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An infrared small target detection method for complex scenes

A technology for small target detection and complex scenes, applied to instruments, character and pattern recognition, computer components, etc., can solve the problems of high false alarm rate, difficult ground and air background, low detection rate, etc., and achieve the effect of wide application prospects

Active Publication Date: 2018-12-14
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0002] At present, most infrared small target detection algorithms can only have a good detection effect on the sky background, and most algorithms cannot be applied to the ground-space background. The background is still more difficult

Method used

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  • An infrared small target detection method for complex scenes
  • An infrared small target detection method for complex scenes
  • An infrared small target detection method for complex scenes

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Embodiment Construction

[0038] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0039] The detection method of the present invention is specifically divided into three stages: an improved top-hat background suppression method, fractional target enhancement and spectral residual method salient target extraction. The present invention first uses the improved soft morphological filter operator for background suppression, which can remove the interference of most background areas. After this operation, both the target and background clutter will be weakened, so the use of fractional differential for target enhancement can enhance The gray value of the target, while slightly increasing the background clutter, combined with a saliency detection method to extract the target.

[0040] Improved top-hat background suppression method:

[0041] Mathematical morphology consists of a group of morphological algebraic ...

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Abstract

The invention belongs to the technical field of unmanned aerial vehicle (UAV) detection, in particular to an infrared small target detection method for complex scenes. The invention suppresses a largenumber of backgrounds by using an improved morphological filter and separates the backgrounds. A saliency detection algorithm combined with fractional derivative is proposed, an eight-direction fractional-order differential operator is used to enhance the gray level of the object, the background noise can be suppressed slightly, and then the spectral residual is used for significant target detection and target extraction, which is better than the single direct use of spectral residual method for detection, and the obtained target is more significant, so that the purpose of high detection rateand low false alarm rate detection can be achieved for infrared weak and small target in the field of view in a plurality of scenes.

Description

technical field [0001] The invention belongs to the technical field of unmanned aerial vehicle detection, and specifically relates to an infrared small target detection method for complex scenes. Background technique [0002] At present, most infrared small target detection algorithms can only have a good detection effect on the sky background, and most algorithms cannot be applied to the ground-space background. The background is still a more difficult issue. Contents of the invention [0003] The purpose of the present invention is to solve the above problems by utilizing an improved morphological filter, combined with a fractional differential operator and a saliency detection method, to solve the purpose of high-precision detection of infrared small targets under various complex backgrounds. [0004] Technical scheme of the present invention is: [0005] An infrared small target detection method for complex scenes, characterized in that it comprises the following ste...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V20/10G06V2201/07
Inventor 闫斌叶润李鹏
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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