Separating and grouping method of adhesion conditions of main information of cells under contrast phase microscope for interframe-free reference information

Abstract

The invention provides a separating and grouping method of adhesion conditions of main information of cells under a contrast phase microscope for interframe-free reference information. The separating and grouping method of adhesion conditions of main information of cells under a contrast phase microscope for interframe-free reference information includes the following steps: 1) based on analysis of image characteristics of cells under a contrast phase microscope, defining the main information of the images of cells under the contrast phase microscope after constructing hierarchy information in the images; 2) manually marking the key information, referring to the original images and the main information during the marking process, and dividing the adhesion conditions of the main information of the cells into one area, thus being convenient for separately analyzing the conditions; 3) utilizing the separating and grouping method of adhesion conditions of the main information of cells under the contrast phase microscope for interframe-free reference information, separating and grouping the target adhesion conditions; and 4) updating the main information labels and the color marks in the images of the cells under the contrast phase microscope, and obtaining the main information after image restoration. The separating and grouping method of adhesion conditions of main information of cells under a contrast phase microscope for interframe-free reference information can effectively process detection and segmentation of the images of the cells under the contrast phase microscope.

Description

technical field [0001] The invention belongs to the technical field of medical image processing, and relates to a separation and grouping method suitable for the main information adhesion of phase contrast microscope cells without inter-frame reference information. Background technique [0002] Currently, in the field of phase contrast microscope cell detection and segmentation, it is usually assumed that the target area has the characteristics of internal consistency, that is, the gray scale, color or other features inside the target are evenly distributed. The method of threshold is mainly used to directly segment the target area, or the active contour model is used to obtain the closed area of ​​the target. The idea of ​​the general threshold correlation method is to directly adjust and obtain the optimal threshold, so that the target area can be obtained directly. The method of the active contour model is to increase the assumption that the target has a strong gradient ...

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the intractable shortcomings of the existing phase contrast microscope cell image detection and segmentation, the present invention provides a method for effectively processing the phase contrast microscope cell image detection and segmentation, which is suitable for the adhesion of the main information of the phase contrast microscope cells without inter-frame reference information. Separation and Grouping Methods

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