Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
In this paper structural analysis of patterns being a special type of curves is presented. The recognized objects are segmented according to their structural properties into primitive patterns representing generic shapes. Then, an algebraic formula describing the structure of the analyzed curve is created. The description is unique.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
39--55
Opis fizyczny
Bibliogr. 11 poz., wykr.
Twórcy
autor
- Department of Geoinformatics and Applied Computer Science, Faculty of Geology, Geophysics and Environment Protection, AGH University of Sience and Technology, Al. Mickiewicza 30, 30-059 Cracow, Poland
Bibliografia
- [1] Engelking R.: Dimension theory. PWN, Warszawa (in Polish), 1981.
- [2] Jakubowski R.: Extraction of shape features for syntactic recognition of mechanical parts. IEEE Trans, on Systems, Man and Cybernetics, vol. 15, 211-230, 1985.
- [3] Falconer K.: Practal geometry. Wiley, New York, 1990.
- [4] Nishida H., Mori S.: Algebraic description of curve structure. IEEE Transactions on Pattern Anal-ysis and Machinę Intelligence, vol. l4, 516-533, 1992.
- [5] Behrens U., Flasiński M., Hagge L., Ohrenberg K.: ZEX - an Expert System for ZEUS. IEEE Trans, on Nuclear Science, vol. 41, nr l, 152-156, 1994.
- [6] Clementini E., Felice P.: A global framework for qualitative shape description. Geolnformatica, vol. l, 11-27, 1997.
- [7] Bielecka M.: Algorithm of structural analysis of function graphs fragments. Komputerowe Systemy Rozpoznawania, Kurzyński M., Puchala E., Woźniak M.- eds., Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław, 213-217 (in Polish), 1999.
- [8] Flasińska M., Jurek J.: Dynamically programmed automata for quasi context sensitive languages as a tool for inference support in pattern recignition-based real-time systems, Pattern Recognition, vol. 32, 671-690. 1999.
- [9] Zieliński J. (Ed.) : Intelligent systems in management - Theory and Practice. PWN, Warszawa, (in Polish), 1999.
- [10] Bielecka M., Bielecki A., Kędzierski M.: Segmentation of distorted trend patterns. Komputerowe Systemy Rozpoznawania, Kurzyński M., Puchała E., Woźniak M. -eds., Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław, 281-286, 2001.
- [11] Bielecka M.: Neuronally aided fuzzy methods of recognition of one-dimensional curves structural features. Ph.D. Thesis, Electrotechnics, Automatics, Computer Science and Electronic Faculty, AGH, Kraków (in Polish), 2002.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA1-0027-0013