Abstract
Image analysis requires an appropriate description of shape. The structure of shape may be determined by a grouping of parts of the image with certain associated characteristics. A coarse-to-fine structure can be determined by an ordered sequence of hierarchical levels. Three methods of generating an ordered sequence are proposed, that is, based on grey-level images, based on shape primitives, and based on symbolic descriptions. The hierarchical representation is based on symbolic descriptions. This paper aims to generalize the hierarchical approach, and to explain the mathematical background.
The author wishes to acknowledge the referees for their helpful comments.
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© 1994 Springer-Verlag Berlin Heidelberg
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Ying-Lie, O. (1994). Hierarchical Shape Representation for Image Analysis. In: O, YL., Toet, A., Foster, D., Heijmans, H.J.A.M., Meer, P. (eds) Shape in Picture. NATO ASI Series, vol 126. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-03039-4_41
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DOI: https://doi.org/10.1007/978-3-662-03039-4_41
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