Abstract
This paper describes a method to improve a given segmentation result in order to produce a new, refined and more accurate segmented image. The method consists of three phases: shrinking of the input partitions, filtering of the input imagery leading to a mask image, and expansion of the shrunk partitions within the filtered image. The concept is illustrated for the enhancement of a land cover data set using multispectral satellite imagery.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Serra, J.: Image analysis and mathematical morphology. Academic Press, London (1982)
Soille, P.: Morphological Image Analysis: Principles and Applications, 2nd edn. Springer, Heidelberg (2003)
Vincent, L.: Efficient computation of various types of skeletons. In: Loew, M. (ed.) Medical Imaging V: Image Processing, vol. 1445, pp. 297–311. SPIE, San Jose (1991)
Ranwez, V., Soille, P.: Order independent homotopic thinning for binary and grey tone anchored skeletons. Pattern Recognition Letters 23, 687–702 (2002)
Vincent, L.: Morphological grayscale reconstruction in image analysis: applications and efficient algorithms. IEEE Transactions on Image Processing 2, 176–201 (1993)
Soille, P.: Beyond self-duality in morphological image analysis. Image and Vision Computing 23, 249–257 (2005)
Vincent, L.: Morphological area openings and closings for greyscale images. In: Proc. Shape in Picture 1992, NATO Workshop, Driebergen, The Netherlands. Springer, Heidelberg (1992)
Salembier, P., Serra, J.: Flat zones filtering, connected operators, and filters by reconstruction. IEEE Transactions on Image Processing 4, 1153–1160 (1995)
Brunner, D., Soille, P.: Iterative area seeded region growing for multichannel image simplification. In: Ronse, C., Najman, L., Decencire, E. (eds.) Mathematical Morphology: 40 Years of Computational Imaging and Vision, vol. 30, pp. 397–406. Kluwer Academic Publishers, Dordrecht (2005)
Beucher, S., Meyer, F.: The morphological approach to segmentation: the watershed transformation. In: Dougherty, E. (ed.) Mathematical morphology in image processing of Optical Engineering, vol. 34, pp. 433–481. Marcel Dekker, New York (1993)
Adams, R., Bischof, L.: Seeded region growing. IEEE Transactions on Pattern Analysis and Machine Intelligence 16, 641–647 (1994)
Büetner, G., Feranec, J., Jaffrain, G.: Corine land cover update 2000, technical guidelines. Technical Report 89, European Environmental Agency, Copenhagen (2000)
de Lima, V.N., Peedell, S.: Image2000 - the European spatial reference. In: Proc. of 10th EC-GI & GIS Workshop, Warsaw. European Commission, Joint Research Centre, June 23–25 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Iwanowski, M., Soille, P. (2005). Morphological Refinement of an Image Segmentation. In: Gagalowicz, A., Philips, W. (eds) Computer Analysis of Images and Patterns. CAIP 2005. Lecture Notes in Computer Science, vol 3691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11556121_66
Download citation
DOI: https://doi.org/10.1007/11556121_66
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28969-2
Online ISBN: 978-3-540-32011-1
eBook Packages: Computer ScienceComputer Science (R0)