Authors:
Jeremy Jover
;
Vincent Bombardier
and
Andre Thomas
Affiliation:
Université de Lorraine and CNRS, France
Keyword(s):
Virtual Quality, RX Computed Tomography, Information Fusion, Fuzzy Operators, Choquet Integral, Divergent Process.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computational Intelligence
;
Computer-Supported Education
;
Domain Applications and Case Studies
;
Fuzzy Information Processing, Fusion, Text Mining
;
Fuzzy Systems
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Industrial, Financial and Medical Applications
;
Methodologies and Methods
;
Neural Networks
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Theory and Methods
Abstract:
This paper presents a way to evaluate the wood product quality according to his tomographic image. The use of X ray computed tomography and ad-hoc software allows to have a representation of an item (a product) before the first cutting operation. From this representation, singularity features are extracted and their impact on the product visual quality is assesed thanks to the Choquet integrals. Next, the visual quality is evaluated by merging singularity impacts and singularity number criterion using suitable operators. Three operators are compared to the mean operator which is the commonly used one when there are few knowledge on the decision process.