I. Bloch, Fuzzy relative position between objects in image processing: a morphological approach, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.21, issue.7, pp.657-664, 1999.
DOI : 10.1109/34.777378

I. Bloch, Fuzzy spatial relationships for image processing and interpretation: a review, Image and Vision Computing, vol.23, issue.2, pp.89-110, 2005.
DOI : 10.1016/j.imavis.2004.06.013

L. Breiman, Random Forests, Machine Learning, vol.45, issue.1, pp.5-32, 2001.
DOI : 10.1023/A:1010933404324

A. R. Buck, J. M. Keller, and M. Skubic, A Memetic Algorithm for Matching Spatial Configurations With the Histograms of Forces, IEEE Transactions on Evolutionary Computation, vol.17, issue.4, pp.588-604, 2013.
DOI : 10.1109/TEVC.2012.2226889

R. M. Cesar, E. Bengoetxea, and I. Bloch, Inexact graph matching using stochastic optimization techniques for facial feature recognition, Object recognition supported by user interaction for service robots, pp.465-468, 2002.
DOI : 10.1109/ICPR.2002.1048339

M. Clément, M. Garnier, C. Kurtz, and L. Wendling, Color Object Recognition based on Spatial Relations between Image Layers, Proceedings of the 10th International Conference on Computer Vision Theory and Applications, pp.427-434, 2015.
DOI : 10.5220/0005291304270434

M. Clément, C. Kurtz, and L. Wendling, Bags of spatial relations and shapes features for structural object description, 2016 23rd International Conference on Pattern Recognition (ICPR), 2016.
DOI : 10.1109/ICPR.2016.7899929

M. Clément, A. Poulenard, C. Kurtz, and L. Wendling, Directional Enlacement Histograms for the Description of Complex Spatial Configurations between Objects, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.39, issue.12, p.2017
DOI : 10.1109/TPAMI.2016.2645151

O. Colliot, O. Camara, and I. Bloch, Integration of fuzzy spatial relations in deformable models???Application to brain MRI segmentation, Pattern Recognition, vol.39, issue.8, pp.1401-1414, 2006.
DOI : 10.1016/j.patcog.2006.02.022

URL : https://hal.archives-ouvertes.fr/hal-00878443

C. Cortes and V. Vapnik, Support-vector networks, Machine Learning, pp.273-297, 1995.
DOI : 10.1007/BF00994018

N. Dalal and B. Triggs, Histograms of Oriented Gradients for Human Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.886-893, 2005.
DOI : 10.1109/CVPR.2005.177

URL : https://hal.archives-ouvertes.fr/inria-00548512

A. Delaye and E. Anquetil, Learning of fuzzy spatial relations between handwritten patterns, International Journal of Data Mining, Modelling and Management, vol.6, issue.2, pp.127-147, 2014.
DOI : 10.1504/IJDMMM.2014.063194

URL : https://hal.archives-ouvertes.fr/hal-00735545

M. Everingham, L. Van-gool, C. K. Williams, J. Winn, and A. Zisserman, The Pascal Visual Object Classes (VOC) Challenge, International Journal of Computer Vision, vol.73, issue.2, pp.303-338, 2010.
DOI : 10.1371/journal.pcbi.0040027

M. Garnier, T. Hurtut, and L. Wendling, Object Description Based on Spatial Relations between Level-Sets, 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)
DOI : 10.1109/DICTA.2012.6411730

URL : https://hal.archives-ouvertes.fr/hal-00756692

, International Conference on Digital Image Computing Techniques and Applications (DICTA), pp.1-7, 2012.

S. Lazebnik, C. Schmid, and J. Ponce, Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), pp.2169-2178, 2006.
DOI : 10.1109/CVPR.2006.68

URL : https://hal.archives-ouvertes.fr/inria-00548585

D. G. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004.
DOI : 10.1023/B:VISI.0000029664.99615.94

J. B. Macqueen, Some methods for classification and analysis of multivariate observations, Berkeley Symposium on Mathematical Statistics and Probability (BSMSP), pp.281-297, 1967.

P. Matsakis, J. M. Keller, L. Wendling, J. Marjamaa, and O. Sjahputera, Linguistic description of relative positions in images, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.31, issue.4, pp.573-88, 2001.
DOI : 10.1109/3477.938261

URL : https://hal.archives-ouvertes.fr/inria-00100498

P. Matsakis and L. Wendling, A new way to represent the relative position between areal objects, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.21, issue.7, pp.634-643, 1999.
DOI : 10.1109/34.777374

P. Matsakis, L. Wendling, and J. Ni, A General Approach to the Fuzzy Modeling of Spatial Relationships, Methods for Handling Imperfect Spatial Information, pp.49-74, 2010.
DOI : 10.1007/978-3-642-14755-5_3

K. Miyajima and A. Ralescu, Spatial organization in 2D segmented images : Representation and recognition of primitive spatial relations. Fuzzy Sets and Systems, pp.225-236, 1994.

K. Santosh, B. Lamiroy, and L. Wendling, Integrating vocabulary clustering with spatial relations for symbol recognition, International Journal on Document Analysis and Recognition (IJDAR), vol.28, issue.12, pp.61-78, 2014.
DOI : 10.1109/TPAMI.2006.254

K. Santosh, L. Wendling, and B. Lamiroy, BoR: BAG-OF-RELATIONS FOR SYMBOL RETRIEVAL, International Journal of Pattern Recognition and Artificial Intelligence, vol.28, issue.06, p.2014
DOI : 10.1109/TPAMI.2006.254

S. Tabbone and L. Wendling, Color and grey level object retrieval using a 3D representation of force histogram, Image and Vision Computing, vol.21, issue.6, pp.483-495, 2003.
DOI : 10.1016/S0262-8856(03)00016-7

URL : https://hal.archives-ouvertes.fr/inria-00099841

J. Zhang, M. Marszalek, S. Lazebnik, and C. Schmid, Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study, International Journal of Computer Vision, vol.36, issue.1, pp.213-238, 2007.
DOI : 10.1007/s11263-006-9794-4

URL : https://hal.archives-ouvertes.fr/inria-00548574