Traditional multi-view target detection can only obtain the light intensity information of the target, and its detection ability is very limited in complex environments; Traditional polarization target detection mainly relies on a single camera to obtain the polarization information of the target, making it difficult to directly obtain all the polarization information of the target in some complex backgrounds. In order to overcome the limitations of the two detection methods mentioned above, this paper studies a multi angle polarization target detection method based on a polarization array system. This method mainly uses traditional multi perspective image processing algorithms to process polarized images and achieve polarization image stitching. To address the issue of the inability to directly concatenate polarized images in low light environments, this paper proposes the introduction of image enhancement algorithms to achieve the concatenation and target detection of multi angle polarized images in low light environments. Based on the characteristics of polarization feature images, a fusion method based on polarization features was studied to improve the contrast between the target and the background.
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