Cell tracking method based on correction by cellular partition combined with multi-frames and original image feedback

A feedback method, cell technology, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as weak processing ability, and achieve the effect of improving tracking effect, improving accuracy and reducing dependence.

Inactive Publication Date: 2014-08-06
HARBIN ENG UNIV
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Problems solved by technology

However, this tracking method is not capable of processing image regions containing sparse cells and special cells, and is highly dependent on the segmentation effect of cell images.

Method used

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  • Cell tracking method based on correction by cellular partition combined with multi-frames and original image feedback
  • Cell tracking method based on correction by cellular partition combined with multi-frames and original image feedback
  • Cell tracking method based on correction by cellular partition combined with multi-frames and original image feedback

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Embodiment Construction

[0050] The present invention mainly comprises:

[0051] 1. The specific steps of the multi-frame cellular division and the cell tracking method of the original image feedback method are:

[0052] (1) Cell segmentation: The sequential cell image segmentation method combining the level set algorithm and the local gray threshold method is used for segmentation, and then the cells after each frame of the image are labeled, and the cell ID number is initialized, the first frame of the sequence The cell label of the cell is defined as the ID number of the cell;

[0053] (2) Area overlap: mainly for tracking inert cells, providing an initial starting point for the follow-up topology constraint method;

[0054] (3) Cell division: Cell division is to divide each frame of the image sequence into N regular hexagonal honeycomb grids according to a unified standard. Each cell has its own information center (cellular), which stores the searched cell information in the area, and detects ne...

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Abstract

The invention provides a cell tracking method based on correction by cellular partition combined with multi-frames and original image feedback. The method comprises the following steps of: segmenting cell sequence images, tracking inert cells by a regional overlap method, carrying out cellular partition for each frame of image, and building a cellular information storage center; applying a topological constraint algorithm introducing a Delaunay triangulation network combined with a cellular region to match the cells, storing a cell matching result into a temporary-storage track, then identifying the types of the cells in the temporary-storage track, and correcting the classified cells by a multi-frames and original images feedback method; and finally, updating the cellular information storage center and the storage information of the inner parts of the cells, and outputting a result. The method uses the multi-frames feedback and original images feedback method to correct the matching result and segmentation faults, and therefore the accuracy rate of a cell tracking system is further increased and meanwhile the higher efficiency can be realized.

Description

technical field [0001] The invention relates to a cell movement analysis method, in particular to a cell tracking method which uses topology constraints combined with cellular area division, and uses multi-frame and original image feedback to correct the results. Background technique [0002] Cell movement analysis is usually to track target cells to obtain information such as cell movement speed, displacement, trajectory, etc., which is crucial in the research of cell behavior, drugs and diseases. When we track a target cell in detail and accurately, especially when tracking a large number of cells, we must try to avoid the interference of other cells. This is the difficulty of cell tracking, and it is also a research hotspot in cell tracking in recent years. [0003] At present, more mature advanced cell tracking algorithms include level set algorithm (level set), active contour method (active contour), mean shift method (Mean Shift) and topological constraint method, etc....

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/20G06T5/00
Inventor 汤春明宁燕博陈立伟崔颖廖艳萍
Owner HARBIN ENG UNIV
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