An Automatic Cell Counting Method Based on Dynamic Learning for Microscope

A dynamic learning and automatic counting technology, applied in the field of image processing, can solve problems such as learning underfitting, slow program operation, overfitting, etc., to achieve the effect of ensuring counting accuracy and improving efficiency
CN110516584BActive Publication Date: 2021-10-08杭州图谱光电科技有限公司
8 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
杭州图谱光电科技有限公司
Publication Date
2021-10-08

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses an automatic cell counting method based on dynamic learning for microscopes. By learning the mapping relationship between pixel-level features of cells and distribution functions, new cell image distribution results at the pixel level are obtained. In the present invention, firstly, the cells and the background of the image to be recognized are marked manually, each cell is represented by a point, and a marked area centered on the point is obtained. Then construct a density function, act on the marked area of ​​each cell, and get the corresponding density matrix centered on the marked point. The size of each element value in the density matrix represents the density distribution of cells in pixels, and the total number of cells is obtained by summing the elements of the entire matrix. By building a model and learning the relationship between the feature vector of each pixel in the original image and the corresponding element value in the density matrix, the mapping from feature to density can be determined. Therefore, the estimation result of cell number can be obtained from this mapping relationship.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the technical field of image processing, in particular to an automatic cell counting method based on dynamic learning for a microscope. Background technique

[0002] At present, the world's scientific research technology is becoming more and more developed, and the research and utilization of microorganisms has gradually become feasible and important. In the study of microorganisms, it is often necessary to count the number of cells. It is a time-consuming and laborious work to identify cells and count the number only by naked eyes, which greatly reduces the research efficiency.

[0003] Most of the traditional cell counting methods rely on the means of cell detection to locate and count individual cells. In addition, industrial cameras are also used instead of traditional microscope eyepieces to magnify and image the cells in the culture dish, and then use image processing to count the number of cells in the imaging area. ...

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