Notes on a Linguistic Description as the Basis for Automatic Image Understanding

Ryszard Tadeusiewicz; Marek Ogiela; Piotr Szczepaniak

doi:10.2478/v10006-009-0013-7

.blurhash-client-img { display: none !important; }

Notes on a Linguistic Description as the Basis for Automatic Image Understanding

International Journal of Applied Mathematics and Computer Science

Volume 19 (2009): Issue 1 (March 2009)

By: Ryszard Tadeusiewicz, Marek Ogiela and Piotr Szczepaniak

Open Access

|Apr 2009

Abstract

The main paradigm of image understanding and a concept for its practical machine realisation are presented. The crucial elements of the presented approach are the formalisation of human knowledge about the class of images that are to be automatically interpreted, a linguistic description and the realization of cognitive resonance.

References

Antoniou, G. and Harmelen, van F. (2008). A Semantic Web Primer, MIT Press, Cambridge, MA.
Search in Google Scholar
Bowyer, K.W., Hollingsworth, K. and Flynn, P.J. (2008). Image understanding for iris biometrics: A survey, Computer Vision and Image Understanding 110(2): 281-307.10.1016/j.cviu.2007.08.005
Search in Google Scholar
Christensen, H. (2003). Cognitive (Vision) Systems, ERCIM News No. 53, Special Theme: Cognitive Systems, available at http://www.ercim.org/publication/Ercim/News/enw53/christensen.html
Search in Google Scholar
Drummond, T. and Caelli, T. (2000). Learning task-specific object recognition and scene understanding, Computer Vision and Image Understanding 80(3): 315-348.10.1006/cviu.2000.0882
Search in Google Scholar
Hilton, A., Fua, P. and Ronfard, R. (2006). Modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour, Computer Vision and Image Understanding 104(2-3): 87-89.10.1016/j.cviu.2006.09.002
Search in Google Scholar
Homenda, W. (2006). Automatic understanding of images: Integrated syntactic and semantic analysis of music notation, Proceedings of the International Joint Conference on Neural Networks, Vancouver, Canada, pp. 3026-3033.
Search in Google Scholar
Leś, Z. and Tadeusiewicz, R. (2000). Shape understanding system, polygon class processing methods, in M.H. Hamza (Ed.), Signal Processing and Communications, IASTED/ACTA Press, Anaheim, pp. 447-454.
Search in Google Scholar
Przelaskowski, A., Podsiadły, Marczykowska T., Wroblewska A., Boniński, P. and Bargiel, P. (2007). Computer-aided interpretation of medical images: Mammography case study, Machine Graphics & Vision 16(3/4): 347-375
Search in Google Scholar
Ogiela, L., Tadeusiewicz, R. and Ogiela, M.R. (2008). Cognitive techniques in medical information systems, Computers in Biology and Medicine 38(4): 501-507.10.1016/j.compbiomed.2008.01.017
Search in Google Scholar
Ogiela, M.R. and Tadeusiewicz, R. (2001). Image understanding methods in biomedical informatics and digital imaging, Journal of Biomedical Informatics, Computers and Biomedical Research 34(6): 377-386.10.1006/jbin.2002.1034
Search in Google Scholar
Ogiela, M.R. and Tadeusiewicz, R. (2008). Modern Computational Intelligence Methods for the Interpretation of Medical Image, Springer-Verlag, Berlin.10.1007/978-3-540-75402-2
Search in Google Scholar
Ogiela, M.R. and Tadeusiewicz, R. (2003). Artificial intelligence structural imaging techniques in visual pattern analysis and medical data understanding, Pattern Recognition 36(10): 2441-2452.10.1016/S0031-3203(03)00089-X
Search in Google Scholar
Ogiela, M.R., Tadeusiewicz, R. and Ogiela, L. (2006). Image languages in intelligent radiological palm diagnostics, Pattern Recognition 39(11): 2157-2165.10.1016/j.patcog.2006.03.014
Search in Google Scholar
Ogiela, M.R., Tadeusiewicz, R. and Trzupek, M. (2008). Graph-based semantic description and information extraction in analysis of 3D coronary vessels visualizations, in C. Badica, M. Paprzycki (Eds.), Advances in Intelligent and Distributed Computing, Springer-Verlag, Berlin, pp. 303-309.10.1007/978-3-540-74930-1_34
Search in Google Scholar
Ogiela, L., Tadeusiewicz, R. and Ogiela, M.R. (2006a). Cognitive approach to visual data interpretation in medical information and recognition systems, in N. Zheng, X. Jiang, X. Lan (Eds.), Advances in Machine Vision, Image Processing, and Pattern Analysis, Springer-Verlag, Berlin, pp. 244-250.10.1007/11821045_26
Search in Google Scholar
Ogiela, L., Tadeusiewicz, R. and Ogiela, M.R. (2006b). Cognitive computing in intelligent medical pattern recognition systems, in D.-S. Huang, K. Li, G.W. Irwin (Eds.), Intelligent Control and Automation, Springer-Verlag, Berlin, pp. 851-856.10.1007/978-3-540-37256-1_108
Search in Google Scholar
Ogiela, M.R., Tadeusiewicz, R. and Ogiela, L. (2006c). Graph image language techniques supporting radiological, hand image interpretations, Computer Vision and Image Understanding 103(2): 112-120.10.1016/j.cviu.2006.04.001
Search in Google Scholar
Ogiela, M.R., Tadeusiewicz, R. and Ogiela, L. (2006d). Image languages in intelligent radiological palm diagnostics, Pattern Recognition 39(11): 2157-2165.10.1016/j.patcog.2006.03.014
Search in Google Scholar
Sieckenius, de Suza C. (2005). The Semiotic Engineering of Human-Computer Interactions, MIT Press, Cambridge, MA.
Search in Google Scholar
Tadeusiewicz, R. and Ogiela, M.R. (2002). Automatic understanding of medical images—New achievements in syntactic analysis of selected medical images, Biocybernetics and Biomedical Engineering 22(4): 17-29.
Search in Google Scholar
Tadeusiewicz, R. and Ogiela, M.R. (2004). Medical Image Understanding Technology, Springer-Verlag, Berlin.10.1007/978-3-540-40997-7
Search in Google Scholar
Tadeusiewicz, R. and Szczepaniak, P.S. (2008). Basic concepts of knowledge-based image understanding, in N.T. Nguyen, E. Puchala, M. Wozniak and A. Zolnierek (Eds.), KESAMSTA 2008, Proceedings LNAI 4953, Springer-Verlag, Berlin, pp. 42-52.10.1007/978-3-540-78582-8_5
Search in Google Scholar
Tadeusiewicz R., Ogiela, M.R. (2005). Picture languages in automatic radiological palm interpretation, International Journal of Applied Mathematics and Computer Science 15(2): 305-312
Search in Google Scholar
Tadeusiewicz, R., Ogiela, L. and Ogiela, M.R. (2008). The automatic understanding approach to systems analysis and design, International Journal of Information Management 28(1): 38-48.10.1016/j.ijinfomgt.2007.03.005
Search in Google Scholar
Tomczyk, A. (2005). Active hypercontours and contextual classification, Proceedings of the 5-th International Conference on Intelligent Systems Design and Applications ISDA'2005, Wrocław, Poland, pp. 256-261.
Search in Google Scholar
Tomczyk, A. and Szczepaniak, P.S. (2005). On the relationship between active contours and contextual classification, in M. Kurzyński, G.S. Jo, R.J. Howlett and L.C. Jain (Eds.), Computer Recognition Systems. Proceedings of the 5-th International Conference on Computer Recognition Systems—CORES'05, Springer, Berlin, pp. 303-310.10.1007/3-540-32390-2_35
Search in Google Scholar
Tomczyk, A. and Szczepaniak, P.S. (2006). Adaptive potential active hypercontours, Proceedings of the 8-th International Conference on Artificial Intelligence and Soft Computing—ICAISC'2006, Springer-Verlag, Berlin, pp. 692-701.
Search in Google Scholar
Tomczyk, A. and Szczepaniak, P.S. (2007). Contribution of active contour approach to image understanding, Proceedings of the IEEE International Workshop on Imaging Systems and Techniques IST'2007, Cracow, Poland, (on CD-ROM).10.1109/IST.2007.379598
Search in Google Scholar
Zheng, J.Y. and Tsuji, S. (1998). Generating dynamic projection images for scene representation and understanding, Computer Vision and Image Understanding 72(3): 237-256.10.1006/cviu.1998.0678
Search in Google Scholar

Articles in this issue

DOI: https://doi.org/10.2478/v10006-009-0013-7 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X

Journal RSS Feed

Language: English

Page range: 143 - 150

Published on: Apr 2, 2009

Published by: University of Zielona Góra

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

automatic understanding,

Related subjects:

© 2009 Ryszard Tadeusiewicz, Marek Ogiela, Piotr Szczepaniak, published by University of Zielona Góra
This work is licensed under the Creative Commons License.

Volume 19 (2009): Issue 1 (March 2009)