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Wheat stripe rust fungus uredospore microscopic image detection method based on improved Center Net technology

A technology of microscopic images and detection methods, applied in instruments, character and pattern recognition, computer parts, etc., to achieve the effect of reducing network parameters, preventing overfitting and fast detection

Active Publication Date: 2021-12-31
ANHUI UNIVERSITY
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  • 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

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  • Wheat stripe rust fungus uredospore microscopic image detection method based on improved Center Net technology
  • Wheat stripe rust fungus uredospore microscopic image detection method based on improved Center Net technology
  • Wheat stripe rust fungus uredospore microscopic image detection method based on improved Center Net technology

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Embodiment Construction

[0054] For a better understanding and knowledge of the structural features and effects of the present invention reached to the preferred embodiments and the drawings with the detailed description, as follows:

[0055] like figure 1 As shown in A of the present invention is based on improved technology CenterNet microscopic image of a spore of wheat stripe rust pathogen detection summer, comprising the steps of:

[0056] The first step, acquisition and pre-processing urediniospore microscopic images. Acquired have been acquired urediniospore microscopic image of manually labeled oval frames, after pre-treatment step to obtain annotation data format bbox [x, y, 2a, 2b, angle], where, x and y is the center point of the ellipse coordinates, 2a and 2b is the length of the axis length, angle of the major axis with respect to the positive direction of the X axis the angle range of 0-180 °.

[0057] In the laboratory phase, the label image data, tag data according to JSON 8: 2 ratio annot...

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Abstract

The invention relates to a wheat stripe rust fungus uredospore microscopic image detection method based on an improved Center Net technology. Compared with the prior art, the wheat stripe rust fungus uredospore microscopic image detection method solves the defect that a uredospore microscopic image is difficult to detect. The method comprises the following steps: obtaining and preprocessing a uredospore microscopic image; performing construction of a uredospore detection network; training a uredospore detection network; obtaining a microscopic image of the uredospores to be detected; and obtaining a microscopic image detection result of the to-be-detected uredospores. According to the invention, the uredospores in the uredospore microscopic image can be accurately detected and segmented, and the detection speed is high.

Description

Technical field [0001] The present invention is an agricultural image processing technology, and particularly relates to a method for detecting microscopic images rust urediospores of wheat stripe technology based CenterNet improved. Background technique [0002] Wheat stripe rust caused by Puccinia striiformis (Puccinia striiformis f.sp.tritici), its wide distribution characteristics of the disease, epidemic strong, great harm. Source stripe rust first appeared in the center of the field, then the spread of infection by means of the air flow to the periphery by the onset central to the original stripe rust fungus spores summer summering and wintering places in complete annual cycle of stripe rust, and to and from the popular infection in different regions . Therefore, quickly and accurately detect the amount of air field in the summer of fungal spores, can strengthen early forecast for wheat stripe rust, to reduce economic losses, pesticide abuse control, to ensure food security...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
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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