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ARPN Journal of Systems and Software >> Volume 6, Number 1, June 2016

ARPN Journal of Systems and Software


Performance Evaluation of Shape Analysis Techniques

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Author S.Selvarajah, S.R. Kodituwakku
ISSN 2222-9833
On Pages 12-18
Volume No. 1
Issue No. 1
Issue Date April 01, 2011
Publishing Date April 01, 2011
Keywords Colour moments, directional edges, non-directional edges



Abstract

Shape is one of the important features used in Content Based Image retrieval (CBIR) systems. The shape of the object is a binary image representing the object. They are broadly categorized into two groups: contour-based and region-based shape descriptors. An experimental comparison of a number of different shape features for CBIR is presented in this paper. The objective of this research is to determine which shape feature or combination of features is most efficient in representing the images. In this paper, we first present the comparison of individual shape features and then the comparison of combined shape features. For the experiments, publicly available image databases are used and the retrieval performance of the features is analyzed in detail. The article is concluded by stating which shape features perform well for CBIR. 

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