Add to ORKGThe use of fuzzy sets in pattern recognition enables for a new approach to surface inspection. This is especially convenient if the surfaces to be classified are not clearly distinguishable. The method is characterized by using a multivariate parametric membership function for fuzzy classes and has been already applied to solve various problems of diagnostics and process monitoring
The characterization of defects in materials constitutes a major area of research emphasis. Characte...
Abstract: In the present work are investigated 12 histogram and statistical features for analysis of...
Die Arbeit ordnet sich in das Gebiet der unscharfen Klassifikation ein und stellt im Detail eine Wei...
The well-tried method of fuzzy classification is extended to hierarchical class structures to allow ...
The Fuzzy-Pattern-Classification is a useful approach for modelling of complex nonlinear systems. A ...
The production of printing goods is laborious. Furthermore, the print quality, especially in banknot...
An image analysis method for real-time surface blemish detection using passive imagery and fuzzy set...
When determining the degree of coincidence of any multi-feature obtained information, received in th...
The use of supervised pattern recognition technologies for automation in the manufacturing environme...
summary:Fuzzy set theory, a recent generalization of classical set theory, has attracted the attenti...
Abstract:- In this paper we propose a new adaptation of the Fuzzy Pattern Matching (FPM) to build a ...
In this article we describe a new fuzzy supervised classification method that is a modification of t...
The detection, recognition and classification of features in a digital image is an important compone...
This research investigated how Artificial Intelligence techniques could be applied to industrial web...
Synthetic surfaces, in particular polymer structures, which are used for electronic components, have...
The characterization of defects in materials constitutes a major area of research emphasis. Characte...
Abstract: In the present work are investigated 12 histogram and statistical features for analysis of...
Die Arbeit ordnet sich in das Gebiet der unscharfen Klassifikation ein und stellt im Detail eine Wei...
The well-tried method of fuzzy classification is extended to hierarchical class structures to allow ...
The Fuzzy-Pattern-Classification is a useful approach for modelling of complex nonlinear systems. A ...
The production of printing goods is laborious. Furthermore, the print quality, especially in banknot...
An image analysis method for real-time surface blemish detection using passive imagery and fuzzy set...
When determining the degree of coincidence of any multi-feature obtained information, received in th...
The use of supervised pattern recognition technologies for automation in the manufacturing environme...
summary:Fuzzy set theory, a recent generalization of classical set theory, has attracted the attenti...
Abstract:- In this paper we propose a new adaptation of the Fuzzy Pattern Matching (FPM) to build a ...
In this article we describe a new fuzzy supervised classification method that is a modification of t...
The detection, recognition and classification of features in a digital image is an important compone...
This research investigated how Artificial Intelligence techniques could be applied to industrial web...
Synthetic surfaces, in particular polymer structures, which are used for electronic components, have...
The characterization of defects in materials constitutes a major area of research emphasis. Characte...
Abstract: In the present work are investigated 12 histogram and statistical features for analysis of...
Die Arbeit ordnet sich in das Gebiet der unscharfen Klassifikation ein und stellt im Detail eine Wei...