Fuzzy techniques in image processing
By Etienne E. Kerre, Mike Nachtegael. 2000
327 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/f6b14bd3a4dc50917f47555a982bb306e40c50f9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Joan Torrens
- Margarita Mas
- Miquel Monserrat
- Enric Trillas
- Dietrich Van der Weken
- Mike Nachtegael
- Etienne E. Kerre
- Wilfried Philips
In Computational Theory and Mathematics
- Margarita Mas
- Miquel Monserrat
- Enric Trillas
- Joan Torrens
- Dietrich Van der Weken
- Mike Nachtegael
- Etienne E. Kerre
- Wilfried Philips
In Management Science and Operations Research
- Joan Torrens
- Margarita Mas
- Miquel Monserrat
- Enric Trillas
- Dietrich Van der Weken
- Mike Nachtegael
- Etienne E. Kerre
- Didier Dubois
Citations in the corpus
- A fuzzy impulse noise detection and reduction method (2006, methodology): “I N the literature several (fuzzy and non-fuzzy) filters have been studied for impulse noise reduction [1]- [5].”
- A Survey on Fuzzy Implication Functions (2007, methodology): “Approaches starting from different notions of fuzzy sets inclusion, starting from the Minkowski addition, and the general logical framework based on the definitions of the fuzzy morphological operators: fuzzy dilation and fuzzy erosion (a good review on these ideas is given in [35]).”
- Noise reduction by fuzzy image filtering (2003, background): “HE application of fuzzy techniques in image processing is a promising research field [1].”