Salient visual method based on polarization imaging and applicable to underwater target detection

Abstract

The invention discloses a salient visual method based on polarization imaging and applicable to underwater target detection, comprising the following steps: (A) acquiring auto-registration polarization images of the same underwater position at multiple angles; (B) performing underwater image restoration based on polarization information; (C) extracting global texture features; (D) extracting color features based on global contrast; (E) fusing visual saliency features; (F) performing saliency map optimization and target extraction based on the target center and the gray gravity center; and (G) performing threshold segmentation on a final saliency map to realize underwater target detection. Salience optimization is realized by use of the target center probability, image gray gravity center and space smoothness. The background is further restrained, and the foreground is highlighted. High detection rate and high identification rate are achieved for target detection in a complicated water environment, and the real-time requirement is satisfied. The method has a good application prospect.

Description

technical field [0001] The invention relates to the technical field of underwater target detection, in particular to a saliency vision method suitable for underwater target detection based on polarization imaging. Background technique [0002] Underwater target detection is a key technology to ensure the development of marine resources, fish detection, marine engineering construction, river dredging port safety monitoring, underwater pipeline safety and major water conservancy project safety monitoring. Affected by complex and changeable natural environments such as light, water quality, fluid dynamics, and climate conditions, traditional optical imaging to obtain target light intensity or spectral signals is easily overwhelmed by noise, resulting in lack of imaging target information, increasing ambiguity and randomness, and target characteristics Weak and difficult to characterize, resulting in low detection rate and low recognition rate of existing underwater target detec...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the existing salient target detection model, which lacks polarization information reflecting the surface characteristics of the target, has discontinuous salient regions, large-area background false detection, and high computational complexity.

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