Fusion of spatial relationships for guiding recognition, example of brain structure recognition in 3D MRI
Spatial relations play an important role in recognition of structures embedded in a complex
environment and for reasoning under imprecision. Several types of relationships can be …
environment and for reasoning under imprecision. Several types of relationships can be …
Representation and fusion of heterogeneous fuzzy information in the 3D space for model-based structural recognition—application to 3D brain imaging
We present a novel approach to model-based pattern recognition where structural
information and spatial relationships have a most important role. It is illustrated in the …
information and spatial relationships have a most important role. It is illustrated in the …
Fuzzy spatial relation ontology for image interpretation
The semantic interpretation of images can benefit from representations of useful concepts
and the links between them as ontologies. In this paper, we propose an ontology of spatial …
and the links between them as ontologies. In this paper, we propose an ontology of spatial …
Spatial organization in 2D segmented images: representation and recognition of primitive spatial relations
K Miyajima, A Ralescu - Fuzzy Sets and Systems, 1994 - Elsevier
Object recognition and scene analysis tasks can be greatly enhanced when information
about spatial organization in an image is available. Moreover, for recognition of complex …
about spatial organization in an image is available. Moreover, for recognition of complex …
Fuzzy modeling and evaluation of the spatial relation “Along”
The analysis of spatial relations among objects in an image is a important vision problem
that involves both shape analysis and structural pattern recognition. In this paper, we …
that involves both shape analysis and structural pattern recognition. In this paper, we …
Description of brain internal structures by means of spatial relations for MR image segmentation
This paper presents a method for segmenting internal brain structures in MR images. It
introduces prior information in an original way through descriptions of the spatial …
introduces prior information in an original way through descriptions of the spatial …
Fusion of numerical and structural image information in medical imaging in the framework of fuzzy sets
I Bloch - Fuzzy Systems in Medicine, 2000 - Springer
Fuzzy sets theory provides a good theoretical basis to represent imprecision of the
information, at different levels of representation. It constitutes an unified framework for …
information, at different levels of representation. It constitutes an unified framework for …
Modeling and measuring the spatial relation “along”: Regions, contours and fuzzy sets
The analysis of spatial relations among objects in an image is an important vision problem
that involves both shape analysis and structural pattern recognition. In this paper, we …
that involves both shape analysis and structural pattern recognition. In this paper, we …
Integration of fuzzy spatial relations in deformable models—Application to brain MRI segmentation
This paper presents a general framework to integrate a new type of constraints, based on
spatial relations, in deformable models. In the proposed approach, spatial relations are …
spatial relations, in deformable models. In the proposed approach, spatial relations are …
[PDF][PDF] From Generic Knowledge to Specific Reasoning for Medical Image Interpretation Using Graph based Representations.
In several domains of spatial reasoning, such as medical image interpretation, spatial
relations between structures play a crucial role since they are less prone to variability than …
relations between structures play a crucial role since they are less prone to variability than …