Method for segmenting adhesion cells in image

Abstract

The invention provides a method for segmenting adhesion cells in an image, which comprises the following steps of: performing image binaryzation, and performing distance transform on a binary image to obtain a distance value of each point; detecting local extreme points in a distance image, and screening to obtain central points representing cells; performing water area segmentation on the distance image, and determining the subjection relation of subblocks and the cells according to the distance between the center of each subblock and the center of each cell; and finally segmenting intermediate blocks adjacent to a plurality of subblocks accurately. By the method, the problems of over-segmentation and segmentation error which are likely to occur in the conventional watershed segmentation are solved effectively, and the method has the good applicability to the adhesion of the cells.

Description

technical field

[0001] The invention relates to a method for segmenting cohesive cells in an image, which is applied to separating a plurality of cohesive cells in an image. Background technique

[0002] In blood staining pictures, cell adhesion is often encountered. In order to accurately obtain the morphological information of each cell, we must separate these adherent cells. There have been some studies on the separation of adherent cells at home and abroad, and the methods currently used mainly include the following:

[0003] 1. Morphology-based watershed segmentation method

[0004] The watershed segmentation method is a mathematical morphology segmentation method based on topology theory. Its basic idea is to regard the image as a topological landform in geodesy, and the gray value of each pixel in the image represents the altitude of the point. Each local minimum and its affected area are called catchment basins, and the boundaries of catchment basins form watershed...

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