A fusion method of infrared polarization image based on YUV and multi-feature separation

Abstract

The invention discloses a fusion method of infrared polarization images based on YUV and multi-feature separation. Firstly, a Stokes vector is used to express the polarization state of light, and a polarization degree image and a polarization angle image are calculated. Then the unique parts P 'and R' of the polarization degree and polarization angle images are obtained. Then the image P 'and R' are fused by using the multi-feature separation method of dark primary color theory, and the fused result and the total intensity image I are fused in YUV space to obtain the final fusion result of infrared polarization image. This method is based on the human visual characteristic YUV color space, effectively improves the visualization effect of the polarization image fusion result, enhances the detail information of the image such as the edge, improves the image contrast, fuses the complementary information among the polarization quantities, makes the fusion image scene richer, and is helpfulto the recognition of the camouflage target.

Description

technical field [0001] The present invention generally relates to the technical field of image processing, in particular to a fusion method of infrared polarization images based on YUV and multi-feature separation. Background technique [0002] The traditional infrared imaging system mainly images the infrared radiation intensity of the scene, which is mainly related to the temperature and emissivity of the scene. When a noise source with the same temperature is placed around the target, the existing infrared thermal imaging camera cannot identify the camouflaged target, and the infrared imaging technology faces serious limitations and challenges. Compared with traditional infrared imaging, the polarization imaging of light can reduce the degradation effect of complex scenes, and the use of polarization imaging of light can reduce the degradation effect of complex scenes, and at the same time, the structure and distance information of the scene can be obtained. It is precis...

AI Technical Summary

Problems solved by technology

In the process of polarization image fusion, only a single difference feature is considered, which cannot effectively describe all the uncertain and randomly changing image features in the image, resulting in the loss of some valuable information during the fusion process, resulting in the fusion and recognition. Failed; at the same time, the visual effect of the fusion image affects the resolution ability of the human eye and the recognition effect on camouflaged targets

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