Abstract
This paper presents a new algorithm to extract the centreline of 2D objects. The algorithm computes the centreline from all the points of object in order to remain faithful to the structure of the shape. The idea is to cluster a data set constituted of the spatial position of each point composing the object. The centreline is derived from the set of computed clusters centres. The proposed method is accurate and robust to noisy boundaries.
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Ferchichi, S., Wang, S., Grira, S. (2007). New Algorithm to Extract Centerline of 2D Objects Based on Clustering. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2007. Lecture Notes in Computer Science, vol 4633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74260-9_33
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DOI: https://doi.org/10.1007/978-3-540-74260-9_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74258-6
Online ISBN: 978-3-540-74260-9
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