Soft Computing and Image Analysis
Vito Di Gesù · Studies in fuzziness and soft computing · 2000
The paper describes a soft approach to solve image analysis problems. Theory of fuzzy-sets has been used to implement most of the algorithms described in the paper. Soft approaches can be useful to extend mathematical morphology operators on gray level images and to describe the shape of dotted objects. Examples on real data are also provided. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.