Abstract
The General Shape Analysis (GSA) is a problem similar to the typical recognition or retrieval of shapes, but it does not aim at the exact shape identification. The main goal is to find one or few most similar general templates, such as rectangle or triangle, for an investigated object. That allows for obtaining the most basic information about a shape. In this paper the experimental results on the application of three Fourier-based shape descriptors to the GSA problem are provided. The Euclidean distance is applied for measuring the dissimilarity between represented objects. In order to estimate the effectiveness of investigated shape descriptors the results of the experiments were compared with human benchmark results, collected by means of appropriate inquiry forms.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Brechner, S., Ade, F.: An Automatic System for the Classification of Microfossils. In: Proceedings of the 11th Scandinavian Conference on Image Analysis, vol. 2, pp. 825–832 (1999)
Dryden, I.L.: General shape and registration analysis. Stochastic Geometry: Likelihood and Computation (1997)
Forczmański, P., Frejlichowski, D.: Robust Stamps Detection and Classification by Means of General Shape Analysis. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds.) ICCVG 2010, Part I. LNCS, vol. 6374, pp. 360–367. Springer, Heidelberg (2010)
Frejlichowski, D.: An Algorithm for Binary Contour Objects Representation and Recognition. In: Campilho, A., Kamel, M.S. (eds.) ICIAR 2008. LNCS, vol. 5112, pp. 537–546. Springer, Heidelberg (2008)
Frejlichowski, D.: An Experimental Comparison of Seven Shape Descriptors in the General Shape Analysis Problem. In: Campilho, A., Kamel, M. (eds.) ICIAR 2010. LNCS, vol. 6111, pp. 294–305. Springer, Heidelberg (2010)
Frejlichowski, D.: Pre-processing, Extraction and Recognition of Binary Erythrocyte Shapes for Computer-Assisted Diagnosis Based on MGG Images. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds.) ICCVG 2010, Part I. LNCS, vol. 6374, pp. 368–375. Springer, Heidelberg (2010)
Frejlichowski, D.: Analysis of four polar shape descriptors properties in an exemplary application. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds.) ICCVG 2010, Part I. LNCS, vol. 6374, pp. 376–383. Springer, Heidelberg (2010)
Frejlichowski, D.: Analysis of possible system-level hardware implementation of selected shape description algorithms. Journal of Theoretical and Applied Computer Science 6(4), 51–58 (2012)
Gleissberg, S.: Comparative Analysis Of Leaf Shape Development In Eschscholzia Californica And Other Papaveraceae-Schscholzioideae. Am J. Bot. 91(3), 306–312 (2004)
Gut, P., Chmielewski, L., Kukołowicz, P., Dąbrowski, A.: Edge-based robust image registration for incomplete and partly erroneous data. In: Skarbek, W. (ed.) CAIP 2001. LNCS, vol. 2124, pp. 309–316. Springer, Heidelberg (2001)
Krupiński, R., Mazurek, P.: Electrooculography Signal Estimation by Using Evolution–Based Technique for Computer Animation Applications. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds.) ICCVG 2010, Part I. LNCS, vol. 6374, pp. 139–146. Springer, Heidelberg (2010)
Kukharev, G.: Digital Image Processing and Analysis. SUT Press, Szczecin (1998) (in Polish)
Lindsay, R., Smith, G., Atchison, D.: Descriptors of corneal shape. Optometry Vision Sci. 75(2), 156–158 (1998)
Rauber, T.W.: Two Dimensional Shape Description. Technical report: GR UNINOVA-RT-10-94. Universidade Nova de Lisboa, Lisoba, Portugal (1994)
Richards, R.A., Esteves, C.: Use of scale morphology for discriminating wild stocks of Atlantic striped bass. T. Am Fish Soc. 126(6), 919–925 (1997)
Rosin, P.L.: Measuring Rectangularity. Mach. Vision Appl. 11(4), 191–196 (1999)
Rosin, P.L.: Measuring Shape: Ellipticity, Rectangularity, and Triangularity. Mach. Vision Appl. 14(3), 172–184 (2003)
Rosin, P.L.: Computing Global Shape Measures. In: Chen, C.H., Wang, P.S.P. (eds.) Handbook of Pattern Recognition and Computer Vision, 3rd edn., pp. 177–196 (2005)
Rosin, P.L., Ẑunić J: Measuring Squareness and Orientation of Shapes. J. Math. Imaging Vis. 39, 13–27 (2011)
Zhang, D., Lu, G.: Shape-Based Image Retrieval Using Generic Fourier Descriptor. Signal Process-Image 17(10), 825–848 (2002)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Gościewska, K., Frejlichowski, D. (2013). An Experimental Comparison of Fourier-Based Shape Descriptors in the General Shape Analysis Problem. In: Burduk, R., Jackowski, K., Kurzynski, M., Wozniak, M., Zolnierek, A. (eds) Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Advances in Intelligent Systems and Computing, vol 226. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00969-8_33
Download citation
DOI: https://doi.org/10.1007/978-3-319-00969-8_33
Publisher Name: Springer, Heidelberg
Print ISBN: 978-3-319-00968-1
Online ISBN: 978-3-319-00969-8
eBook Packages: EngineeringEngineering (R0)