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

Cell image recognition method and cell image recognition device

An image recognition device and image recognition technology, which are applied in the field of medical cell image processing, can solve the problems of inability to adapt to the data and the amount of data calculation is large, and achieve the effect of reducing the influence of cell image recognition, high standardization, and realizing operation and judgment.

Inactive Publication Date: 2015-08-19
GUANGXI NORMAL UNIV
View PDF2 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention aims to solve the problem in the prior art that the amount of data calculation is large and cannot be self-adapted

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
  • Cell image recognition method and cell image recognition device
  • Cell image recognition method and cell image recognition device
  • Cell image recognition method and cell image recognition device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] In order to understand the above-mentioned purpose, features and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0036] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways than described here. Therefore, the protection scope of the present invention is not limited by the specific implementation disclosed below. Example limitations.

[0037] Refer below Figure 1-7 The cell image recognition method proposed in the first aspect of the present invention is further described.

[0038] see figure 1 As shown, the principle schematic diagram of...

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 cell image recognition method and a cell image recognition device. In the cell image recognition method, cells are divided into to-be-tested cells and various kinds of training cells. The cell image recognition process comprises the following steps: S1, preprocessing a cell image, specifically including cell image gray processing, image denoising processing, image gray histogram equalization processing, and image segmentation processing; S2, using a compressed sensing technology to establish sparse coefficient representation on the preprocessed cell image; S3, recognizing cells, calculating difference value of linear weighting of the to-be-tested cells and each kind of training sample cells ri(y), and selecting the classification the training sample with the lowest difference value belongs to as the classification of a test sample. Through using the compressed sensing technology in cell recognition, operand is reduced, and the method and the device has self-adaptive capability, so influence of external factors is reduced, and cell image recognition precision and speed are improved.

Description

technical field [0001] The invention belongs to the field of medical cell image processing, and in particular relates to a cell image recognition method and a cell image recognition device. Background technique [0002] Cell image processing is an important branch in the field of medical imaging. Clinical cell diagnosis is by sampling the lesion of the human body and making cell smears. Physicians observe the characteristics of cells such as shape and texture under the microscope, and combine the knowledge of cell pathology. Early diagnosis and early warning of diseases. The current cell diagnosis mainly relies on the manual reading by doctors. Therefore, the accuracy and reliability of the diagnostic results are affected by the clinical experience, professional ability and subjective factors of doctors. The efficiency is low, and when the workload of film reading increases, the error of diagnosis will also increase. In order to improve the diagnostic technology of clinica...

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): G06K9/62
CPCG06V2201/04G06F18/2136G06F18/214
Inventor 陈锦罗晓曙
Owner GUANGXI NORMAL 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