Abstract
This paper shows the shape retrieval descriptor based on saliences by exploiting the relation between a contour and its skeleton. The saliences are a very important way to represent a shape, because they are invariants under linear transformations. We introduce a new matching algorithm to estimate the similarity between two shapes represented by its contour saliences, even when we are dealing with two shapes of the same type but with different numbers of saliences. Some experimental results are presented and discussed in order to demonstrate the potentiality of the proposed technique.
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© 2008 Springer-Verlag Berlin Heidelberg
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Pedrosa, G.V., Santos, C.F., Batista, M.A., Fernandes, H.C., Barcelos, C.A.Z. (2008). An Effective Salience-Based Algorithm for Shape Matching. In: Blanc-Talon, J., Bourennane, S., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2008. Lecture Notes in Computer Science, vol 5259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88458-3_74
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DOI: https://doi.org/10.1007/978-3-540-88458-3_74
Publisher Name: Springer, Berlin, Heidelberg
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