes are identified and classified through the supported vector machine. The method has the advantages that the identification effect is ideal, stability is high and robustness is good. Valuable information is provided for diagnosis conducted by a doctor and quantitative analytical investigation is rapidly and accurately conducted on the cells.

Description

technical field [0001] The invention belongs to the technical field of medical image processing, and specifically refers to a white blood cell automatic recognition method based on a correlation vector machine. 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 re...

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): G06K9/60G06K9/46
Inventor 王敏
Owner HOHAI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap