Fusion Detection Method of Infrared Image and Visible Light Image Based on Visual Attention Model

Abstract

The invention provides a fusion detection method of infrared image and visible light image based on a visual attention model. The fusion detection method comprises the steps that pretreatment is conducted respectively on the collected infrared image and visible light image; based on the visual attention model of human eyes, an interested object can be extracted from the infrared image and the visible light image after pretreatment; with the visible light image after pretreatment being the background, the corresponding infrared image after pretreatment and the visible light image being the background undergo gray-scale image fusion, obtaining a gray-scale fusion image; the gray-scale fusion image undergoes pseudo color mapping marking of the interested object, obtaining and outputting the target pseudo color fusion image. The invention is advantageous in that the problem that the interested object in the prior art is weakened in the fusion image can be resolved, the accuracy and reliability of detection and identification of the interested object can be greatly improved; the difficulty of object identification can be reduced.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to a fusion detection method of infrared images and visible light images based on a visual attention model, which can be applied to the detection and recognition of faint targets or targets with complex backgrounds in fusion images. Background technique [0002] The infrared thermal imaging system mainly relies on the radiation of the target and the background to generate the scene image, but the contrast of the infrared image is poor, and it is only sensitive to the radiation of the target scene, and is not sensitive to the brightness change of the scene. Compared with infrared images, visible light images can provide more target details, which is beneficial to human observation. Therefore, using infrared and visible light image fusion technology, it is possible to fully reflect the information redundancy and complementarity among multi-source images obtained by ...

AI Technical Summary

Problems solved by technology

[0008] In view of this, the present invention provides a fusion detection method of an infrared image and a visible light image based on a visual attention model, which can solve the problem in the prior art that the target of interest is weakened in the fusion image, and greatly improve the detection of interest. The accuracy and reliability of target detection and recognition reduce the difficulty of target recognition

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