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Innovations in Computer Science and Engineering pp 29–40Cite as

Image Retrieval System Based on Perceptual Browsing Component Using Interactive Genetic Algorithm

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 32))

Abstract

The most recent upgrades in digital imaging and computing innovation brought on a quick development of advanced media in the individualized computing and media outlet. Moreover, vast accumulations of such information as of now exist in various logical application spaces, for example medical imaging and geographical information system (GIS). Overseeing expansive accumulations of multimedia information require the advancement of new tools and technologies. A system for retrieving images PC framework for surfing, testing and recuperating images from substantial databases that are used to store and manage digital images. Keeping in mind the end goal to surge in the rightness of image retrieval, the descriptor contains a perceptual browsing component (PBC) which is realized by employing an algorithm based on GA which is interactive in nature and is advertised. PBC system contains color, edge, and texture as primitive low-level image descriptors. The proposed system does the recovery mechanism in two phases. In the first phase, query image is considered for getting feature descriptors and they are taken out. Thus, it is further used to compare against the images available within the database. In the development stage, highly relevant images are identified and arranged. Thus, the proposed GA-based approach can provide close results to users. The experimental evaluation is made using a database of color images which is named UCI dataset. The empirical results revealed that the proposed system is used in retrieving highly relevant images.

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Authors and Affiliations

  1. Department of CSE, VITS, Hyderabad, Telangana, India

    C. Srinivasa Kumar & S. Jumlesha

  2. Vignan University, Guntur, Andhra Pradesh, India

    M. Sumalatha

Authors
  1. C. Srinivasa Kumar
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  2. M. Sumalatha
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  3. S. Jumlesha
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Corresponding author

Correspondence to C. Srinivasa Kumar .

Editor information

Editors and Affiliations

  1. Guru Nanak Institutions, Ibrahimpatnam, Telangana, India

    H. S. Saini

  2. Guru Nanak Institutions, Ibrahimpatnam, Telangana, India

    Rishi Sayal

  3. School of Information Technology, Jawaharlal Nehru Technological University, Hyderabad, Telangana, India

    A. Govardhan

  4. Cloud Computing and Distributed Systems (CLOUDS) Laboratory, The University of Melbourne, Melbourne, Victoria, Australia

    Rajkumar Buyya

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Srinivasa Kumar, C., Sumalatha, M., Jumlesha, S. (2019). Image Retrieval System Based on Perceptual Browsing Component Using Interactive Genetic Algorithm. In: Saini, H., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, vol 32. Springer, Singapore. https://doi.org/10.1007/978-981-10-8201-6_4

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  • DOI: https://doi.org/10.1007/978-981-10-8201-6_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8200-9

  • Online ISBN: 978-981-10-8201-6

  • eBook Packages: EngineeringEngineering (R0)

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