Infrared weak and small target detection method based on image inpainting and background estimation

Abstract

The invention discloses an infrared weak and small target detection method based on image inpainting and background estimation. The infrared weak and small target detection method comprises the following steps: S1, inputting an original infrared image; S2, suppressing background clutters of the original infrared image through a spatial domain filtering method, and obtaining a filtered image; S3, segmenting suspected weak and small targets by using a threshold segmentation method; S4, restoring and estimating the pixel where the suspected small target is located by using image inpainting, and reconstructing an infrared background image; S5, subtracting the reconstructed infrared background image from the original infrared image to obtain a target saliency map; and S6, segmenting the weak and small target from the target saliency map by using the threshold segmentation method again, and outputting weak and small target information and the like. According to the method, the problems of low detection rate and high false alarm rate caused by noise, clutter, edge and other factors in the existing method are effectively solved, and the method is low in algorithm complexity, less in calculation time consumption, easy to meet the high real-time requirement in practical application and the like.

Description

technical field [0001] The invention relates to the field of infrared detection, and more specifically, to a method for detecting small and small infrared targets based on image repair and background estimation. Background technique [0002] Infrared detection, as an important passive and passive detection technology, has good stealth performance and anti-interference ability, and has been widely used in the field of national defense and military affairs. Due to the very long range of the detection system, the target usually appears in the form of a weak target in the field of view, which is characterized by weak target energy, low signal-to-noise ratio, and lack of shape and texture information. detection. Therefore, infrared faint target detection technology has always been a hot spot and frontier in the field of target detection. [0003] Generally, the main technical approaches of infrared weak and small target detection methods include: methods based on traditional fi...

AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is to overcome the deficiencies of the prior art, provide a method for detecting small infrared targets based on image repair and background estimation, and effectively solve the problems of low detection rate and false alarm rate caused by factors such as noise, clutter and edges in the existing methods. high problem, and the algorithm complexity of this method is low, the calculation time is less, and it is easy to meet the high real-time requirements in practical applications

Images