Abstract
This paper presents a method of extracting shape information from clipart images, then measuring the similarity between different clipart images using the extracted shape information. To represent the shape of clipart images, the proposed method expresses the convex and concave aspects of an outline using the ratio of a rectangle. The shape outline us then expressed using a rectangle representation and converted into a chain code. Experimental results demonstrated that the proposed method is superior in expressing shape information than previous outline-based feature methods.
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© 2004 Springer-Verlag Berlin Heidelberg
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Choi, CG., Chang, Y., Cho, JH., Kim, SH. (2004). Extract Shape from Clipart Image Using Modified Chain Code – Rectangle Representation. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24768-5_27
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DOI: https://doi.org/10.1007/978-3-540-24768-5_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22060-2
Online ISBN: 978-3-540-24768-5
eBook Packages: Springer Book Archive