The image capturing process still today introduces degradations that are unavoidable. The research community is compromised with this issue developing algorithms for the noise removal task. Most of ...the existing approaches in the literature are parametric, i.e. some information from the underlying model is required. However, there are situations in which this information cannot be captured accurately and the use of these approaches is dismissed. Therefore, we propose an approach where averaging functions are applied over different realizations of a parametric filter. Then, the required information for the parametric filter is extracted and combined from the different parameter configurations used. So, we give the possibility to use parametric approaches in situations where some information is missing. Results show that the averaging functions present promising outcomes for the nonstationary noise removal task.
Introducing keys and integrity rules in a fuzzy relational data model Guoqing Chen; Kerre, E.E.; Vandenbulcke, J.
1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No.96CH35929),
1996, Letnik:
1
Conference Proceeding
This paper discusses the fuzzy functional dependency (FFD), which is considered as integrity constraints and used to define /spl theta/-keys. Furthermore, weak/strong /spl theta/-entity integrity ...rules (/spl theta/-EIRs) are defined as a result of the extension of classical entity integrity rule, and /spl theta/-referential integrity rule (/spl theta/-RIR) is defined as a result of the extension of classical referential integrity rule. These results are deemed important, theoretically and practically, both for integrity constraint enforcement and for fuzzy database design.
Image quality evaluation Van der Weken, D.; Nachtegael, M.; Kerre, E.E.
6th International Conference on Signal Processing, 2002,
2002, Letnik:
1
Conference Proceeding
Objective quality measures or measures of comparison are of great importance in the field of image processing. These measures can be useful for the evaluation and comparison of different algorithms; ...designed to solve a particular problem. For example, one of the possible applications is the comparison of different filters for image noise reduction. It is well-known that classical quality measures, such as the MSE (mean square error) or the PSNR (peak signal to noise ratio), do not always correspond to visual observations. Therefore, several researchers are - and have been - looking for new quality measures, better adapted to human perception. The existing similarity measures are all pixel-based, and have therefore not always satisfactory results. To cope with this drawback, we propose a similarity measure based on a neighbourhood, so that the relevant structures of the images are observed very well. The new similarity measure is designed especially for use in image processing.
Technical and vocational education and training (TVET) are fundamental human rights, as articulated in Articles 23 and 26 of the Universal Declaration of Human Rights (United Nations, 1948) which ...relate to the right to work and education. The State is, thus, obligated to ensure that all learners have access to TVET, albeit in the formal school system, which is its most likely source in African countries.
Traditionally in fuzzy set theoretical frameworks linguistic hedges are modelled by technical operators lacking inherent meaning. We elaborate on a representation of modified linguistic expressions ...that takes into account mutual relationships between objects of the universe. Formally this is accomplished by modelling hedges by means of taking images under fuzzy relations: for ordering-based hedges orderings and strict orderings are used, while for weakening and intensifying hedges we propose to use fuzzy relations modelling approximate equality. Since fuzzy T-equivalence relations prove to be unsuitable for this purpose, resemblance relations are chosen instead. The resulting framework not only allows for a unified approach to the modelling of hedges but also endows them with an inherent semantics, thereby overcoming important shortcomings of the traditional approaches, as we will illustrate by means of several examples in numerical as well as non-numerical universes.
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