A kind of intelligent colony counting method

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

Active Publication Date: 2018-11-23
SHANGHAI MARITIME UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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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

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  • A kind of intelligent colony counting method
  • A kind of intelligent colony counting method
  • A kind of intelligent colony counting method

Examples

Experimental program
Comparison scheme
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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...

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Abstract

An intelligent colony counting method, comprising: an image acquisition module, which is used to read in the image of the colony to be counted; an edge filter module, which is used to delineate the distribution area of ​​the counted colony, and set the points outside the area as the background; The processing module is used to convert the image in the counting area into a binary image; the image segmentation module is used to divide the image in the counting area into several independent image blocks, and each block contains only one colony; the feature matching module , which is used to perform feature matching according to the colony image selected by the customer and each image block obtained by segmentation, and the successfully matched image is the colony image; the result display module is used to display the matching result, and can Select to adjust the matching result; the parameter interaction setting module is used for interacting with the user, prompting the user for input and receiving 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

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06M11/00G06K9/00G06K9/38G06K9/46
CPCG06M11/00G06V20/695G06V20/698G06V10/28G06V10/40
Inventor 刘昱昊
Owner SHANGHAI MARITIME UNIVERSITY
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