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

Intelligent bacterium colony counting method

A counting method and intelligent colony technology, applied in the field of computer vision, can solve problems such as experimenter fatigue

Active Publication Date: 2017-02-22
SHANGHAI MARITIME UNIVERSITY
View PDF4 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the disadvantage that the traditional colony counting method adopts manual counting, which is easy to cause the fatigue of the experimenter after multiple tests, and proposes an intelligent colony counting method

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
  • Intelligent bacterium colony counting method
  • Intelligent bacterium colony counting method
  • Intelligent bacterium colony counting method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0078] This embodiment implements a specific implementation process of an intelligent colony counting method.

[0079] 1. The image acquisition module is used to receive images containing statistical colonies. The received images can be images collected after directly calling the camera, or imported images that have already been captured into the system. The images are usually gray degree image M, if the read-in image is a color RGB image M c , you need to convert the color image M c Convert to grayscale image and pass to edge filtering module.

[0080] The color image M c The transformation method for converting to a grayscale image M is: for the original color image M c The R, G, and B components corresponding to each pixel on M are represented by i and j without loss of generality, then the gray value of the corresponding pixel on M is M(i,j)=0.3 ×B(i,j)+0.59×G(i,j)+0.11×R(i,j), where M(i,j) is an integer, if the result is a decimal, only the integer part is taken, so 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

Provided is an intelligent bacterium colony counting method. An image collection module, an edge filtering module, a binary processing module, an image segmentation module, a characteristic matching module, a result display module and a parameter interaction setting module are included; the image collection module reads in an image of bacterium colonies to be counted; the edge filtering module determines a distribution area of the counting bacterium colonies, and sets points beyond the area as a background; the binary processing module converts an image in the counting area into a binary image; the image segmentation module divides the image in the counting area into independent image blocks, and each block includes only one bacterium colony; the characteristic matching module implements characteristic matching according to a bacterium colony image selected by a user and each image block obtained by segmentation, and an image which succeeds in matching is a bacterium colony image; the result display module displays a matching result, and adjusts the matching result according to selection of the user; and the parameter interaction setting module interacts with the user, reminds the user of input, and receives the result input by the user.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a method for counting the number of colonies in photos using an image processing method in the field of computer vision. Background technique [0002] In biological experiments, it is often necessary to count the number of colonies in the petri dish. The traditional method is to count the number of colonies manually. This method is time-consuming and laborious, and it is also easy to cause mental fatigue to the experimenter. [0003] The present invention uses a computer image processing method to count and count the colonies in the culture dish. Since images are easy to extract nowadays, the image-based colony counting method has high applicability. The present invention adopts an image feature matching method, so that a large number of wrong colonies can be eliminated. Contents of the invention [0004] The technical problem to be solved by the present invention is to overcome...

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): G06M11/00G06K9/00G06K9/38G06K9/46
CPCG06M11/00G06V20/695G06V20/698G06V10/28G06V10/40
Inventor 刘昱昊
Owner SHANGHAI MARITIME UNIVERSITY
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