Coral ecosystem not only breeds abundant organisms, but also deem to be a very important fishery and tourism resources. The reduction of coral will also have a bad impact on the marine. Scattering and absorption leads to complicate the capturing process of a clear image. Aiming to the needs of marine ecological diversity research, in addition to the privilege of underwater polarization imaging, an underwater binocular polarization vision system is proposed in this paper. This system consists of underwater vehicle, vision acquisition system and image processing software. The internal image acquisition hardware module made up out of microcomputer, two polarization camera modules and information transmission module. While the dynamic systems of underwater vehicle consist of six propellers. The proposed system realizes a real-time control and transmit polarization image through cable connected to information transmission module. Due to its autonomous function, it is capable to achieve missions without diver support. After the system is designed and implemented, a large number of underwater coral images are captured and tested at the offshore of Shenzhen to build our polarization image database. This database classified into 15 different kinds of offshore coral, which provides data support for subsequent algorithms such as clear imaging algorithm based on polarization vision. Finally, clear image processing algorithm is carried out with the captured data.
Outdoor scenes are usually affected by the atmosphere phenomena (i.e.: Haze). The light scattering phenomena cause the skylight polarization and the colors of the sky. The atmosphere particles are much larger in cloudy and hazy conditions, leading to distort the polarization information in a much larger way. The distorted pattern has a very low or no information of neutral points of the sky, this causes a distorted pattern of the angle of polarization. This paper investigates the problems in acquiring polarization information under different atmospheric conditions and minimizes the effect of atmosphere particles in skylight polarization parameters. This paper proposed a new comprehensive method based on skylight color mixing to obtain accurate skylight polarization parameters, also determine the strong dependency of polarization on the wavelength of light. The experimental results show that by comparing the proposed method with the conventional methods, the proposed method improves the polarization patterns that used in obtaining accurate skylight polarization parameters by eliminating the effect of noise in cloudy and hazy days.
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