Abstract
The problem of colour image segmentation is investigated in the context of mathematical morphology. Morphological operators are extended to colour images by means of a lexicographical ordering in a polar colour space, which are then employed in the preprocessing stage. The actual segmentation is based on the use of the watershed transformation, followed by region merging, with the procedure being formalized as a basin morphology, where regions are “eroded” in order to form greater catchment basins. The result is a fully automated processing chain, with multiple levels of parametrisation and flexibility, the application of which is illustrated by means of the Berkeley segmentation dataset.
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
Martin, D., Fowlkes, C., Tal, D., Malik, J.: A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In: Proceedings of the 8th International Conference on Computer Vision, Vancouver, Canada, vol. 2, pp. 416–423 (2001)
Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 2nd edn. Addison-Wesley, New York (1992)
Hanbury, A., Serra, J.: Colour image analysis in 3d-polar coordinates. In: International Conference on Image Processing and its Applications, Magdeburg, Germany (2003)
Serra, J.: Image Analysis and Mathematical Morphology, vol. I. Academic Press, London (1982)
Ronse, C.: Why mathematical morphology needs complete lattices. Signal Processing 21(2), 129–154 (1990)
Aptoula, E., Lefèvre, S.: A comparative study on multivariate mathematical morphology. Pattern Recognition (2007), doi:10.1016/j.patcog.2007.02.004).
Hanbury, A., Serra, J.: Morphological operators on the unit circle. IEEE Transactions on Image Processing 10(12), 1842–1850 (2001)
Gomila, C., Meyer, F.: Levelings in vector spaces. In: Proceedings of the IEEE Conference on Image Processing, Kobe, Japan (1999)
Chen, Q., Zhou, C., Luo, J., Ming, D.: Fast segmentation of high-resolution satellite images using watershed transform combined with an efficient region merging approach. In: Klette, R., Žunić, J. (eds.) IWCIA 2004. LNCS, pp. 621–630. Springer, Heidelberg (2004)
Garrido, L., Salembier, P., Garcia, D.: Extensive operators in partition lattices for image sequence analysis. Signal Processing 66(2), 157–180 (1998)
Angulo, J., Serra, J.: Modelling and segmentation of colour images in polar representations. Image and Vision Computing (2006), doi:10.1016/j.imavis.2006.07.018).
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Aptoula, E., Lefèvre, S. (2007). A Basin Morphology Approach to Colour Image Segmentation by Region Merging. In: Yagi, Y., Kang, S.B., Kweon, I.S., Zha, H. (eds) Computer Vision – ACCV 2007. ACCV 2007. Lecture Notes in Computer Science, vol 4843. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76386-4_89
Download citation
DOI: https://doi.org/10.1007/978-3-540-76386-4_89
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76385-7
Online ISBN: 978-3-540-76386-4
eBook Packages: Computer ScienceComputer Science (R0)