An automatic counting method of wheat spiders based on the combination of multi-scale feature fusion network and localization model

A multi-scale feature and fusion network technology, applied in the field of automatic counting of wheat spiders, can solve the problem of high detection error rate of small target images, reduce feature extraction time and feature dimension, enhance real-time performance, and improve robustness and accuracy degree of effect

Active Publication Date: 2022-07-15
HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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Problems solved by technology

[0005] The purpose of the present invention is to solve the defect of high error rate in image detection for small targets in the prior art, and to provide an automatic counting method for wheat spiders based on the combination of multi-scale feature fusion network and positioning model to solve the above problems

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  • An automatic counting method of wheat spiders based on the combination of multi-scale feature fusion network and localization model
  • An automatic counting method of wheat spiders based on the combination of multi-scale feature fusion network and localization model
  • An automatic counting method of wheat spiders based on the combination of multi-scale feature fusion network and localization model

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[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 method for automatic counting of wheat spiders based on the combination of a multi-scale feature fusion network and a positioning model according to the present invention includes the following steps:

[0056] The first step is the establishment of training samples. Obtain more than 2000 images of wheat spiders in the natural environment of the field as training images, and the wheat spiders in the images have been marked to obtain training samples.

[0057] The second step is to construct the wheat spider detection and counting model. Construct a localization model and a multi-scale feature fusion network, use the localization model to extract the candidate ar...

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Abstract

The invention relates to an automatic counting method of wheat spiders based on the combination of a multi-scale feature fusion network and a positioning model, and compared with the prior art, the defect of high error rate of image detection for small targets is solved. The invention includes the following steps: establishment of training samples; construction of a wheat spider detection and counting model; acquisition of images to be counted; and acquisition of the number of wheat spiders. The invention realizes the direct identification and counting of the wheat spiders in the field natural environment.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a wheat spider automatic counting method based on the combination of a multi-scale feature fusion network and a positioning model. Background technique [0002] Wheat is one of the main food crops in my country. In the process of wheat production, it is vulnerable to a variety of pests. Wheat spider is one of them. It sucks the juice of wheat leaves and even dries up, which seriously affects the output of wheat. The detection of pest population is an important means of pest control, which provides a theoretical basis for pest control decision-making. Therefore, identification and counting of wheat spiders in the field is crucial for improving wheat yield. [0003] With the rapid development of computer vision technology and image processing technology, image-based pest automatic identification and counting technology has become a research hotspot in recent years. Alth...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/25G06V10/74G06V10/766G06V10/80G06V10/82G06K9/62G06N3/04
CPCG06V20/10G06V10/56G06N3/045G06F18/241G06F18/214
Inventor 李瑞王儒敬谢成军张洁陈天娇陈红波胡海瀛
Owner HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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