Ekstrakcja obiektów z obrazów przy użyciu gęstości krawędzi jako podstawy algorytmu GrabCut

Abstract

When we think about images, we usually think about that what we can detect by our eyes. It is easy for us, because all of the hard work is already done by our own brain. Human brain extracts from images all information which is currently important. It is not possible to mirror the whole natural process, because now we do not posses enough knowledge about our brain. Nevertheless, a lot of research is devoted to achieve even part of the targets. This is a small steps strategy, so we are not able to do all at once, but we try to test different approaches, combine and develop new digital images processing algorithms. In this paper we present a DOE (Density of Edges) algorithm and its application as a basis for the GrubCut algorithm. We also present the whole preprocessing approach and which algorithms were used. Results of that work will be used and integrated in SIA Semantic Image Analysis project developed by authors.