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Microscope image-based statistical method for fishy algae cells

A technology of algae cells and statistical methods, which is applied in the field of Anabaena cell statistics, can solve problems such as missed detection of deep learning detection models, deviations in performance indicators such as algae density, biomass, etc., to improve the scope of application, reduce data labeling work, The effect of improving efficiency

Pending Publication Date: 2022-05-17
中国南水北调集团中线有限公司河南分公司 +1
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Problems solved by technology

Patent Publication No. CN111443028A proposes a method for identifying and counting algae based on a deep learning model. When this method counts Anabaena algae, the deep learning detection model is likely to cause missed detection, resulting in performance indicators such as algae density and biomass. There is a large deviation from the actual situation

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  • Microscope image-based statistical method for fishy algae cells
  • Microscope image-based statistical method for fishy algae cells
  • Microscope image-based statistical method for fishy algae cells

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[0063] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0064] It should be noted that the steps shown in the flowcharts of the accompanying drawings may be performed in a computer system, such as a set of computer-executable instructions, and that although a logical order is shown in the flowcharts, in some cases, The steps shown or described may be performed in an order different than here.

[0065] Such as figure 1 As shown, the present embodiment provides a method for statistical analysis of Anabaena cells based on microscope images, comprising the following steps:

[0066] (1) Image preprocessing: enhance the contrast of the image;

[0067] ⑵ Image binarization: find out the anabaena area in the image;

[0068] (3) Calculate the minimu...

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Abstract

The invention discloses a method for counting fishy algae cells based on a microscope image. The method comprises the following steps: (1) image preprocessing: enhancing the contrast ratio of the image; (2) image binaryzation: finding out a fishy algae area in the image; (3) calculating the minimum bounding rectangle of the fishy algae: calculating the outer contours of the binary image, and finding the minimum bounding rectangle of the contours; (4) detecting a binary image of the fishy algae: generating the binary image of the fishy algae for cell statistics according to the minimum bounding rectangle of the fishy algae; and (5) calculating the number of the fishy algae cells: counting the number of the fishy algae cells through the binary image calculated in the step (4). According to the method, the problem that the sizes of the anabaena cells are inconsistent under the same resolution ratio can be solved, the statistical accuracy is improved, and the applicability of cell number statistics is also enhanced.

Description

technical field [0001] The invention belongs to the technical field of water ecological environment monitoring, and in particular relates to a method for counting Anabaena cells based on microscope images. Background technique [0002] Using microscopes and high-definition industrial cameras to collect images of algae, and then identifying Anabaena and its pixel coordinates through a deep learning detection model, it is necessary to design an image pattern recognition method to count the number of cells of Anabaena in the image. Patent Publication No. CN111443028A proposes a method for identifying and counting algae based on a deep learning model. When this method counts Anabaena algae, the deep learning detection model is likely to cause missed detection, resulting in performance indicators such as algae density and biomass. There is a large deviation from the actual situation. Contents of the invention [0003] The object of the present invention is to propose a method ...

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Application Information

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IPC IPC(8): G06T7/00G06T7/62
CPCG06T7/0012G06T7/62G06T2207/10056G06T2207/30242
Inventor 任海平段春建朱子晗姬灵张铁财李斌王英才胡圣张晶李书印
Owner 中国南水北调集团中线有限公司河南分公司
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