Vision based tracking for unmanned underwater vehicles

This paper presents some applicati .ons of image processing algorithms for underwater 4D environments. Unlike land based systems, underwater systems have got less attention in the past due to hardware restriction. In this paper we introduce a filtering technique for underwater images to reduce certain unwanted features, which are unique to the underwater environment. Once these features are reduced to some extent it is possible to use the vision based algorithms available for land systems.