An Experimental Evaluation of the Polar-Fourier Greyscale Descriptor in the Recognition of Objects with Similar Silhouettes

  • Dariusz Frejlichowski
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7594)


The use of the Polar-Fourier Greyscale Descirptor in the recognition of objects, which are very similar in shape is evaluated in the paper. For this purpose, a benchmark image database consisting of six butterflies species was applied. The investigated descriptor, which was designed for the representation of objects extracted from digital images, is based on the combination of polar and Fourier transforms applied for objects in greyscale. Some other operations are applied in order to improve the efficiency of the algorithm as a whole. The method was tested using 120 images of butterflies, 20 for 6 species, and has obtained 90% of efficiency.


Test Object Active Contour Image Encode Active Contour Model Average Recognition Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Frejlichowski, D.: An Algorithm for Binary Contour Objects Representation and Recognition. In: Campilho, A., Kamel, M. (eds.) ICIAR 2008. LNCS, vol. 5112, pp. 537–546. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  2. 2.
    Osowski, S., Nghia, D.D.: Fourier and Wavelet Descriptors for Shape Recognition Using Neural Network — a Comparative Study. Pattern Recognition 35(9), 1949–1957 (2002)CrossRefzbMATHGoogle Scholar
  3. 3.
    Glendinning, R.H., Herbert, R.A.: Shape Classification, Using Smooth Principal Components. Pattern Recognition Letters 24(12), 2021–2030 (2003)CrossRefGoogle Scholar
  4. 4.
    Silveira, M., Monteiro, A.: Automatic Recognition and Measurement of Butterfly Eyespot Patterns. Biosystems 95(2), 130–136 (2009)CrossRefGoogle Scholar
  5. 5.
    Schmid, C., Dorko, G., Lazebnik, S., Mikolajczyk, K., Ponce, L.: Pattern Recognition with Local Invariant Features. In: Chen, C.H., Wang, P.S.P. (eds.) Handbook of Pattern Recognition and Computer Vision, 3rd edn., pp. 71–92. World Scientific Publishing Co. (2005)Google Scholar
  6. 6.
    Lee, C., Chen, C.: Color Pattern Recognition using Image Encoding Joint Transform Correlator. Microwave and Optical Technology Letters 49(7), 1665–1669 (2007)CrossRefGoogle Scholar
  7. 7.
    Frejlichowski, D.: Identification of Erythrocyte Types in Greyscale MGG Images for Computer-Assisted Diagnosis. In: Vitrià, J., Sanches, J.M., Hernández, M. (eds.) IbPRIA 2011. LNCS, vol. 6669, pp. 636–643. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  8. 8.
    Frejlichowski, D.: Application of the Polar-Fourier Greyscale Descriptor to the Problem of Identification of Persons Based on Ear Images. In: Choraś, R.S. (ed.) Image Processing and Communications Challenges 3. AISC, vol. 102, pp. 5–12. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  9. 9.
    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)CrossRefGoogle Scholar
  10. 10.
    Hupkens, T.M., de Clippeleir, J.: Noise and Intensity Invariant Moments. Pattern Recognition Letters 16(4), 371–376 (1995)CrossRefGoogle Scholar
  11. 11.
    Lazebnik, S., Schmid, C., Ponce, J.: Semi-Local Affine Parts for Object Recognition. In: Proc. of the British Machine Vision Conference, vol. 2, pp. 959–968 (September 2004)Google Scholar
  12. 12.
    Ngoi, K.P., Jia, J.C.: An Active Contour Model for Colour Region Extraction in Natural Scenes. Image and Vision Computing 17(13), 955–966 (1999)CrossRefGoogle Scholar
  13. 13.
    Kukharev, G.: Digital Image Processing and Analysis. Szczecin University of Technology Press (1998) (in Polish)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Dariusz Frejlichowski
    • 1
  1. 1.Faculty of Computer Science and Information TechnologyWest Pomeranian University of Technology, SzczecinSzczecinPoland

Personalised recommendations