Abstract
In the paper a clustering technique to segment an image in to “homogeneous” regions is studied. The homogeneity of each region is evaluated by means of a “proximity function” computed between the pixels. The main result of such approach is that no-histogramming is required in order to perform segmentation. Possibilistic and probabilistic approaches are, also, combined to evaluate the significativity of the computed regions.
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© 1988 Springer-Verlag Berlin Heidelberg
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Di Gesú, V. (1988). A Clustering Approach to texture Classification. In: Jain, A.K. (eds) Real-Time Object Measurement and Classification. NATO ASI Series, vol 42. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83325-0_12
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DOI: https://doi.org/10.1007/978-3-642-83325-0_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-83327-4
Online ISBN: 978-3-642-83325-0
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