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Multi-cell automatic tracking method based on multi-Bernoullie filter with label

An automatic tracking and labeling technology, which is applied in the field of cell tracking, can solve the problems of time-varying, cell neighbors, and the number of cells with different dynamic characteristics of multi-cells.

Active Publication Date: 2016-11-09
JIANGSU SAIKANG MEDICAL EQUIP
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Problems solved by technology

[0008] The present invention aims to solve the problem of multi-cell tracking in low-contrast medical image sequences, that is, the dynamic characteristics of multi-cells are different, the number of cells is time-varying, and the number of cells is close to each other. Under the premise of training samples, the multi-cell tracking problem can be solved by predicting and updating the multi-Bernoulli filter with labels

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  • Multi-cell automatic tracking method based on multi-Bernoullie filter with label
  • Multi-cell automatic tracking method based on multi-Bernoullie filter with label
  • Multi-cell automatic tracking method based on multi-Bernoullie filter with label

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Embodiment Construction

[0050] figure 1 It is a structural diagram of the present invention. Such as figure 1 shown, for figure 2 and image 3 The original cell (T cell) image sequence of each frame of the original image, first use the weight and cell probability density of the cell set in the previous frame and the newly discovered cell set in the current frame to obtain the predicted cell set in the current frame and the prediction of cells in the cell set Probability density and cell set weight, and then update the posterior probability density and cell set weight of the cells in the cell set through similarity calculation, and finally complete the cell tracking output without association. The specific steps are:

[0051] 1) Initialization of the cell set: Before cell tracking is performed on each frame of image, according to prior knowledge, the image is divided into blocks in the area where cells may appear in the image, and the existence probability and probability of new cells are initial...

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Abstract

The invention provides a multi-cell automatic tracking method based on a multi-Bernoullie filter with a label, which comprises a step of cell set initialization by the multi-Bernoullie filter with the label, a step of prediction by the multi-Bernoullie filter with the label and a step of updating by the multi-Bernoullie filter with the label. Cell set initialization adopts the k shortest path, a new cell set is generated according to the newly-appearing cell detection probability, weights and cell probability densities of the former-frame cell set and the newly-detected cell set are used, a predicted cell set in the current frame, the cell predicted probability density in the cell set and the cell set weight are acquired, the posterior probability density of the cells in the cell set and the weight of the cell set are calculated and updated through similarities, and cell tracking can be completed with no need of relevance.

Description

technical field [0001] The invention provides a multi-cell automatic tracking method based on a labeled multi-Bernoulli filter, which belongs to the field of cell tracking. Background technique [0002] Cells are the basic building blocks of organisms. The existence and evolution of any organic life are inseparable from the activities of its own cells. Therefore, research on the analysis of cell behavior is very valuable in many fields, such as drug development, gene research, etc. The traditional analysis method of cell movement is realized by manual observation by professionals. When processing a large number of cell images, this process is very boring and time-consuming, and it is easy to introduce artificial bias, resulting in the loss of important information. Therefore, it is of great significance to develop an accurate method to track cells automatically. In the past few decades, with the rapid development of statistics, data processing and computer vision technique...

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Application Information

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IPC IPC(8): G06T7/20
CPCG06T2207/20021G06T2207/30024
Inventor 施健徐本连朱培逸鲁明丽
Owner JIANGSU SAIKANG MEDICAL EQUIP
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