Abstract
In statistical shape analysis, curve matching is often used to find correspondences between the sample points of a curve image and those of another curve image by using a dissimilarity measure of curve images. In this paper, we present a novel dissimilarity measure of curve images to be used in curve matching, together with a way of distributing sample points on each curve image. We prove that the dissimilarity measure has an asymptotic guarantee for finding a part of a curve image which is similar to a part of another one, with their respective sample points.
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Iwata, K., Hayashi, A. (2009). Sampling Curve Images to Find Similarities among Parts of Images. In: Köppen, M., Kasabov, N., Coghill, G. (eds) Advances in Neuro-Information Processing. ICONIP 2008. Lecture Notes in Computer Science, vol 5506. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02490-0_81
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DOI: https://doi.org/10.1007/978-3-642-02490-0_81
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02489-4
Online ISBN: 978-3-642-02490-0
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