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Fungus image recognition method and device, electronic equipment and storage medium

A technology of image recognition and fungi, which is applied in character and pattern recognition, instruments, computer parts, etc., can solve the problem of low efficiency in identifying fungi images

Pending Publication Date: 2020-04-14
YUNNAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the embodiments of the present application is to provide a fungi image recognition method, device, electronic equipment, and storage medium, which are used to improve the problem of low efficiency in identifying fungus images

Method used

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  • Fungus image recognition method and device, electronic equipment and storage medium
  • Fungus image recognition method and device, electronic equipment and storage medium
  • Fungus image recognition method and device, electronic equipment and storage medium

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Embodiment approach

[0060] The first implementation mode, additive fusion, is also called additive fusion, that is, the fusion layer is used to add the first feature and the second feature to obtain the fusion feature. In the process of addition fusion, the network structure is not changed, but the output of the network structure is changed, and the output features of multiple convolutional layers are added. For example, the output feature of the first convolutional layer is 123, and the output of the second convolutional layer is 123. The output feature of the convolutional layer is 456, then the fusion layer is used to add and fuse the first feature and the second feature to obtain a fusion feature of 579.

[0061] The second implementation mode is splicing and fusion, that is, using a fusion layer to splice the first feature and the second feature to obtain the fusion feature. In the process of using splicing and fusion, the network structure has not been changed. For example, the output featu...

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Abstract

The invention provides a fungus image recognition method and device, electronic equipment and a storage medium. The method comprises the steps that at least one base network of a pre-trained fusion network model is used for extracting features of a plurality of fungus images, fusion features are obtained, the base network represents a neural network for conducting convolution operation and fusionoperation on the images, and the angles or growth periods of fungi in the fungus images are different; and the classification layer of the fusion network model is used to identify the fusion featuresto obtain the classification of the fungus images. In the implementation process, the features of the fungus images are extracted by using at least one base network of the fusion network model to obtain the fusion features, and the classification layer of the fusion network model is used for identifying the fusion features to obtain the classification of the fungus images, so that the efficiency of identifying the fungus images is effectively improved.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence and image recognition, in particular, to a fungi image recognition method, device, electronic equipment and storage medium. Background technique [0002] Fungi refer to large fungi that are roughly umbrella-shaped; there are many ways to classify fungi, for example: they can be divided into wild fungi and artificially cultured fungi according to whether they are artificially cultivated, and they can be divided into edible fungi and non-edible fungi according to whether they can be eaten According to whether it is toxic or not, it can be divided into toxic bacteria and non-toxic bacteria; the inedible fungi here are not necessarily caused by toxicity, but may also be caused by factors such as taste and smell. Common edible fungi include: shiitake mushrooms, straw mushrooms, mushrooms, fungus, white fungus, Hericium erinaceus, bamboo fungus and matsutake, etc.; common toxic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/24G06F18/253
Inventor 余鹏飞丁文谦陆鑫伟顾健普园媛李海燕袁国武
Owner YUNNAN UNIV
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