Self-adaptive fusing method of infrared polarization image based on wavelets

Abstract

The invention discloses a self-adaptive fusing method of an infrared polarization image based on wavelets. The self-adaptive fusing method comprises the following steps of: carrying out wavelet decomposition on an input image and establishing respective wavelet decomposition coefficient; respectively calculating a matching measure of respective high-frequency component of the input image; calculating a decision-making module part of the fusing method by combining a genetic algorithm; carrying out self-adaptive optimization on a key parameter threshold value T in a decision-making factor by utilizing the genetic algorithm; calculating the high-frequency component of a fusion image; carrying out average weighting by utilizing a low-frequency component of a source image to obtain the low-frequency component of the fusion image; and combining the high-frequency component with the low-frequency component and utilizing wavelet inverse transformation to obtain the final fusion image. According to the self-adaptive fusing method disclosed by the invention, the fusing effect of the infrared polarization image is obviously improved.

Description

technical field [0001] The invention belongs to the field of image detection and processing, in particular to the field of self-adaptive image fusion in infrared polarization imaging detection technology. Background technique [0002] With the development of detection technology and sensor technology, the accuracy and sensitivity of infrared detection are getting higher and higher, and the temperature difference of the target that can be detected is getting smaller and smaller. According to data, the temperature sensitivity of the most advanced thermal imaging cameras has reached 0.05 degrees Celsius. Although the detection sensitivity has been improved, the probability of target discovery and identification is still not very high due to the limitation of the cluttered background signal. For example, if a noise source with the same temperature is placed around the target, the existing thermal imaging camera will not be able to identify it. How to solve this problem is the ...

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Problems solved by technology

[0007] 2) The radiation characteristics of the target and the background are different

[0016] 3) The main method of military infrared protection is to create a complex background, and place various infrared point heat sources and surface heat sources in a disorderly manner in the background, so that the background is uneven, and the infrared system cannot distinguish the target from the background, but this disorder The polarization characteristics of the heat source and the target are usually different, so this form of protection has its limitations for infrared polarization imaging reconnaissance

[0018] 5) For targets and backgrounds with the same radiation intensity, traditional imaging cannot distinguish them, but polarization imaging is usually easier to distinguish them

At the same time, the parameters in the genetic algorithm cannot be determined directly, so it is necessary to propose a specific group selection and judgment method for the image fusion method

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