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Fuzzy Spatial Relations-Based Markers Location on Images From an Infrared Camera

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Języki publikacji
EN
Abstrakty
EN
The following paper presents a fuzzy assessed spatial relations-based approach to detect a set of visual markers on a rotating steel cylinder previously discussed by the authors. Presented algorithm uses fuzzy inference system based on fuzzy assessed objects’ shape, orientation and mutual relative position in an input image.
Twórcy
autor
  • Institute of Applied Computer Science, Lodz University of Technology
autor
  • Institute of Applied Computer Science, Lodz University of Technology
Bibliografia
  • [1] J. Kucharski, J. Zgraja, P. Urbanek, A. Frączyk, 3d modeling of electromagnetic-thermal fenomena in induction heated rotrating steel cylinder, Automatyka - Zeszyty Naukowe AGH, vol. 15/3, pp. 403-411, 2011
  • [2] T. Jaworski, J. Kucharski, Preprocessing and clusterization of thermal images of induction heated steel cylinder, Automatyka - Zeszyty Naukowe AGH, vol. 15/3, pp. 143-160, 2011
  • [3] P. Urbanek, J. Kucharski, Modelling of dynamic properties of induction heated rotating steel cylinder, in Proceedings of the 13th IEEE/IFAC International Conference on Methods and Models in Automation and Robotics, IEEE/IFAC International Conference on Methods and Models in Automation and Robotics, 2007
  • [4] T. Jaworski, J. Kucharski, The use of fuzzy logic for description of spatial relations between objects, Zeszyty Naukowe Automatyka, Vol. 14/3/1, pp. 563-580, 2010
  • [5] N. Otsu, Threshold selection method from graylevel histograms, IEEE Trans Syst Man Cybern, Vol. SMC-9, No. 1, pp. 62-66, 1979
  • [6] R. Klette, A. Rosenfeld, Digital Geometry: Geometric Methods for Digital Picture Analysis, Morgan Kaufmann, 1 ed., Aug. 2004
  • [7] A. Rosenfeld, Distances between fuzzy sets, Pattern Recognition Letters, Vol. 3, No. 4, pp. 229-233, 1985
  • [8] C. Hudelot, J. Atif, I. Bloch, Fuzzy spatial relation ontology for image interpretation, Fuzzy Sets and Systems, Vol. 159, No. 15, pp. 1929-1951, 2008
  • [9] K. Pearson, On lines and planes of closest fit to systems of points in space, Philosophical Magazine, Vol. 2, No. 6, pp. 559-572, 1901
  • [10] K. Miyajima, A. Ralescu, Spatial organization in 2d segmented images: Representation and recognition of primitive spatial relations, Fuzzy Sets and Systems, Vol. 65, No. 2-3, pp. 225-236, 1994
  • [11] K. Miyajima, A. Ralescu, Spatial organization in 2d images, Vol. 1, (Orlando, FL, USA), pp. 100-105, IEEE, Piscataway, NJ, United States. Conference of Proceedings of the 3rd IEEE Conference on Fuzzy Systems, Part 3, 1994
  • [12] I. Bloch, A. Ralescu, Directional relative position between objects in image processing: A comparison between fuzzy approaches, Pattern Recognition, Vol. 36, No. 7, pp. 1563-1582, 2003
  • [13] M. Setnes, R. Babuska, U. Kaymak, H.R. van Nauta Lemke, Similarity measures in fuzzy rule base simplification, IEEE Trans Syst Man Cybern B Cybern, Vol. 28, No. 3, pp. 376-386, 1998
  • [14] D. J. Dubois, H. Prade, Fuzzy Sets and Systems: Theory and Applications, Academic Press, New York, 1980
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-affa5673-2005-4a34-b80a-8ff752994c81
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