Microalgae automatic counting method based on digital image processing

An automatic counting and digital image technology, applied in image data processing, image analysis, calculation, etc., can solve the problems of time-consuming and labor-intensive counting of artificial microalgae, cell adhesion of microalgae microscopic images, etc., and achieve low cost, high accuracy, overcoming inefficiencies

Inactive Publication Date: 2014-07-30
FUZHOU UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The purpose of the present invention is to overcome the time-consuming and labor-intensive problems of the existing artificial microalgae counting. At the same time, the present invention aims at the difficult problems of mic

Method used

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  • Microalgae automatic counting method based on digital image processing
  • Microalgae automatic counting method based on digital image processing
  • Microalgae automatic counting method based on digital image processing

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0116] figure 2 Shown is the microscopic image of the microalgae counted in this example.

[0117] f=imread(' figure 2 .bmp'); % read in image

[0118] I=rgb2gray(f); % image gray value

[0119] The image gray value effect is as follows image 3 shown.

[0120] I=rgb2gray(f); % image gray value

[0121] I1=medfilt2(I,[5,5]);% median filter

[0122] The image gray value effect is as follows Figure 4 shown.

[0123] se = strel('disk',60);

[0124] J=imbothat(I1,se);% bottom hat transformation

[0125] The bottom hat transformation effect is as follows Figure 5 shown.

[0126] level = graythresh(J);

[0127] BW=im2bw(J,level);% convert the image into a binary image

[0128] The binarization effect is as Image 6 shown.

[0129] se1 = strel('disk',10);

[0130] Ie=imerode(BW,se1);% corrode the image

[0131] Iobr = imreconstruct(Ie,BW); % morphological reconstruction

[0132] Iobrd=imdilate(Iobr,se1);% expand the image

[0133] Iobrcbr = imreconstruct(imcomp...

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Abstract

The invention discloses a microalgae automatic counting method based on digital image processing. Digitalized processing is conducted on a preprocessed picture through a matlab image processing method to extract a binary image, morphological processing is conducted on the image, and the amount of microalgae is calculated. The problems of heavy labor and measurement errors caused by manual counting of microalgae microscopic images at present are solved. Meanwhile, the reliable counting method and the reliable counting steps are provided for the difficult problem that due to the fact that the microalgae microscopic images are easily affected by illumination impurity interference, light-background dark objects and cytoadherence, the microalgae can not be accurately counted, and the microalgae automatic counting method has important significance in microalgae growth monitoring.

Description

technical field [0001] The invention relates to an automatic microalgae counting method based on digital image processing, belonging to the field of microalgae cultivation systems. Background technique [0002] At present, the microalgae counting method is mainly the microscope manual observation counting method. Microscopic manual observation and counting method is to use a microscope to observe microalgae samples on glass slides, and then manually count microalgae to obtain various parameters. The result is more accurate, but the efficiency is low and the speed is very slow. Moreover, the microscopic images of microalgae are easily disturbed by light, impurities, etc., which makes it difficult to accurately segment and count the images. Contents of the invention [0003] The purpose of the present invention is to overcome the time-consuming and labor-intensive problems of the existing artificial microalgae counting. At the same time, the present invention aims at the di...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06M15/00
Inventor 沈英郑德键赵云徐新苗朱明珠
Owner FUZHOU UNIV
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