Synechia cell image segmenting method based on polyphase mutual exclusion level set

Abstract

The invention discloses a synechia cell image segmenting method based on a polyphase mutual exclusion level set. The circle centers of all cells are acquired through carrying out Hough transformation circle detection to quasi-circle cells in a microscopical cell image; a small circle is automatically set according to the circle center of every cell; each small circle is taken as an initial curve; independent evolution is carried out to a synechia cell area under the effect of mutual exclusion energy according to the guidance of image gradient information and the mode of simultaneously evoluting multi-level functions; mutual exclusion among different closed curves can be ensured; therefore, the synechia cell image is segmented; the problem that the traditional segmenting method cannot segment synechia crowded cell group areas is solved; and the method of the invention is advantaged by that the processing steps are few, the segmented cell outlines are natural and the method is applicable for segmenting and counting the quasi-circle cell image, has high measurement precision and strong adaptive capacity.

Description

technical field [0001] The invention belongs to the technical field of medical image processing, and more specifically relates to a method for segmenting cohesive cell images based on multiple mutually exclusive level sets. Background technique [0002] In the computer-aided analysis of microscopic images of breast tissue sections, accurate segmentation is an important link, which involves the accuracy of cell counting and cell morphology analysis. The survey found that in the pathological analysis of microscopic images of breast tissue sections with the help of automatic detection equipment, if the cells are crowded or cohesive, the general image segmentation technology will often segment the two cohesive cells into one cell area, resulting in Errors occur in the counting of cells in the detection area. Therefore, for the cohesive cell groups, they are segmented and presented independently of each other, which has become a technical difficulty in cell microscopic image anal...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to solve the problem that it is difficult to segment the cohesive area of ​​the existing mammary gland slice image, and to improve the reliability of the automatic analysis results of the cell map, a method for cohesive cell image segmentation based on multiple mutually exclusive level sets is provided; the present invention Mainly for the mammary gland slice cell map with round-like cells, determine the center of all cells in the cell map through Hough circle detection, and set the initial curve of all cells by selecting the initial circle in the smallest cell, and use the level set energy functional The evolution of , so that the contour moves to the boundary of the cohesive cell, by setting the mutually exclusive energy item to ensure that the adjacent contour does not cross the boundary

Images