Applying soft computing in defining spatial relations
Fuzzy Convexity and Connectivity
Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
Finding face features in color images using fuzzy hit-or-miss transform
FS'08 Proceedings of the 9th WSEAS International Conference on Fuzzy Systems
Interval based morphological colour image processing
NMA'06 Proceedings of the 6th international conference on Numerical methods and applications
Inverses and quotients of mappings between ordered sets
Image and Vision Computing
Hi-index | 0.00 |
There exist several methods to extend binary morphology to grey-scale images. One of these methods is based on fuzzy logic and fuzzy set theory. Another approach starts from the complete lattice framework for morphology and the theory of adjunctions. In this paper, both approaches are combined. The basic idea is to use (fuzzy) conjunctions and implications which are adjoint in the definition of dilations and erosions, respectively. This gives rise to a large class of morphological operators for grey-scale images. It turns out that this class includes the often used grey-scale Minkowski addition and subtraction.