Local gray abrupt change-based infrared small target detection method

A small target detection, local grayscale technology, applied in image data processing, instrumentation, computing and other directions, to achieve the effect of improving signal-to-noise ratio, suppressing background images, and improving detection probability

Inactive Publication Date: 2011-04-27
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0004] In order to overcome the defects of the existing infrared small target detection algorithm, the present invention proposes a small infrared target detection algorithm based on local grayscale mutations, which utilizes the characteristics of small infrared targets, proposes local mutation weighted information entropy for background suppression, and then Using the local energy method to enhance the target, effectively improve the signal-to-noise ratio of the image

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  • Local gray abrupt change-based infrared small target detection method
  • Local gray abrupt change-based infrared small target detection method
  • Local gray abrupt change-based infrared small target detection method

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[0021] Infrared small target detection algorithm based on local gray level mutation, the specific steps are divided into three steps:

[0022] Step 1. Input the original infrared image, and perform local mutation weighted information entropy preprocessing on all pixels of the original infrared image: For each pixel (x, y) in the infrared grayscale image s, record its corresponding grayscale value as s(x, y), record its corresponding N×N neighborhood as M, where N is a positive odd number greater than 1, and remember that there are m kinds of gray values ​​s in this neighborhood 1 ,s 2 ,...,s m , where m≤N×N, the probability distributions corresponding to various gray values ​​are Define the local mutation weighted information entropy value corresponding to the pixel point (x, y) as:

[0023] H ( x , y ) = - Σ i = 1 ...

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Abstract

In order to overcome the defect of poor adaptability due to excessive dependence of an infrared small target detection algorithm on infrared image models and parameters, the invention provides a local gray abrupt change-based infrared small target detection algorithm. The algorithm provides a local abrupt change weighted information entropy for background suppression by using the characteristics of an infrared small target, and then performs target enhancement by adopting a local energy method so as to effectively improve the signal-to-noise ratio of images.

Description

technical field [0001] The invention belongs to the technical field of target detection and relates to a method for detecting an infrared small target. Background technique [0002] Due to the small target area, low contrast, weakened morphological features, most of the detail features are lost, the background image is complex, the target is often submerged in it, and the imaging signal-to-noise ratio is low, which makes the detection of small targets difficult. [0003] The current solutions are as follows: ①Use the adaptive Butterworth high-pass filter to suppress the infrared background, and detect small targets in the single-frame image through the binarization operation. The key to the algorithm is the selection of the filter cut-off frequency. The image needs different piecewise linear functions; ②Aiming at the small target in the air cloud background, establish a corresponding image model, suppress the noise by calculating the third-order cumulant, and segment the tar...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/00
Inventor 陈禾龙腾彭桂花庞龙
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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