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PSO based multi-cell position outline synchronous accurate tracking system

A tracking system and multi-cell technology, applied in the field of multi-cell position and contour synchronization and precise tracking system, can solve problems such as over-segmentation

Active Publication Date: 2014-09-24
HUAWEI TEHCHNOLOGIES CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The threshold method cannot segment the cells that are in contact with each other, and the watershed transform provides an effective solution to the contact problem, but its disadvantage is that it will cause over-segmentation due to noise and its tendency

Method used

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  • PSO based multi-cell position outline synchronous accurate tracking system
  • PSO based multi-cell position outline synchronous accurate tracking system
  • PSO based multi-cell position outline synchronous accurate tracking system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] Example 1 Tracking of Existing Cells

[0047] Such as image 3 As shown in (a), there are 4 cells in the previous frame. In the current frame, these cells need to be tracked sequentially according to the cell saliency index. First, use the PSO-based tracking module. The steps are:

[0048] 1) Initialization of particle swarm: It is known that there are M cells in frame t-1 in Indicates cell K t-1 (k) the state (centroid and contour) in frame t-1, for the cell K in which the saliency index (discussed in the contour module) is largest t-1 (k), initialize a population size to N T particle swarm Particle state is x i , K t - 1 ( k ) t = [ x i ...

Embodiment 2

[0065] Example 2 Tracking of Emerging Cells

[0066] For the tracking of emerging cells in the current frame, it is realized by the PSO-based discovery module and the PSO-based contour module. The steps of the PSO-based discovery module are:

[0067] 1) Initialization of particle swarm: initialize a population size N in the t-th frame image D particle swarm Particle state is The particles are randomly distributed in the image Y t In , the initial velocity of the particles is random and distributed in j=1,...,4, the initial distribution of the particle swarm is as follows Figure 4 (a) shown.

[0068] 2) The fitness function of the PSO-based discovery module: f D ( x i D , n ) = ϵ ifA ...

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Abstract

The invention provides a particle swarm optimization based multi-cell position and outline synchronous accurate tracking system which comprises three main modules including a PSO based tracking module, a PSO based discovery module and a PSO based outline module. For existing-cell tracking, the PSO based tracking module obtains an initial state of a cell in a current frame on the basis of an existing-cell prior state, then calculates a cell outline through the PSO based outline module and meanwhile achieves accurate tracking by utilizing the iterative mass center updating process. For newly-emerging cell tracking, the PSO based discovery module discovers the position of a new cell in a whole image through appropriate particle swarm initialization and searching mechanism and further obtains the cell outline.

Description

technical field [0001] The invention provides a PSO-based multi-cell position and contour synchronous precise tracking system, which belongs to the field of cell tracking. Background technique [0002] Cell is the basic unit of life activities and the main performer of many biological processes. For the embryonic development, evolution and life maintenance of any organic life, cell proliferation, differentiation and migration are essential links. Therefore, research on the analysis of cell behavior is very valuable in many fields, including stem cell research, tissue engineering, drug development, genetics and proteomics, etc. For example, in the early stage of inflammation, leukocytes will roll on the inner surface of postcapillary venules, and the rolling speed can reflect the intensity of the inflammatory response. Uncovering the cellular mechanisms in these processes will help the understanding of inflammatory mechanisms and the development of inflammatory therapeutic dr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20
Inventor 徐本连任亚运朱培逸鲁明丽施健蒋冬梅
Owner HUAWEI TEHCHNOLOGIES CO LTD
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