Infrared weak and small target detection method based on local contrast and gradient

Abstract

The invention discloses an infrared weak and small target detection method based on local contrast and gradient, and relates to the field of infrared small target detection, and the method comprises the steps: 1, constructing a Gaussian difference pyramid, and extracting an interest point of an image; step 2, eliminating edge response through adaptive threshold segmentation; step 3, constructing a multi-scale space to carry out extreme point detection; 4, enhancing the target by using a local contrast calculation method; and step 5, obtaining a detection result through gradient direction calculation. By using the detection method of the invention to detect the infrared weak and small target in various scenes, the target detection rate is up to 0.989, the target detection rate is high, and the robustness is better. According to the invention, extreme point detection is carried out by using the Gaussian difference pyramid, so that the extreme point detection precision and effect are improved. According to the method, local contrast calculation and gradient calculation are combined, background clutters are effectively suppressed, the target detection rate is improved, the false alarm rate is reduced, and infrared weak and small targets are detected in various scenes.

Description

technical field [0001] The invention relates to the technical field of infrared small target detection, in particular to an infrared weak and small target detection method based on local contrast and gradient. Background technique [0002] The rapid development of infrared technology has prompted its application fields to cover military, medical, detection, communication and other aspects. Due to the long distance between the imaging target and the infrared detector, the imaging shows the characteristics of low contrast, less pixels and lack of texture features; in addition, infrared images are easily affected by bad weather such as fog, rain, and haze, and the infrared image is weak. Targets are easily submerged and extremely difficult to detect. Therefore, the detection of infrared weak and small targets under complex background conditions has always been a research focus and difficulty. [0003] At present, detection methods based on spectral residuals and detection met...

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Problems solved by technology

[0004] In order to solve the problems of background clutter difficult to suppress, high false alarm rate, low target detection rate, and even ineffective detection existing in ...

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