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

Method for measuring granularity of microscopic image particles segmented on basis of watershed

A technology of watershed segmentation and microscopic image, which is applied in the direction of measuring device, particle size analysis, particle and sedimentation analysis, etc., and can solve the problem of low measurement accuracy of particle size parameters

Active Publication Date: 2014-10-01
BEIJING MECHANICAL EQUIP INST
View PDF5 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a microscopic image particle size measurement method based on watershed segmentation to solve the problem of low measurement accuracy of particle size parameters

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 measuring granularity of microscopic image particles segmented on basis of watershed
  • Method for measuring granularity of microscopic image particles segmented on basis of watershed
  • Method for measuring granularity of microscopic image particles segmented on basis of watershed

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] A method for measuring particle size of microscopic images based on watershed segmentation, the specific steps of which are as follows:

[0050] The first step is to build a microscopic image particle size measurement system based on watershed segmentation

[0051] Microscopic image particle size measurement system based on watershed segmentation, including: optical microscope, CCD camera, image acquisition card, image preprocessing module, image segmentation module and particle parameter measurement module;

[0052] The function of the image preprocessing module is to preprocess the obtained original microscopic image by using the median filter and the global threshold method, remove the noise of the original microscopic image, and strengthen the outline and edge of the particle.

[0053] The function of the image segmentation module is to calculate the gradient image of the preprocessed microscopic image, calculate the internal marker set and the external marker set t...

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 discloses a method for measuring the granularity of microscopic image particles segmented on the basis of a watershed. The method comprises the following steps: firstly, pretreating an obtained original microscopic image by utilizing a median filter and a global threshold mode; then calculating a gradient image of the pretreated microscopic image, so as to construct a data matrix of the gradient image; calculating an internal marker set and an external marker set of the gradient image by virtue of the data matrix, so as to obtain a segmented microscopic image; and then measuring the number, size and shape of the particles, thereby realizing measurement of the granularity of the microscopic image particles segmented on the basis of the watershed. By using the method, the problems of discontinuity and nonuniformity of particle contours obtained by a particle granularity measuring system are effectively solved, and the measurement accuracy of particle granularity parameters is guaranteed. The method has the advantages of simplicity and convenience in use and no need of additional auxiliary equipment.

Description

technical field [0001] The invention relates to a particle size measurement method, in particular to a microscopic image particle size measurement method based on watershed segmentation. Background technique [0002] Particle size is an important feature to characterize the physical properties of particles. At present, the automatic measurement of particle size can be realized by microscopic image measurement method. The microscopic image measurement method is generally composed of an image acquisition part, an image processing part and an image measurement part. The image measurement part uses a CCD camera and a supporting acquisition part to obtain the original microscopic image taken; It is beneficial to the profile information of particle size measurement; the image measurement part performs statistics and calculation of particle size parameters according to the particle profile information. Due to the problems of blurred boundaries, severe noise, and complex backgr...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G01N15/02
Inventor 李雨洋王赢元
Owner BEIJING MECHANICAL EQUIP INST
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