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Infrared target detection method and device based on multi-feature fusion, equipment and medium

A multi-feature fusion and infrared target technology, which is applied in the field of infrared target detection, can solve the problems of less target feature information and low contrast of infrared images, and achieve the effects of fast calculation speed, stable detection results, and improved target detection probability

Active Publication Date: 2021-12-21
CALCULATION AERODYNAMICS INST CHINA AERODYNAMICS RES & DEV CENT
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the defects of the prior art, to provide an infrared target detection method, device, equipment and medium based on multi-feature fusion. Various feature information of clutter is processed by multi-feature fusion, and multiple feature channels are used for parallel processing, thereby improving the target detection probability and reducing the false alarm rate

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  • Infrared target detection method and device based on multi-feature fusion, equipment and medium
  • Infrared target detection method and device based on multi-feature fusion, equipment and medium
  • Infrared target detection method and device based on multi-feature fusion, equipment and medium

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Embodiment 1

[0077] The current infrared image target detection method requires simple background, high signal-to-noise ratio of target imaging, and is greatly affected by noise and interference, which makes the false alarm rate of infrared target detection higher. New methods developed in recent years, such as methods based on neural networks, genetic algorithms, and deep learning, cannot effectively adapt to weak and small target detection, and because the algorithms are relatively complex and require high storage space, it is difficult to achieve engineering applications in terms of real-time performance. requirements. Infrared target detection methods with good performance, fast calculation speed and engineering application are still the goal pursued by the majority of scientific researchers.

[0078] In order to solve the above technical problems, various embodiments of the multi-feature fusion-based infrared target detection method of the present invention are proposed.

[0079] ref...

Embodiment 2

[0113] refer to Figure 6 ,Such as Figure 6 Shown is a structural block diagram of an infrared target detection device provided in this embodiment, and the device specifically includes:

[0114] The target acquiring module 10 is used to acquire the detection target image.

[0115] The global threshold segmentation module 30 is configured to perform global threshold segmentation on the detection target image to obtain a binarized image.

[0116] The connected domain marking module 40 is configured to perform connected domain marking on the binarized image to obtain candidate targets.

[0117] The feature extraction module 50 is used to perform feature extraction on each candidate target, and the features include target points, target mean value, target signal-to-noise ratio, shape ratio and diagonal local signal-to-noise ratio, and filter each feature channel to obtain each Feature component values ​​of candidate targets.

[0118] The feature fusion module 60 is configured...

Embodiment approach

[0122] As an implementation manner, the global threshold segmentation module 30 performs global threshold segmentation on the detection target image specifically includes:

[0123] To calculate the mean value of the infrared image, the formula for calculating the segmentation threshold is

[0124] .

[0125] in, is the mean value of the background, k is a constant coefficient, and the binarization segmentation judgment condition is:

[0126] .

[0127] in, represents the segmented image, Indicates the image to be segmented, i represents the abscissa, and j represents the ordinate.

[0128] As an implementation manner, the connected domain marking module 40 performs connected domain marking on the binarized image specifically includes:

[0129] Mark the connected domains of 8 domains on the binarized image. In the marked image, the values ​​in the respective regions of the candidate targets correspond to the numbers.

[0130] As an implementation manner, the featu...

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Abstract

The invention discloses an infrared target detection method and device based on multi-feature fusion, equipment and a medium. The method comprises the following steps: acquiring a detection target image; performing global threshold segmentation on the detection target image to obtain a binary image; performing connected domain marking on the binary image to obtain candidate targets; performing feature extraction on each candidate target, and performing filtering processing on each feature channel to obtain a feature component value of each candidate target; performing multi-feature fusion on the candidate targets to obtain a normalized feature vector; and judging whether the normalized feature vector reaches a detection threshold, if the normalized feature vector reaches the detection threshold, reserving the candidate targets, and otherwise, deleting the candidate targets. Aiming at the problems of low infrared image contrast, less target feature information and the like, multi-feature fusion processing is performed by mining multiple feature information of targets and clutters, and parallel processing is performed by using multiple feature channels, so that the target detection probability is improved, and the false alarm rate is reduced.

Description

technical field [0001] The invention belongs to the technical field of image processing and target detection, and in particular relates to an infrared target detection method, device, equipment and medium based on multi-feature fusion. Background technique [0002] Infrared image target detection is one of the most important functions of infrared detection system. Compared with radar systems, infrared detection is not affected by electronic interference, passively receives signals, has strong concealment, high sensitivity, strong smoke penetration ability, and high detection accuracy. Compared with the visible light imaging system, the infrared detection system has a longer detection distance. However, due to the lack of detailed feature information of infrared targets, low contrast, and low signal-to-noise ratio of long-distance targets, it is also very difficult to detect infrared targets. [0003] The current infrared image target detection method requires simple backgr...

Claims

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Application Information

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IPC IPC(8): G06K9/32G06K9/34G06K9/62G06T7/00
CPCG06T7/0002G06F18/253
Inventor 曹东赵杨王海波杨阳刘林岩卢德勇
Owner CALCULATION AERODYNAMICS INST CHINA AERODYNAMICS RES & DEV CENT
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