Fuzzy Sets and Systems - Special issue on fuzzy methods for computer vision and pattern recognition
Fuzzy distances and image processing
SAC '95 Proceedings of the 1995 ACM symposium on Applied computing
Maintaining knowledge about temporal intervals
Communications of the ACM
Fuzzy spatial relation ontology for image interpretation
Fuzzy Sets and Systems
Spatial Relations Analysis by Using Fuzzy Operators
ICCS 2009 Proceedings of the 9th International Conference on Computational Science
Fuzzy description of topological relations I: a unified fuzzy 9-intersection model
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Statistical modeling of complex backgrounds for foreground object detection
IEEE Transactions on Image Processing
Combined topological and directional relations based motion event predictions
PReMI'11 Proceedings of the 4th international conference on Pattern recognition and machine intelligence
| Hi-index | 0.00 |
Spatial relations are essential for understanding the image configuration and modeling common sense knowledge In most of existing methods, topological, directional and distance spatial relations are computed separately as they have separate application domains Introduction of Temporal Geographic Information System (TGIS), spatio-temporal reasoning and study of spatio-temporal relations required the computation of topological and metric spatial relations together. In this paper the fuzzy topological and directional relations are integrated with the help of fuzzy Allen relations and directions are evaluated by specific fuzzy membership functions A matrix of fuzzy relations is developed where the topological and directional relations are integrated for a 2D scene Experiments are performed to validate the proposed method The results are analyzed and interpreted from histograms.