Abstract
In the current study two approaches to the clustering problem have been tested. First, a sequential analysis of -ltering and fuzzy c-means (FCM) method is performed. Then, the standard FCM has been modi-ed by adding to the objective function a second term that formulates a spatial constraint. In both approaches mean, median, and myriad are implemented. The analysis has been performed on a synthetic image and clinical images.
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© 2005 Springer-Verlag Berlin Heidelberg
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Kawa, J., Pietka, E. (2005). Image Clustering with Median and Myriad Spatial Constraint Enhanced FCM. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_23
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DOI: https://doi.org/10.1007/3-540-32390-2_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25054-8
Online ISBN: 978-3-540-32390-7
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