Sequential model-based segmentation and recognition of image structures driven by visual features and spatial relations

Computer Vision and Image Understanding

Volumn 116, Issue 1, 2012, Pages 146-165

  Fouquier, Geoffroy ^a   Atif, Jamal ^b   Bloch, Isabelle ^a  

^a INSTITUT TELECOM   (France)

^b INRIA   (France)

Author keywords

Fuzzy sets; Graph representations; Knowledge based system; Medical images; MRI; Segmentation; Spatial relations

Indexed keywords

BRAIN STRUCTURE; ERROR PROPAGATION; GRAPH REPRESENTATIONS; IMAGE STRUCTURES; MAGNETIC RESONANCE IMAGES; MEDICAL IMAGES; MODEL-BASED SEGMENTATION; OPTIMIZATION CRITERIA; SALIENCY MAP; SEQUENTIAL SEGMENTATION; SPATIAL INFORMATIONS; SPATIAL KNOWLEDGE; SPATIAL RELATIONS; VISUAL ATTENTION; VISUAL FEATURE;

FEATURE EXTRACTION; FUZZY SETS; KNOWLEDGE BASED SYSTEMS; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; OPTIMIZATION;

IMAGE SEGMENTATION;

EID: 81355133150     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2011.09.004     Document Type: Article

References (38)

1. I. Bloch, T. Géraud, and H. Maître Representation and fusion of heterogeneous fuzzy information in the 3D Space for model-based structural recognition - application to 3D brain imaging Artif. Intell. 148 2003 141 175
2. O. Colliot, O. Camara, and I. Bloch Integration of fuzzy spatial relations in deformable models - application to brain MRI segmentation Pattern Recogn. 39 2006 1401 1414 (Pubitemid 44269319)
3. O. Colliot, Representation, évaluation et utilisation de relations spatiales pour l'interprétation d'images. Applications la reconnaissance de structures anatomiques en imagerie médicale, Ph.D. thesis, ENST, 2003.
4. U. Neisser, Cognitive psychology, Appleton-Century-Crofts, 1967.
5. A. Treisman, and G. Gelade A feature-integration theory of attention Cognitive Psychol. 12 1980 97 136
6. A. Treisman Preattentive processing in vision Comput. Vision Graph. Image Process. 31 2 1985 156 177 doi: http://www.dx.doi.org/10.1016/S0734-189X(85) 80004-9
7. D. Crevier, and R. Lepage Knowledge-based image understanding systems: a survey Comput. Vis. Image Understand. 67 2 1997 161 185 10.1006/cviu.1996.0520 (Pubitemid 127435337)
8. F. Le Ber, J. Lieber, A. Napoli, Les systmes base de connaissances, in: J. Akoka, I. Comyn Wattiau (Eds.), Encyclopédie de l'informatique et des systmes d'information, Vuibert, 2006, pp. 1197-1208.
9. J. Talairach, P. Tournoux, Co-Planar Stereotaxic Atlas of the Human Brain 3-Dimensional Proportional System: An Approach to Cerebral Imaging, Thieme, 1988.
10. D. Bowden, and M. Dubach Neuroanatomical Nomenclature and Ontology 2005 John Wiley and Sons, Inc. Ch. Databasing the Brain
11. C. Rosse, J.L. Mejino, Anatomy Ontologies for Bioinformatics: Principles and Practice, Springer, 2007, Ch. The Foundational Model of Anatomy Ontology, pp. 59-117.
12. J. Atif, C. Hudelot, O. Nempont, N. Richard, B. Batrancourt, E. Angelini, I. Bloch, GRAFIP: A Framework for the Representation of Healthy and Pathological Cerebral Information, in: IEEE International Symposium on Biomedical Imaging (ISBI), Washington DC, USA, 2007, pp. 205-208. (Pubitemid 350141061)
13. D. Conte, P. Foggia, C. Sansone, and M. Vento Thirty years of graph matching in pattern recognition Int. J. Pattern Rec. Art. Intell. 18 3 2004 265 298
14. A. Perchant, Morphisme de graphes d'attributs flous pour la reconnaissance structurelle de scnes, Ph.D. thesis, Ecole nationale supérieure des télécommunications, Paris, France, 2000.
15. A. Perchant, and I. Bloch Fuzzy morphisms between graphs Fuzzy Sets Syst. 128 2 2002 149 168 (Pubitemid 34524514)
16. E. Bengoetxea, P. Larranaga, I. Bloch, A. Perchant, and C. Boeres Inexact graph matching by means of estimation of distribution algorithms Pattern Recogn. 35 2002 2867 2880
17. R. Cesar, E. Bengoetxea, I. Bloch, and P. Larranaga Inexact graph matching for model-based recognition: evaluation and comparison of optimization algorithms Pattern Recogn. 38 2005 2099 2113 (Pubitemid 41214647)
18. A. Deruyver, Y. Hodé, E. Leammer, J.-M. Jolion, Adaptive pyramid and semantic graph: knowledge driven segmentation, in: Graph-Based Representations in Pattern Recognition: 5th IAPR International Workshop, vol. 3434, Springer-Verlag GmbH, Poitiers, France, 2005, pp. 213-222. (Pubitemid 41273845)
19. A. Deruyver, Y. Hodé, and L. Brun Image interpretation with a conceptual graph: labeling over-segmented images and detection of unexpected objects Artif. Intell. 173 14 2009 1245 1265 doi: http://www.dx.doi.org/10.1016/ j.artint.2009.05.003.
20. O. Nempont, Modles structurels flous et propagation de contraintes pour la segmentation et la reconnaissance d'objets dans les images. application aux structures normales et pathologiques du cerveau en IRM, Ph.D. thesis, Ecole Nationale Supérieure des Télécommunications (Mars 2009).
21. O. Nempont, J. Atif, E. Angelini, I. Bloch, Structure Segmentation and Recognition in Images Guided by Structural Constraint Propagation, in: European Conference on Artificial Intelligence ECAI, Patras, Greece, 2008, pp. 621-625.
22. I. Bloch Fuzzy spatial relationships for image processing and interpretation: a review Image Vision Comput 23 2 2005 89 110
23. D. Dubois, and H. Prade Fuzzy Sets and Systems: Theory and Applications 1980 Academic Press New-York
24. I. Bloch Fuzzy relative position between objects in image processing: a morphological approach IEEE Trans. Pattern Anal. Mach. Intell. 21 7 1999 657 664
25. J. Atif, C. Hudelot, G. Fouquier, I. Bloch, E. Angelini, From generic knowledge to specific reasoning for medical image interpretation using graph-based representations, in: International Joint Conference on Artificial Intelligence IJCAI'07, Hyderabad, India, 2007, pp. 224-229.
26. A. Treisman Search, similarity, and integration of features between and within dimensions J. Exp. Psychol.: Hum. Percept. Perform. 17 3 1991 652 676
27. C. Healey, Perception in visualization, available at: http://www.csc.ncsu.edu/faculty/healey/PP/index.html (2007).
28. L. Itti, C. Koch, and E. Niebur A model of saliency-based visual attention for rapid scene analysis IEEE Trans. Pattern Anal. Mach. Intell. 20 11 1998 1254 1259 (Pubitemid 128742001)
29. C. Koch, and S. Ullman Shifts in selective visual attention: towards the underlying neural circuitry Hum. Neurobiol. 4 4 1985 219 227 (Pubitemid 16176695)
30. J.-F. Mangin, O. Coulon, V. Frouin, Robust brain segmentation using histogram scale-space analysis and mathematical morphology, in: Medical Image Computing and Computer-Assisted Interventation, 1998, p. 1230.
31. P. Thevenaz, T. Blu, and M. Unser Interpolation revisited IEEE Trans. Med. Imag. 19 7 2000 739 758
32. T.R. Reed Motion analysis using the 3D Gabor transform IEEE 1997 506 509
33. Y. Wang, and C. Chua Face recognition from 2D and 3D images using 3d gabor filters Image Vision Comput 23 2005 1018 1028 (Pubitemid 41344184)
34. L. Itti, and C. Koch Feature combination strategies for saliency-based visual attention systems J. Electr. Imag. 10 1 2001 161 169 (Pubitemid 32279366)
35. Y. Rubner, C. Tomasi, L. Guibas, A metric for distributions with applications to image databases, in: Sixth International Conference on Computer Vision, Bombay, India, 1998, pp. 59-66.
36. C. Villani, Topics in optimal transportation, American Math. Soc., 2003.
37. F. Poupon, J.-F. Mangin, D. Hasboun, C. Poupon, I. Magnin, V. Frouin, Multi-object deformable templates dedicated to the segmentation of brain deep structures, in: Medical Image Computing and Computer-Assisted Interventation, vol. 1496, 2008, p. 1134.
38. B. Bouchon-Meunier, M. Rifqi, and S. Bothorel Towards general measures of comparison of objects Fuzzy Sets Syst. 84 2 1996 143 153 (Pubitemid 126667517)