Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for segmenting adhesion cells in image

A technology of images and cells, applied in image analysis, image data processing, instruments, etc., can solve problems such as segmentation deviation and complex cutting condition judgment, and achieve the effect of avoiding over-segmentation

Inactive Publication Date: 2011-04-13
HUAZHONG UNIV OF SCI & TECH
View PDF3 Cites 29 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in actual operation, due to the diversity of cell shapes and the complex determination of cutting conditions, large deviations in segmentation often occur

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for segmenting adhesion cells in image
  • Method for segmenting adhesion cells in image
  • Method for segmenting adhesion cells in image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0025] Step 1: Carry out threshold segmentation on the image containing adhesion cells, mark the adhesion cells in the image as the foreground color, and the rest as the background color to obtain the binary image f(x, y), and the binary image f(x , y) do chamfering distance transformation to get the distance value of each point in the graph, and save it as a distance map d(x, y).

[0026] The binary image data is a 0-1 matrix with width w and height h, where 0 represents the background point and 1 represents the foreground point.

[0027] Step 2, determine the center point of the real cell

[0028] (1) Search for a local maximum point in the distance map d(x, y) (a local maximum point means that the distance value of the point is greater than the distance value of each point in its eight neighbors), and save its coordinate value in an array ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06T7/00G06K9/00
Inventor 汪国有林晨郑馨刘建国
Owner HUAZHONG UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com