Abstract
In this paper, a novel feature for shape-based image classification is proposed, in which a set of randomly dilating discs are distributed on an unknown regular or irregular shape, and the radius histogram of discs is used to represent the target shape. By such doing, a shape can be modeled by the radius histogram. The proposed feature is rather effective for shape retrieval with rotation and scaling invariance. The proposed feature is particularly effective in the retrieval of string-linked objects in which conventional approaches may fail badly. Experimental results on seven shapes and string-linked objects show that our proposed new feature is very effective in shape classification and shape-based image retrieval.
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Zhao, X., Xu, C., Chi, Z., Feng, D. (2010). A Novel Shape-Based Image Classification Method by Featuring Radius Histogram of Dilating Discs Filled into Regular and Irregular Shapes. In: Wong, K.W., Mendis, B.S.U., Bouzerdoum, A. (eds) Neural Information Processing. Theory and Algorithms. ICONIP 2010. Lecture Notes in Computer Science, vol 6443. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17537-4_30
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DOI: https://doi.org/10.1007/978-3-642-17537-4_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17536-7
Online ISBN: 978-3-642-17537-4
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