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
CN102034239AInactive Publication Date: 2011-04-27BEIJING INSTITUTE OF TECHNOLOGYGY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING INSTITUTE OF TECHNOLOGYGY
Publication Date
2011-04-27
Estimated Expiration
Not applicable · inactive patent

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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.
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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: â‘ Use 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; â‘¡Aiming 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...

Claims

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