Deep learning based underwater image segmentation and object recognition (available)

In the past decade, advances in marine object recognition have been dramatically boosted for monitoring of underwater ecosystems. Traditional statistical analysis and ocean model simulation heavily depend on the availability of visual features. However, Due to light attenuation and scattering problem, the underwater images captured by optical imaging system are heavily degraded. As a result, it brings a big barrier for underwater object detection. The aim of this project is to develop new deep learning models for undertaking image enhancement and segmentation, and object recognition in the complex underwater environment.