Using a fuzzy morphological structural element for image segmentation

Management of uncertainty is an important problem in the development of automated systems for scene interpretation, particularly in image segmentation algorithms. In this paper a fuzzy-based morphological structural element is introduced to be used in image segmentation based on pixel classification, with the aim to reduce uncertainty problems. The shape, size and structure of this type of element have been defined in order to reduce pixel misclassifications providing boundaries among regions as accurately as possible.

[1]  James M. Keller,et al.  Fuzzy patch label relaxation in bone marrow cell segmentation , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

[2]  James M. Keller,et al.  Fuzzy Models and Algorithms for Pattern Recognition and Image Processing , 1999 .

[3]  James M. Keller,et al.  White blood cell detection in bone marrow images , 1999, 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).

[4]  J.M. Keller,et al.  Fuzzy logic and the principle of least commitment in computer vision , 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.

[5]  R. Yager Families of OWA operators , 1993 .