Abstract
Pattern recognition and 3D reconstruction require the sequential execution of a group of procedures. This necessitates the development of reasoning tools to perform the various operations. First, the defects of a ‘noisy’ image must be filtered. This is accomplished using differentiation and integration operators, which are divided into the categories of context-free, context dependent, global context dependent, and local context dependent.
Other methods include segmentation(isolating specific parts of the image), erosion, and ilatation, The image is then compressed mathematically and «recognized». The expert system uses the method of decision-making graphs to organize the representation and interpretation spaces in order to select the relevant methods and to execute them in the correct order.
Resume
La reconnaissance de formes et la reconstruction 3D nécessitent l’exécution séquentielle d’un groupe de procédures. Cela exige le développement d’outils de raisonnement afin d’exécuter les diverses opérations. Dans un premier temps, les défauts d’une image doivent être filtrés. Cette filtration est faite en utilisant les opérateurs d’intégration et de différentiation, qui se divisent en contextuels, non contextuels, dépendants du contexte global et du contexte local.
Il existe d’autres méthodes, comme la segmentation (isolation des parties spécifiques de l’image), l’érosion et la dilatation. L’image est compressée mathématiquement et “reconnue”.Le rôle du système expert, qui utilise la méthode des graphes décisionnels pour designer ses espaces de représentation et d—interprétation, est de sélectionner les méthodes nécessaires et de les exécuter dans le bon ordre.
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Reference
Allen R.P., Weiss D.G., Hayden J.H., Brown T.D., Fujiwake H., Simpson M., Gliding of movement of end bidimensional transport along single native microtubules from Squid axoplasms: evidence for an active role of microtubules in cytoplasmic transport, J.Cell.Biology, 100 (5), 1736–1752 (1985).
Andrews H.C., Kane J., Pratt W.K., Hadamard transform image coding, Proc.lEEE, 57 (1), 58–68 (1969).
Boisset N., Radermacher M., Grassucci R., Taveau J-C., Liu W., Lamy J., Frank J., Lamy, J.N., Three dimensional immunoelectron microscopy of scorpion hemocyanin labeled with amonoclonal fab fragment, J.Struct.Biol., 111, 234–244 (1993).
Bouhabdallah M., Gaudeau C., Kurc C., Longevialle C., Mallet C., Morand P., Thouvenot J., Automatic analysis of cineangiorcardiography, Computer in Cardiology, IEEE, (1975), 267.
Cohen, Feigenbaum, The handbook of Intelligence artificial, Heuristich Press, vol I II (1981).
Frank J., Liu W., Boisset N., Classification and 3D variance estimation: Complementary tools in the 3D reconstruction of the macromolecules, Proc. 10th Eur.Cong.Electron Microsc., 1, 427–429 (1992).
Gaudeau C., Thèse de biologie humaine sur la reconnaissance des états d’un système physiologique et ses processus aléatoires, Identification par des modèles stochastiques,Tours (1975).
Gaudeau C., Rossazza J-P., Système de traitement d’images par microordinateur: Application de 1 ‘analyse factorielle des correspondances à la reconstruction d’images 3D à partir d’images 2D prises sous des incidences inconnues, J.Microsc.Spectrosc.Electron., 12, 155–158 (1987).
Gaudeau C., Bosma M., Rossazza J-P., Spatial modelling and simulation of organized macromolecular structure by means of factor analysis of electron microscopy pictures, Mol. Phys. Chem. Biol., 1, 129–157 (1988).
Gaudeau C., Rossazza J-P., Normand, B., Gouthiere, L., Cassis, N., Application des systèmes experts en imagerie, 115e Congr.Nat.Soc.Savantes, 305–322 (1990).
Gaudeau, C., Routier, G., Diedzina, D., Longevialle, C., Image sequence processing and pattern recognition of bio-medical picture. Image sequence processing and dynamic scene analysis, 2 Springer-Verlag, Berlin, 625 (1983).
Laforge J.M., Classes méréologiques et construction logique. Doctorat de logique mathématique, Gand (1973).
Lambert, O., Boisset, N., Penczek, P., Lamy, J., Taveau, J-C., Frank, J., Lamy, J.N., An approach to the intramolecular localization of the thiol ester bonds in internal cavity of human a2-Macroglobulin based on correspondence analysis, J.Mol.Biol, 238 (1), 75–87 (1994).
Lambert, O., Boisset, N., Pochon, F., Detain, E., Lamy, J.N., Quaternary structure of OctopusVulygaris Hemocyanin. 3D reconstruction from frozen hydrated specimens and intramolecular location of functional units Ove and Ovb, J.Struct.Biol,l 12, 148–159 (1994).
Liu W., 3D variance of weighted back-projection reconstruction and its applications to the detection of 3D particles conformational changes Proc. 49th Ann. Meet. Electron Microsc.Soc.Am., 1, 542–543 (1991).
Penczek P., Radermacher M., Frank J., Three dimensional reconstruction of single particles embedded in ice, Ultramicroscopy, 40, 33–53 (1992).
Pentland A., Trevor D., Azarbayejani A., Sclaroff S., Towards machine vision in complex environments, 9ème Congrès de Reconnaissance des Formes et Intelligence Artificielle (1994).
Pratt, W.K., Digital Image Processing, John Wiley, New York (1978).
Rademacher, M., Three dimensional reconstruction of single particles of random and nonrandom tile series, J.Electron.Microsc.Tech., 2, 359–394 (1988).
Radermacher, M., Srivastava, S., Frank, J., The structure of the 50S ribosomal subunit from E.Coli in frozen hydrated preparation reconstructed with SECReT, Proc. 10th Eur.Cong.Electron Microsc., 3, 19–20 (1992).
Saxton W.O., Baumeister, W., The correlation averaging of a regularly arranged bacterial cell envelope protein, J.Microsc., 127(2), 127–138(1982).
Tanimoto S.L., Pavlidis T., The editing of picture segmentation using local analysis of graph, Comm.ACM, 20 (4), 223–229 (1977).
Travis J., Kenealy J., Allen R.P., Studies on the motivity offoramifera tomell. The dynamic microtubular skeleton of the reticulopodial network of allogromia laticolaris, J.Cell.Biology, 97(6), 1668–1676(1983).
van Heel M., Multivariate statistical classification of noisy images (randomly oriented biological macromolecules), Ultramicroscopy, 13, 165–184 (1984).
van Heel M., Franck J., Use of multivariate statistics in analysing the images of biological macromolecules, Ultramicroscopy, 6, 187–194 (1981).
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Gaudeau, C., Rakotomalala, V., Carimalo, G., Bergamini, JF. (1996). Expert System of Image Processing-Applications to the Reconstruction of 3D Images from 2D Images. In: Dubois, JE., Gershon, N. (eds) Modeling Complex Data for Creating Information. Data and Knowledge in a Changing World. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-80199-0_25
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DOI: https://doi.org/10.1007/978-3-642-80199-0_25
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