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Proceedings of International Conference on Artificial Intelligence and Applications pp 305–316Cite as

A Genesis of an Effective Clustering-Based Fusion Descriptor for an Image Retrieval System

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1164))

Abstract

The tremendous advancements in digital technology pertaining to diverse application areas like medical diagnostics, crime detection, defense, etc., have led to an exceptional increase in the multimedia image content. This bears an acute requirement of an efficacious recovery system to cope up with human demands. The content-based is among the renowned retrieval systems which uses color, texture, shape, edge and other spatial information to extract basic image features. Here, in this paper to enhance the performance of the image retrieval system, a unique and unexcelled color fusion descriptor which combines color moment and color histogram is being proposed. A hybrid feature vector (HFV) is formed after combining features of these two color techniques, and this HFV is given as input to the clustering algorithm. This clustering algorithm performs an efficient class prediction of the given query image by the user. This clustering-based system is also very effective in solving issues related to retrieval time of desired images. Various benchmark datasets like Corel-1K, Corel-5K, Corel-10K and COIL-100 have been tested on the proposed system, and average precision of 91.35%, 77.6%, 71.5% and 97.7% has been obtained, respectively, which is comparatively higher than many state-of-the-art-related techniques.

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Author information

Authors and Affiliations

  1. ECE Department, DCRUST, Murthal, Sonepat, Haryana, India

    Shikha Bhardwaj, Gitanjali Pandove & Pawan Kumar Dahiya

  2. UIET, Kurukshetra University, Haryana, India

    Shikha Bhardwaj

Authors
  1. Shikha Bhardwaj
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  2. Gitanjali Pandove
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  3. Pawan Kumar Dahiya
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Corresponding author

Correspondence to Shikha Bhardwaj .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Maharaja Surajmal Institute of Technology, New Delhi, India

    Poonam Bansal

  2. Department of Electrical and Electronics Engineering, Maharaja Surajmal Institute of Technology, New Delhi, India

    Meena Tushir

  3. Department of Automation and Applied Software, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  4. Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi, India

    Rajeev Srivastava

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Cite this paper

Bhardwaj, S., Pandove, G., Dahiya, P.K. (2021). A Genesis of an Effective Clustering-Based Fusion Descriptor for an Image Retrieval System. In: Bansal, P., Tushir, M., Balas, V., Srivastava, R. (eds) Proceedings of International Conference on Artificial Intelligence and Applications. Advances in Intelligent Systems and Computing, vol 1164. Springer, Singapore. https://doi.org/10.1007/978-981-15-4992-2_29

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