Relaxation labelling algorithms — a review
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
The literature pertaining to relaxation labelling is surveyed and the important theoretical advances and the interesting applications for which it has proven useful are highlighted.
Abstract
An important research topic in image processing and image interpretation methodology is the development of methods to incorporate contextual information into the interpretation of objects. Over the last decade, relaxation labelling has been a useful and much studied approach to this problem. It is an attractive technique because it is highly parallel, involving the propagation of local information via iterative processing. The paper. surveys the literature pertaining to relaxation labelling and highlights the important theoretical advances and the interesting applications for which it has proven useful.
