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Bezier Curve Based Continuous Medial Representation for Shape Analysis: A Theoretical Framework

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Mining Intelligence and Knowledge Exploration (MIKE 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10682))

Abstract

In this paper, we introduce a continuous medial representation (skeleton + radial function) to compute the description of a given bitmap image. The computational geometry based mathematical model is proposed to obtain the continuous medial representation unlike traditional algorithms which are used to estimate medial representation of bitmap image in a discrete/heuristic manner. The skeleton of the polygonal figure is represented by straight line control graph of a compound Bezier curve which results in simple and accurate description. The process of pruning is devised to eliminate the spurious branches which are quite often exist while processing shapes in real scenario and hence continuous skeleton regularization is achieved for its accurate representation.

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Acknowledgements

This work is supported by Russian Foundation for Basic Research, RFBR Grant No. 16-57-45054 and Department of Science and Technology Grant No. INT/RUS/RFBR/P-248.

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Correspondence to B. H. Shekar .

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Mesteskiy, L., Shekar, B.H. (2017). Bezier Curve Based Continuous Medial Representation for Shape Analysis: A Theoretical Framework. In: Ghosh, A., Pal, R., Prasath, R. (eds) Mining Intelligence and Knowledge Exploration. MIKE 2017. Lecture Notes in Computer Science(), vol 10682. Springer, Cham. https://doi.org/10.1007/978-3-319-71928-3_6

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  • DOI: https://doi.org/10.1007/978-3-319-71928-3_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-71927-6

  • Online ISBN: 978-3-319-71928-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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