Attribute Based Image Retrieval and Segmentation using On-tological Approaches

  • Authors

    • Ch Mamatha
    • Dr. V. Anandam
    • Priyadarshini Chatterjee
    • Hepshiba Vijaya Kumari
    2018-09-25
    https://doi.org/10.14419/ijet.v7i4.6.20440
  • Attribute based image retrieval, Ontology, Image segmentation.

  • Abstract

    Content based image retrieval is gaining more and more importance as it is an apt approach to retrieve an image. The image is retrieved based on certain texture. Ontology is a branch of Meta Physics that helps in analyzing an input image based on certain textures. Ontology helps to retrieve an image based on its properties. Ontology describes a domain. With that domain, we can proceed further to understand the relation between the features present in the domain. There are biological-ontologies to analyze biological outcomes. The field of information technology can be combined with biological ontology to study the results of different biological effects. With the systematic concept of ontology that includes rules, classes, relations etc we can understand an image better that eventually helps in accurate image retrieval. Ontology can be generic or domain specific. In this paper we will be using domain specific ontology used to analyze the features of digital images along with image segmentation to retrieve an image. We will be testing our proposed system using the colored images of mammals. In case of image segmentation we will using the general techniques already existing.

     

     

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  • How to Cite

    Mamatha, C., V. Anandam, D., Chatterjee, P., & Vijaya Kumari, H. (2018). Attribute Based Image Retrieval and Segmentation using On-tological Approaches. International Journal of Engineering & Technology, 7(4.6), 103-107. https://doi.org/10.14419/ijet.v7i4.6.20440

    Received date: 2018-09-29

    Accepted date: 2018-09-29

    Published date: 2018-09-25