Abstract
The mere existence of natural living thing can be studied and analyzed efficiently only by Ontology, where each and every existence are concern as entities and they are grouped hierarchically via their relationship. This paper deals the way of how an image can be represented by its feature Ontology though which it would be easier to analyze and study the image automatically by a machine, so that a machine can visualize an image as human. Here we used the selected MPEG 7 visual feature descriptor and Texton parameter as entity for representing different categories of images. Once the image Ontology for different categories of images is provided image retrieval would be an efficient process as through ontology the semantic of image is been defined.
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Minu, R.I., Thyagarajan, K.K. (2013). A Novel Approach to Build Image Ontology Using Texton. In: Abraham, A., Thampi, S. (eds) Intelligent Informatics. Advances in Intelligent Systems and Computing, vol 182. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32063-7_35
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DOI: https://doi.org/10.1007/978-3-642-32063-7_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32062-0
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