Abstract
In this paper, a class of transformations with reconstruction criteria, derived from the reconstruction transformations, is investigated. The idea to build these transformations consists in stopping the reconstruction process according to a size criterion. This class of transformations was initially proposed for obtaining intermediate results between the morphological opening and the opening by reconstruction. Here, the transformations are presented in the general case, as in the reconstruction transformations case, by imposing some conditions on the marker. We show that the set of markers for the transformations with reconstruction criteria is given by the set of dilated images. The interest of these transformations in image segmentation is shown. Also the notion of granulometry and the alternating sequential filters are investigated.
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
Meyer F., and Beucher S. (1990) Morphological segmentation. J. Vis. Comm. Image Represent., 1, 21–46.
Crespo J., Serra J. and Schafer R. (1995) Theoretical aspects of morphological filters by reconstruction. Signal Process, 47(2), 201–225.
Serra J. (2002) Viscous lattices. In Mathematical Morphology, H. Talbot and R. Beare Eds., CSIRO (Australia), 79–89.
Terol-Villalobos I. R., and Vargas-Vázquez D. (2001) Openings and closings by reconstruction using propagation criteria. Computer Analysis of Image and Patterns, W. Skarbek Ed., LNCS 2124, Springer 502–509.
Terol-Villalobos I. R., and Vargas-Vázquez D. (2002) A study of openings and closing using reconstruction criteria. In Mathematical Morphology, H. Talbot and R. Beare Eds., CSIRO (Australia), 413–423.
Vargas-Vázquez, D., Crespo, J., Maojo, V., and Terol-Villalobos, I. R. (2003) Medical image segmentation using openings and closings with reconstruction criteria. International Conference on Image Processing, Vol. 1, 620–631.
Vincent, L. (1993) Morphological grayscale reconstruction: applications and efficient algorithms., IEEE Trans. on Image Processing, 2(2), 176–201.
Tzafestas, C.S., and Maragos, P. (2002) Shape connectivity: multiscale analysis and application to generalized granulometries. J. Mathematical Imaging and Vision, 17, 109–129.
Serra, J. (1998) Image Analysis and Mathematical Morphology, Vol. II: Theoretical advances. Academic Press.
Salembier, Ph., and Oliveras A. (1996) Practical extensions of connected operators. In P. Maragos, R. W. Schafer and M.K. Butt, Eds., Mathematical Morphology and Its Aplications to Image and Signal Processing, pages 97–110. Kluwer.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer
About this paper
Cite this paper
Terol-Villalobos, I.R., Mendiola-Santibañez, J.D. (2005). Transformations with Reconstruction Criteria: Image Segmentation and Filtering. In: Ronse, C., Najman, L., Decencière, E. (eds) Mathematical Morphology: 40 Years On. Computational Imaging and Vision, vol 30. Springer, Dordrecht. https://doi.org/10.1007/1-4020-3443-1_8
Download citation
DOI: https://doi.org/10.1007/1-4020-3443-1_8
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-3442-8
Online ISBN: 978-1-4020-3443-5
eBook Packages: Computer ScienceComputer Science (R0)