Cell image segmentation method and device, computer equipment and storage medium

An image segmentation and cell technology, applied in the field of image processing, can solve the problems of inaccurate image segmentation, large influence, and low accuracy of image segmentation

Active Publication Date: 2020-02-25
SHENZHEN TAILI BIOTECHNOLOGY CO LTD
View PDF4 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The traditional cell image segmentation is based on the threshold method. However, the threshold method is greatly affected by the threshold setting, which easily leads to inaccurate image segmentation and cannot handle cell adhesion.
[0004] Therefore, the traditional cell image segmentation method has the problem of low image segmentation accuracy.

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 segmentation method and device, computer equipment and storage medium
  • Cell image segmentation method and device, computer equipment and storage medium
  • Cell image segmentation method and device, computer equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0069] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0070] In one embodiment, such as figure 1 As shown, a cell image segmentation method is provided. The cell image segmentation method provided by this embodiment can be applied to such as figure 2 shown in the application environment. In this application environment, a user terminal 202 and a cell image segmentation server 204 are included. Among them, the user terminal 202 can be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers and portable wearable devices capable of obtaining high-magnification cell images, and 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 relates to a cell image segmentation method and device, computer equipment and a storage medium. The method comprises the following steps: reading a cell grayscale image; carrying out histogram equalization operation on the cell grayscale image to obtain an equalized image; performing morphological operation on the equalized image to obtain a morphological image, wherein the morphological operation comprises top cap operation and gradient operation; detecting cell edges in the morphological image through an edge detection algorithm to obtain a cell edge image; carrying out binarization processing on the cell edge image to obtain a binarized cell image; and carrying out cell segmentation according to the binarized cell image to obtain a cell segmentation image. By adopting themethod, the accuracy of cell image segmentation can be improved.

Description

technical field [0001] The present application relates to the field of image processing, in particular to a cell image segmentation method, device, computer equipment and storage medium. Background technique [0002] Screening of stable cell lines is of great significance in the field of biotechnology. The traditional screening method for stable cell lines is to detect the total amount of target protein secreted by cells into the medium, and to screen high-yielding cell lines according to protein expression. Through expression vector optimization and cell transformation, the screening efficiency can be improved and high single-cell production can be obtained. Stable production cell lines with high yield, but the above method has disadvantages such as complex operation and long time-consuming. With the development of artificial intelligence technology, people began to use high-power microscopes to take cell line images, and use methods such as deep learning to screen cell li...

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): G06T7/13G06T7/12G06T7/11G06T7/155G06T5/00G06T5/40G06T5/30
CPCG06T5/007G06T5/30G06T5/40G06T7/11G06T7/12G06T7/13G06T7/155G06T2207/20041G06T2207/20152
Inventor 陈亮韩晓健梁国龙薛勇
Owner SHENZHEN TAILI BIOTECHNOLOGY CO LTD
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