Abstract
In the paper a new method for binary shape characterization is proposed. It is based on the analysis of binary image pixels belonging to the internal boundary of an object performed by means of the mathematical morphology. By using morphological operators, internal boundary pixels are classified into three groups. This classification is performed for increasing sizes of structuring elements used. The changes within the class assignments are described by the boundary class distribution functions. These functions may be used as features in the pattern recognition process.
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Iwanowski, M. (2007). Binary Shape Characterization Using Morphological Boundary Class Distribution Functions. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds) Computer Recognition Systems 2. Advances in Soft Computing, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75175-5_38
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DOI: https://doi.org/10.1007/978-3-540-75175-5_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75174-8
Online ISBN: 978-3-540-75175-5
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