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Microscopic image detection method of uredia spores of wheat stripe rust based on improved centernet technology

A technology for microscopic images and detection methods, which is applied in the acquisition/recognition of microscopic objects, instruments, calculations, etc., to prevent overfitting, enhance segmentation overlap, and achieve fast detection speed.

Active Publication Date: 2022-04-01
ANHUI UNIVERSITY
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  • Claims
  • Application Information

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Problems solved by technology

[0007] The purpose of the present invention is to solve the defect that it is difficult to detect microscopic images of uredia in the prior art, and to provide a method for detecting microscopic images of wheat stripe rust bacteria uredia based on improved CenterNet technology to solve the above problems

Method used

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  • Microscopic image detection method of uredia spores of wheat stripe rust based on improved centernet technology
  • Microscopic image detection method of uredia spores of wheat stripe rust based on improved centernet technology
  • Microscopic image detection method of uredia spores of wheat stripe rust based on improved centernet technology

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Embodiment Construction

[0054] In order to have a further understanding and understanding of the structural features of the present invention and the effects achieved, the preferred embodiments and accompanying drawings are used in conjunction with detailed descriptions, and the descriptions are as follows:

[0055] like figure 1 As shown, a kind of microscopic image detection method of wheat stripe rust urea spore based on improved CenterNet technology of the present invention, comprises the following steps:

[0056] The first step is the acquisition and preprocessing of the microscopic image of uespores. Obtain the collected microscopic images of spores that have been manually marked with an ellipse frame. After preprocessing, the marked data format is bbox[x, y, 2a, 2b, angle], where x and y are the center points of the ellipse Coordinates, 2a and 2b are the lengths of the major and minor axes, angle is the angle formed by the major axis relative to the positive direction of the X axis, and the ...

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Abstract

The invention relates to a method for detecting microscopic images of uredia spores of wheat stripe rust based on the improved CenterNet technology. Compared with the prior art, the defect that it is difficult to detect microscopic images of uredia spores is solved. The invention comprises the following steps: acquisition and preprocessing of uredia spore microscopic image; construction of uredia spore detection network; training of uredia spore detection network; acquisition of uredia spore microscopic image to be detected; obtained. The invention can accurately detect and segment the uredia in the microscopic image of the uredospores, and the detection speed is fast.

Description

technical field [0001] The invention belongs to the technical field of agricultural image processing, and particularly relates to a microscopic image detection method of wheat stripe rust urea spores based on improved CenterNet technology. Background technique [0002] Wheat stripe rust is caused by Puccinia striiformis f.sp.tritici, which is characterized by wide distribution, strong prevalence and great harm. First, the source center of stripe rust appeared in the field, and then spread the infection from the incidence center to the surrounding area with the help of airflow, and oversummered and overwintered in different places with the fungus spores of stripe rust, completing the annual cycle of stripe rust, and circulating in different areas. . Therefore, the rapid and accurate detection of the number of fungal urea spores in the field air can strengthen the early prediction and forecast of wheat stripe rust, which is of great significance for reducing economic losses, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/69G06V10/774G06K9/62
CPCG06F18/214
Inventor 雷雨周晋兵梁栋黄林生陈鹏何东健赵晋陵张东彦翁士状曾伟辉焦林李春春郑玲张文杰方俊翔卢斐然
Owner ANHUI UNIVERSITY
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