Abstract
In this paper, we explore the possibility to use 2D pattern spectra as suitable feature vectors in galaxy classification tasks. The focus is on separating mergers from projected galaxies in a data set extracted from the Sloan Digital Sky Survey Data Release 7. Local pattern spectra are built in parallel and are based on an object segmentation obtained by filtering a max-tree structure that preserves faint structures. A set of pattern spectra using size and Hu’s and Flusser’s image invariant moments information is computed for every segmented galaxy. The C4.5 tree classifier with bagging gives the best classification result. Mergers and projected galaxies are classified with a precision of about 80%.
M.H.F. Wilkinson—This work was funded by the Netherlands Organisation for Scientific Research (NWO) under project number 612.001.110.
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
Abazajian, K.N., Adelman-McCarthy, J.K., Agüeros, M.A., Allam, S.S., Allende Prieto, C., An, D., Anderson, K.S.J., Anderson, S.F., Annis, J., Bahcall, N.A.: The Seventh Data Release of the Sloan Digital Sky Survey. The Astrophysical Journal Supplement Series 182, 543 (2009)
Banerji, M., Lahav, O., Lintott, C.J., Abdalla, F.B., Schawinski, K., Bamford, S.P., Andreescu, D., Murray, P., Raddick, M.J., Slosar, A., Szalay, A., Thomas, D., Vandenberg, J.: Galaxy zoo: reproducing galaxy morphologies via machine learning. Monthly Notices of the Royal Astronomical Society 406(1), 342–353 (2010)
Bertin, E., Arnouts, B.: Sextractor: software for source extraction. Astronomy and Astrophysics 117(Suppl. Ser.), 393–404 (1996)
Braga-Neto, U., Goutsias, J.: A multiscale approach to connectivity. Comp. Vis. Image Understand. 89, 70–107 (2003)
Breen, E.J., Jones, R.: Attribute openings, thinnings and granulometries. Comp. Vis. Image Understand. 64(3), 377–389 (1996)
Flusser, J., Suk, T.: Construction of complete and independent systems of rotation moment invariants. In: Petkov, N., Westenberg, M.A. (eds.) CAIP 2003. LNCS, vol. 2756, pp. 41–48. Springer, Heidelberg (2003)
Flusser, J.: On the independence of rotation moment invariants. Pattern Recognition (PR) 33(9), 1405–1410 (2000)
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The weka data mining software: An update. SIGKDD Explor. Newsl. 11(1), 10–18 (2009). http://doi.acm.org/10.1145/1656274.1656278
Hu, M.K.: Visual pattern recognition by moment invariants. IRE Transactions on Information Theory 8(2), 179–187 (1962)
Lintott, C.J., Schawinski, K., Slosar, A., Land, K., Bamford, S., Thomas, D., Raddick, M.J., Nichol, R.C., Szalay, A., Andreescu, D., Murray, P., Vandenberg, J.: Galaxy Zoo: morphologies derived from visual inspection of galaxies from the Sloan Digital Sky Survey. Monthly Notices of the Royal Astronomical Society 389(3), 1179–1189 (2008)
Lotz, J.M., Primack, J., Madau, P.: A new nonparametric approach to galaxy morphological classification. The Astronomical Journal 128(1), 163 (2004)
Maragos, P.: Pattern spectrum and multiscale shape representation. IEEE Trans. Pattern Anal. Mach. Intell. 11, 701–715 (1989)
Moschini, U., Teeninga, P., Wilkinson, M.H.F., Giese, N., Punzo, D., van der Hulst, J.M., Trager, S.C.: Towards better segmentation of large floating point 3D astronomical data sets: first results. In: Proceedings of the 2014 Conference on Big Data from Space (BiDS 2014), pp. 232–235. Publications Office of the European Union (2014)
Peng, C.Y., Ho, L.C., Impey, C.D., Rix, H.W.: Detailed structural decomposition of galaxy images. The Astronomical Journal 124(1), 266 (2002). http://stacks.iop.org/1538-3881/124/i=1/a=266
Pesaresi, M., Wilkinson, M.H.F., Moschini, U., Ouzounis, G.K.: Concurrent computation of connected pattern spectra for very large image information mining. In: ESA-EUSC-JRC 8th Conference on Image Information Mining, pp. 21–25. Publications Office of the European Union (2012)
Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers Inc., San Francisco (1993)
Salembier, P., Oliveras, A., Garrido, L.: Anti-extensive connected operators for image and sequence processing. IEEE Trans. Image Proc. 7, 555–570 (1998)
Serra, J.: Image Analysis and Mathematical Morphology. II: Theoretical Advances. Academic Press, London (1988)
Starkenburg, T.: Classifying galaxies with mathematical morphology (2009). https://www.mysciencework.com/publication/read/7470103/classifying-galaxies-with-mathematical-morphology
Teeninga, P., Moschini, U., Trager, S.C., Wilkinson, M.H.F.: Improved detection of faint extended astronomical objects through statistical attribute filtering. In: Benediktsson, J.A., Chanussot, J., Najman, L., Talbot, H. (eds.) ISMM 2015. LNCS, vol. 9082, pp. 157–168. Springer, Heidelberg (2015)
Urbach, E.R., Roerdink, J.B.T.M., Wilkinson, M.H.F.: Connected shape-size pattern spectra for rotation and scale-invariant classification of gray-scale images. IEEE Trans. Pattern Anal. Mach. Intell. 29(2), 272–285 (2007)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Moschini, U., Teeninga, P., Trager, S.C., Wilkinson, M.H.F. (2015). Parallel 2D Local Pattern Spectra of Invariant Moments for Galaxy Classification. In: Azzopardi, G., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2015. Lecture Notes in Computer Science(), vol 9257. Springer, Cham. https://doi.org/10.1007/978-3-319-23117-4_11
Download citation
DOI: https://doi.org/10.1007/978-3-319-23117-4_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-23116-7
Online ISBN: 978-3-319-23117-4
eBook Packages: Computer ScienceComputer Science (R0)