Unlock instant, AI-driven research and patent intelligence for your innovation.

Bacillus recognition method and device for fluorescence microscopic image, and terminal device

A microscopic image and recognition method technology, applied in the field of image recognition, can solve the problems of inconvenient detection, poor practicability and applicability of the recognition method, etc., and achieve high accuracy, easy update and maintenance, strong ease of use and practicability Effect

Inactive Publication Date: 2019-10-22
SHENZHEN SMART IMAGING HEALTHCARE
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a bacillus identification method, device and terminal equipment of fluorescent microscopic images to solve the problems of practicability and poor applicability of the identification method in the prior art and the problem of different specimens. There are many inconvenient problems in the process of repeated testing

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
  • Bacillus recognition method and device for fluorescence microscopic image, and terminal device
  • Bacillus recognition method and device for fluorescence microscopic image, and terminal device
  • Bacillus recognition method and device for fluorescence microscopic image, and terminal device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] see figure 1 , is a schematic diagram of the implementation flow of the bacillus recognition method for fluorescent microscopic images provided by an embodiment of the present invention, the recognition method is applied to the identification of acid-resistant Mycobacterium tuberculosis on the basis of fluorescent microscopic images; During the identification process of bright spots, it is necessary to carry out preliminary screening of bright spots, and first screen out bright spots that are too large or too small to meet the size of bacilli, and keep bacilli and impurities within a certain threshold range; and then according to the design According to the parameters of the specified impurity type, the bright spots are further matched and screened, the bright spots belonging to the impurity type are identified, and the bright spots that match the characteristics of the impurity type are deleted; the remaining bright spots that do not match the characteristics of the imp...

Embodiment 2

[0082] see image 3 , is a schematic diagram of the bacillus recognition device for the fluorescent microscopic image provided by the embodiment of the present invention. For the convenience of description, only the parts related to the embodiment of the present invention are shown.

[0083] The bacillus recognition device of the fluorescent microscopic image includes:

[0084] An image acquisition module 31, configured to acquire a fluorescent microscopic image of a sputum smear sample;

[0085] A data extraction module 32, configured to acquire bright spots in the fluorescence microscopic image, and extract characteristic parameters of the bright spots;

[0086] A feature matching module 33, configured to perform feature matching on the bright spot and the impurity type according to the range of the feature parameter and the preset impurity type parameter;

[0087] The screening module 34 is configured to obtain a feature matching result, screen out bright spots that success...

Embodiment 3

[0097] Figure 4 It is a schematic diagram of a terminal device provided by an embodiment of the present invention. Such as Figure 4 As shown, the terminal device 4 of this embodiment includes: a processor 40 , a memory 41 and a computer program 42 stored in the memory 41 and operable on the processor 40 . When the processor 40 executes the computer program 42, the steps in the embodiment of the bacillus identification method for each fluorescent microscopic image above are realized, for example figure 1 Steps 101 to 104 are shown. Alternatively, when the processor 40 executes the computer program 42, it realizes the functions of the modules / units in the above-mentioned device embodiments, for example image 3 The functions of modules 31 to 34 are shown.

[0098] Exemplarily, the computer program 42 can be divided into one or more modules / units, and the one or more modules / units are stored in the memory 41 and executed by the processor 40 to complete this invention. The...

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 is applicable to the technical field of image recognition, and provides a bacillus recognition method and device for a fluorescence microscopic image and a terminal device. The recognition method comprises: acquiring the fluorescence microscopic image of a sputum smear sample; acquiring bright spots in the fluorescence microscopic image, and extracting characteristic parameters of the bright spots; according to the range of the characteristic parameters and preset impurity type parameters, carrying out characteristic matching on the bright spots and the impurity types; and obtaining a feature matching result, screening out the bright spots successfully matched with the impurity type, and taking the bright spots not matched with the impurity type as bacilli. According to the method, more forms of bacilli can be identified, more forms of impurities can also be identified, various impurities can be eliminated, and high accuracy and work efficiency can be ensured.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and in particular relates to a bacillus recognition method, device and terminal equipment of fluorescent microscopic images. Background technique [0002] With the rapid development of medical technology, the requirements for pathological diagnostic technology are getting higher and higher, and the detection technology of Mycobacterium tuberculosis is also in urgent need of further development. Rapid and efficient detection of Mycobacterium tuberculosis is of great significance to patients and the medical community. The presence of acid-fast bacilli on sputum smear samples usually indicates the detection of active tuberculosis, and the identification and technique of acid-fast bacilli is laborious. [0003] Fluorescence microscopy images are for fluorescent stained smear samples, which can emit fluorescent images under the irradiation of ultraviolet light sources. According to the prin...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/00G06K9/62
CPCG06T7/0012G06T2207/10056G06T2207/10064G06T2207/30004G06V20/698G06V10/751G06F18/241
Inventor 刘旋权申文刘远明李宏军
Owner SHENZHEN SMART IMAGING HEALTHCARE