Abstract
In order to face the various needs of users, user-driven segmentation methods are expected to provide more relevant results than fully automatic approaches. Within Mathematical Morphology, several user-driven approaches have been proposed, mostly relying on the watershed transform. Nevertheless, Soille (IEEE TPAMI, 2008) has recently suggested another solution by gathering puzzle pieces computed as Quasi-Flat Zones (QFZ) of an image. In this paper, we study more deeply this user-driven segmentation scheme in the context of video data. Thus we also introduce the concept of Spatio-Temporal QFZ and propose several methods for extracting such zones from a video sequence.
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.
Similar content being viewed by others
References
Adams, R., Bischof, L.: Seeded region growing. IEEE Transanction on Pattern Analysis and Machine Intelligence 16(6), 641–647 (1994)
Agnus, V.: Segmentation spatio-temporelle de séquences d’images par des opérateurs de morphologie mathématique. Ph.D. thesis, Université Louis Pasteur, Strasbourg (2001)
Angulo, J., Serra, J.: Color segmentation by ordered mergings. In: Proceedings of the IEEE International Conference on Image Processing, pp. 125–128 (2003)
Chien, S.-Y., Huang, Y.-W., Chen, L.-G.: Predictive watershed: a fast watershed algorithm for video segmentation. IEEE Transactions on Circuits and Systems for Video Technology 13(5), 453–461 (2003)
Crespo, J., Schafer, R.: The flat zone approach and color images. In: Serra, J., Soille, P. (eds.) Mathematical Morphology and its Applications to Image Processing, pp. 85–92. Kluwer Academic Publishers, Dordrecht (1994)
Flores, F.C., Lotufo, R.A.: Watershed from propagated markers: An interactive method to morphological object segmentation in image sequences. Image and Vision Computing 28(11), 1491–1514 (2010)
Gu, C., Lee, M.-C.: Semiautomatic segmentation and tracking of semantic video objects. IEEE Transactions on Circuits and Systems for Video Technology 8(5), 572–584 (1998)
Marcotegui, B., Zanoguera, F., Correia, P., Rosa, R., Mech, R., Wollborn, M.: A video object generation tool allowing friendly user interaction. In: IEEE International Conference on Image Processing, vol. 2, pp. 391–395 (1999)
Nagao, M., Matsuyama, T., Ikeda, Y.: Region extraction and shape analysis in aerial photographs. Computer Graphics and Image Processing 10(3), 195–223 (1979)
Rivest, J.-F., Beucher, S., Delhomme, J.: Marker-controlled segmentation: an application to electrical borehole imaging. Journal of Electronic Imaging 1(2), 136–142 (1992)
Serra, J., Salembier, P.: Connected operators and pyramids. In: Proceedings of SPIE, Non-Linear Algebra and Morphological Image Processing, vol. 2030, pp. 65–76 (1993)
Soille, P.: On genuine connectivity relations based on logical predicates. In: Proceedings of the 14th International Conference on Image Analysis and Processing, pp. 487–492. IEEE Computer Society, Washington, DC, USA (2007)
Soille, P.: Constrained connectivity for hierarchical image partitioning and simplification. IEEE Transactions on Pattern Analysis and Machine Intelligence 30(7), 1132–1145 (2008)
Soille, P.: Constrained connectivity for the processing of very-high-resolution satellite images. International Journal of Remote Sensing 31(22), 5879–5893 (2010), doi:10.1080/01431161.2010.512622
Soille, P., Grazzini, J.: Constrained connectivity and transition regions. In: Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing, Groningen, The Netherlands, pp. 59–69. Springer, Heidelberg (2009)
Zanoguera, F.: Segmentation interactive d’images fixes et de séquences vidéo basée sur des hierarchies de partitions. Ph.D. thesis, Ecole des Mines de Paris (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Weber, J., Lefèvre, S., Gançarski, P. (2011). Spatio-temporal Quasi-Flat Zones for Morphological Video Segmentation. In: Soille, P., Pesaresi, M., Ouzounis, G.K. (eds) Mathematical Morphology and Its Applications to Image and Signal Processing. ISMM 2011. Lecture Notes in Computer Science, vol 6671. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21569-8_16
Download citation
DOI: https://doi.org/10.1007/978-3-642-21569-8_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21568-1
Online ISBN: 978-3-642-21569-8
eBook Packages: Computer ScienceComputer Science (R0)