Laurent Wendling

Learn More
ÐThe fuzzy qualitative evaluation of directional spatial relationships (such as ato the right of,o ato the south of. . . ,o) between areal objects often relies on the computation of a histogram of angles, which is considered to provide a good representation of the relative position of an object with regard to another. In this paper, the notion of the(More)
Fuzzy set methods have been used to model and manage uncertainty in various aspects of image processing, pattern recognition, and computer vision. High-level computer vision applications hold a great potential for fuzzy set theory because of its links to natural language. Linguistic scene description, a language-based interpretation of regions and their(More)
In this paper, a method for matching complex objects in line-drawings is presented. Our approach is based on the notion of $\mathcal{F}$ -signatures, which are a special kind of histogram of forces [17,19,28]. Such histograms have low time complexity and describe signatures that are invariant to fundamental geometrical transformations such as scaling,(More)
In this paper, we present a method for symbol recognition based on the spatio-structural description of a ‘vocabulary’ of extracted visual elementary parts. It is applied to symbols in electrical wiring diagrams. The method consists of first identifying vocabulary elements into different groups based on their types (e.g., circle, corner ). We then compute(More)
A new method for combining shape descriptors based on a behavior study from a learning set is proposed in this paper. Each descriptor is applied on several clusters of objects or symbols. For each cluster and for any descriptor a pertinent map is directly carried out from the learning database. Then existing conflicts are assessed and integrated in such a(More)
This paper presents a novel approach to normalize binary shapes which is based on the Radon transform. The key idea of the paper is an original adaptation of the Radon transform. The binary shape is projected in Radon space for different levels of the (3-4) distance transform. This decomposition gives rise to a representation which has a nice behavior with(More)