The task of segmenting cell nuclei in microscope images is a classical image analysis problem. The accurate nuclei segmentation may contribute to development of successful system ...
Grigory Begelman, Eran Gur, Ehud Rivlin, Michael R...
We comment on the learning properties of the fuzzy backpropagation algorithm introduced in Stoeva and Nikov (Fuzzy Sets and Systems 112 (2000) 27). c 2001 Elsevier Science B.V. Al...
It is introduced a new concept: H-sets which generalises the notion of fuzzy sets and is based on the concept of hemilattice. Then, we extend the attribute-value conceptual spaces ...
Abstract. Both fuzzy set theory and rough set theory play an important role in data-driven, systems modelling and analysis. They have been successfully applied to building various ...
In this paper enhancement of a digital image is done by detecting the noisy and noiseless region of the image. The noisy regions are smoothed and the noiseless regions are sharpen...