Underwater polarization image fusion system based on bionic vision mechanism

Abstract

The invention discloses an underwater polarization image fusion system based on a bionic vision mechanism. The system comprises a cluster light underwater polarization imaging module based on a non-uniform light field, a polarization parameter image calculation module, an image storage module, an image grading fusion module and an output display module. First of all, the non-uniform light field can be established by taking a cluster light source as underground illumination, underwater polarization images are extracted by use of a bionic mantis and shrimp vision polarization perceiving mechanism, and thus backward scattering caused by particles suspended in water is inhibited; and then, by use of information correlation and complementarity between polarization parameter images, based on a human eye vision feature, a grading fusion model of the images is constructed, and thus feature and multi-scale fusion of the polarization images is realized. According to the invention, the sharpness and the contrast of the underwater polarization images can be effectively improved, detection and analysis of underwater targets are facilitated, and the detection precision of the underwater targets is further improved.

Description

technical field [0001] The invention belongs to the technical field of underwater imaging and image processing, in particular to an underwater polarization image fusion system and method based on a bionic vision mechanism. Background technique [0002] In recent years, with the increasing demand for underwater environment perception, underwater optical imaging technology has been widely used in underwater target detection, water conservancy engineering, marine geographic engineering survey and marine military and other fields. However, the non-linear effects of the scattering and absorption effects of water on light in the underwater imaging process lead to a significant decline in underwater image quality, blurred image details, strong noise, and low contrast. posed great difficulties. Therefore, how to effectively suppress backscattering is the key to improving the performance of underwater imaging systems, and has attracted extensive attention from scholars. The non-unif...

AI Technical Summary

Problems solved by technology

The system uses a clustered light source with a non-uniform light field as underwater lighting to complete underwater polarization imaging and polarization parameter image calculation imitating mantis shrimp vision, and then realizes the hierarchical fusion of underwater polarization images based on human visual characteristics (HVS), including Two levels of feature fusion and multi-scale fusion, so as to improve the clarity and contrast of polarization images, improve the visual effect of images, provide intuitive, clear, and suitable images for analysis, patent retrieval and latest retrieval of various scientific and technological documents at home and abroad shows that no related method has been published in the literature

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