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Range Gated Imaging System for Underwater Robotic Vehicle

C. S. Tan, Andrzej Śluzek, G. Seet G. L., Tianyu Jiang

发表年份
2006
引用次数
33

摘要

This paper introduces the work that has been done to improve the underwater visibility from Underwater Robotic Vehicle (URV) for sub-sea inspection and repair missions. It is undertaken as part of a research program to develop an underwater imaging system in turbid water condition. Images associated with underwater imaging systems are frequently degraded due to absorption and scattering effects from its underwater environment. The absorption effect reduces the signal strength, and the latter effect reduces both signal strength and image resolution. In order to improve the underwater visibility in turbid conditions, general design considerations of the imaging system are planned in two stages, namely: hardware upgrading and system optimization. We demonstrate this concept by improving the underwater visibility with an advanced technique -evelopment range gated imaging system (hardware upgrading), and the optimization stage in terms of tail-gating and image processing techniques. Tail-gating is realized by a delay in camera gating towards the tail of Reflected Image Temporal Profile (RITP). It is followed by Contrast Limited Adaptive Histogram Equalization (CLAHE) to further enhance the range-gated images. A quantitative image quality measure, Modified Fidelity Index (MF), is used to evaluate the enhanced imaging techniques. The measure is based on 2 dimensional grayscale images of USAF (United State Air Force) targets. These targets have been used extensively in underwater imaging system development. It has resolution bars in various frequencies and arrangement, which enable spatial frequencies and signal strength analysis.

关键词

UnderwaterComputer scienceVisibilityImage qualityGrayscaleComputer visionSIGNAL (programming language)Artificial intelligenceAdaptive histogram equalizationImage resolution

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