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Infrared target detection method based on target boundary positioning

A technology of infrared target and detection method, which is applied in the field of infrared target detection based on target boundary positioning, can solve the problems of high similarity, susceptibility to clutter interference, complex background environment, etc., and achieves effective detection, improved network structure, and improved extraction. effect of effect

Inactive Publication Date: 2021-05-28
TIANJIN UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to solve the problem of infrared image contour information fuzzy, complex background environment, high similarity, susceptible to clutter interference and lack of texture and color features, according to the structural characteristics of the single-stage detection algorithm, to solve the problem of depth The learning method is difficult to accurately extract the semantic features of infrared images, which leads to the poor detection effect of infrared targets

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  • Infrared target detection method based on target boundary positioning
  • Infrared target detection method based on target boundary positioning
  • Infrared target detection method based on target boundary positioning

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Embodiment Construction

[0044] In order to explain in detail the technical content, structural features, achieved goals and effects of the technical solution, the following will be described in detail in conjunction with specific embodiments and accompanying drawings.

[0045] The present invention proposes a kind of infrared target detection method based on target boundary location, and it comprises the following steps:

[0046] S1. Read image information, and perform exponential transformation on the infrared image by using an adaptive exponential transformation method.

[0047] refer to figure 1As shown, it is a structural block diagram of the infrared target detection method based on target boundary positioning. The infrared image is first subjected to adaptive exponential transformation, and then the transformed image is re-unified in size and then input to the composite residual network as the backbone feature extraction network to extract feature maps at different scales in the image. The fe...

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Abstract

The invention belongs to the technical field of machine vision, and particularly relates to an infrared target detection method based on target boundary positioning. In the algorithm, firstly, the contrast of an infrared image is enhanced by using adaptive exponential transformation, and semantic details of the image are enhanced; the improved composite Resnet-50 is adopted to extract characteristic spectrums under different scales in the image; feature fusion is carried out by adopting a bidirectional feature pyramid, and the detection capability of the model on weak and small targets is enhanced; and Focal Loss is adopted as a classification loss function of the model, a loss function based on target boundary positioning is adopted as a regression loss function of the model, and the detection model is trained. According to the invention, effective detection of the infrared target is realized.

Description

technical field [0001] The invention belongs to the technical field of machine vision, and more specifically relates to an infrared target detection method based on target boundary positioning. Background technique [0002] As an important part of the field of computer vision, infrared target detection technology aims to determine the position and category of targets in the image by reading the information contained in the infrared image. Compared with visible light images, relying on infrared thermal imaging technology to obtain infrared images has great advantages in low-light, foggy and other environments. Therefore, infrared target detection technology is of key significance in video surveillance, military strikes, intelligent driving, etc. However, infrared target detection still faces problems such as the foreground and background being too similar, and the edges of objects being blurred. [0003] In 2009, Kim et al. used LOG (Laplacian Of Gaussian) transformation to...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/42G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/04G06N3/08G06V10/32G06V10/44G06F18/241
Inventor 董恩增肖泽灏佟吉钢于航张祖锋
Owner TIANJIN UNIVERSITY OF TECHNOLOGY
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