Title :
An object-oriented rule-based image segmentation system for underwater autonomous vehicles
Author :
Mussa, A.W. ; Marshall, S. ; Chapman, R.
Author_Institution :
Strathclyde Univ., Glasgow, UK
Abstract :
The state of the art in underwater robotics lags at least 10 years behind the corresponding technologies for land based robots. This is because the underwater environment presents an additional set of complex problems. The paper discusses the specific problems of an underwater environment and presents the required modelling criteria for a vision system designed to deal with these problems
Keywords :
computer vision; knowledge based systems; marine systems; mobile robots; object-oriented programming; image segmentation system; object-oriented; rule-based; underwater autonomous vehicles; underwater robotics; vision system;
Conference_Titel :
Image Processing and its Applications, 1992., International Conference on
Conference_Location :
Maastricht
Print_ISBN :
0-85296-543-5