Underwater object detection technology based on polarization image fusion

Abstract

The performance of the traditional underwater optical imaging systems is ultimately limited by the absorption and scattering properties of the water substance. Polarimetric imaging can be used to remove degradation effects, and can be applied to high-level vision tasks, such as object classification and recognition and camouflage identification, etc. The method of improving contrast was presented by polarization imaging. The polarization images when the angle of polarization are 0°, 45°, 90° and 135°, the gray levels of the images are calculated by program. There are much complementary and redundancy information among the polarization images. According to the character of parameter I of stokes vector, degree of linear polarization (DoLP) and the angle of polarization (AoP), A RGB false color based polarimetric images fusion are given to enhance the contrast.