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An image processing method, a target recognition model training method, and a target recognition method

An image processing and target recognition technology, applied in the field of target recognition, can solve problems affecting geological defect recognition, reduce the impact of noise, improve accuracy and efficiency, and improve accuracy

Active Publication Date: 2021-12-28
CHINA TIESIJU CIVIL ENG GRP CO LTD +1
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Problems solved by technology

[0006] Aiming at the problem that the radar spectrum in the existing tunnel geological defect detection has a large number of stripes and noise points, which greatly affects the identification of geological defects, the present invention provides an image processing method, a target recognition model training method and a target recognition method , used to identify geological defects in the radar spectrum

Method used

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  • An image processing method, a target recognition model training method, and a target recognition method
  • An image processing method, a target recognition model training method, and a target recognition method
  • An image processing method, a target recognition model training method, and a target recognition method

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Embodiment 1

[0056] like figure 1 and Figure 4 As shown, combined with the formation principle of the tunnel geological radar scanning spectrum and the characteristics of large differences in gradient information in different states, before the geological defect identification, the feature enhancement processing of the image is carried out first. The edge features, texture features and structural features are enhanced. The extraction and enhancement of these three features can be promoted side by side without any order. The following will introduce the extraction of edge features, texture features and structural features respectively.

[0057] When extracting the edge features of the image to be processed, the gradient transformation algorithm is used, and the obtained gradient prior graph is named Fg, where the gradient transformation algorithm is a sobel operator, and f(x, y) is set as (x, y) on the image to be processed. y) point grayscale value, G(x) is the image grayscale value of t...

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Abstract

The invention discloses an image processing method and belongs to the technical field of target recognition. It includes the following steps: extracting the edge features of the image to be processed to obtain the gradient prior map Fg; extracting the texture features of the image to be processed to obtain the texture feature map Fv; extracting the structural features of the image to be processed to obtain the structural feature map Fs; The verification image Fg, the texture feature image Fv and the structural feature image Fs are Concat stitched to obtain a multi-feature mosaic image Fc; the multi-feature mosaic image Fc is convolved and fused to obtain a multi-feature fusion image Ff. The invention first enhances the edge feature of the image to be processed, and then fuses the texture feature and the structure feature, so that the target feature in the picture can be recognized more accurately.

Description

technical field [0001] The invention belongs to the technical field of target recognition, and more specifically relates to an image processing method, a target recognition model training method and a target recognition method. Background technique [0002] With the development of information technology, image-based target detection technology is more and more widely used, common face recognition and vehicle obstacle recognition. Due to different application scenarios, it is difficult for the same target recognition model to be universally used in all fields that require target recognition. For example, in the construction of tunnel engineering, it is necessary to quickly and accurately detect and locate the voids and cavities that may appear inside the tunnel transverse tunnel. At present, in the method of abnormal detection of tunnel geological structure, it is mainly based on manual frame selection and mark counting from the geological radar scanning spectrum map. This k...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06K9/46G06K9/62G06N3/04
CPCG06T7/0002G06V10/44G06N3/045G06F18/253
Inventor 刘道学耿天宝杨铭于健胡伟肖丽娜张尧尘
Owner CHINA TIESIJU CIVIL ENG GRP CO LTD
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