Abstract
We propose an innovative segmentation algorithm based on mathematical morphology operators. This definition is based on a morphological and fuzzy pattern-matching approach, and consists in comparing an object to a fuzzy landscape representing the degree of satisfaction of an affinity relationship. It has good formal properties, it is flexible, it fits the intuition, and it can be used for structural pattern recognition under imprecision. Moreover, it also applies in 3D and for fuzzy objects issued from images.
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
Bloch, I.: Fuzzy Relative Position Between Objects in Image Processing: A Morphological Approach. IEEE Transaction On Pattern Analisys and Machine Intelligence 21(7) (July 1999)
Bloch, I., Maitre, H.: Fuzzy Adjacency between Image Objects. International Journal of Uncertainty, Fuzzyness and Knowledge-Based Systems 5(6), 615–653 (1997)
Bloch, I., Maitre, H.: Fuzzy mathematical morphologies: a comparative study. Pattern Recognition 28(9), 1341–1387 (1995)
Lee, J.-M., Yoon, U., Nam, S.-H., Kim, J.-H., Kim, I.-Y., Kim, S.-I.: Evaluation of automated and semi-automated skull-stripping algorithms using similarity index and segmentation error. Computers in Biology and Medicine 33, 495–507 (2003)
Martino, G., Petrosino, A.: Fuzzy Connectivity and its Application to Image Segmentation. In: Apolloni, B., Marinaro, M., Nicosia, G., Tagliaferri, R. (eds.) WIRN 2005 and NAIS 2005. LNCS, vol. 3931, pp. 197–206. Springer, Heidelberg (2006)
Pham, D.-L., Xu, C., Prince, J.L.: A survey of current methods in medical image segmentation. Annual Review of Biomedical Engineering (January 1998)
Udupa, J.K., Saha, P.K.: Fuzzy Connectedness and Image segmentation. Proc. of the IEEE 91(10) (October 2003)
Udupa, J.K., Saha, P.K., Odhner, D.: Scale-based fuzzy connectedness image segmentation: Theory, algorithms and applications in image segmentation. Comput. Vision Image Understanding 77, 145–174 (2000)
Wang, Z., Lu, L., Bovik, A.C.: Video quality assessment based on structural distortion measurement. Signal Processing: image communication 19(2), 121–132 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bloch, I., Martino, G., Petrosino, A. (2006). A Fuzzy Mathematical Morphology Approach to Multiseeded Image Segmentation. In: Bloch, I., Petrosino, A., Tettamanzi, A.G.B. (eds) Fuzzy Logic and Applications. WILF 2005. Lecture Notes in Computer Science(), vol 3849. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11676935_45
Download citation
DOI: https://doi.org/10.1007/11676935_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32529-1
Online ISBN: 978-3-540-32530-7
eBook Packages: Computer ScienceComputer Science (R0)