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Impact of Feature Extraction Techniques on a CBIR System

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Advances in Computing and Data Sciences (ICACDS 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1045))

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Abstract

Feature extraction is a key step and plays a deciding role for the performance of an image retrieval system. Success of a Content Based Image Retrieval System depends on the used features of the image. This paper includes a wide-range of survey on the various feature extraction process and their impact on the working behavior of an image retrieval system. This impact is calculated on the basis of retrieval accuracy, retrieval time, space complexity and feature extraction time. Comprehensive survey on the recent trends and challenges to the retrieval system has also been discussed. Furthermore, directions and suggestions, based on the real world applications are also suggested for encouraging the researchers in the area of image processing for adopting the optimized feature extraction process. This survey also tries to fill the gap between the traditional approaches and recent trends of feature extraction. More importantly, this paper also surveyed the issues with the feature extraction techniques in spatial as well as spectral domain.

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Author information

Authors and Affiliations

  1. Manipal University Jaipur, Jaipur, Rajasthan, India

    Ghanshyam Raghuwanshi

  2. Jaypee University of Engineering and Technology, Raghogarh, Guna, MP, India

    Vipin Tyagi

Authors
  1. Ghanshyam Raghuwanshi
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  2. Vipin Tyagi
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Corresponding author

Correspondence to Vipin Tyagi .

Editor information

Editors and Affiliations

  1. University of KwaZulu-Natal, Durban, South Africa

    Mayank Singh

  2. Computer Science and Engineering, Jaypee Institute of Information Technology, Waknaghat, Himachal Pradesh, India

    P.K. Gupta

  3. Department of Computer Science and Engineering, Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India

    Vipin Tyagi

  4. ÚTIA AV ČR, Institute of Information Theory and Automation, Prague 8, Praha, Czech Republic

    Jan Flusser

  5. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada

    Tuncer Ören

  6. CSE Department, Inderprastha Engineering College, Ghaziabad, Uttar Pradesh, India

    Rekha Kashyap

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Raghuwanshi, G., Tyagi, V. (2019). Impact of Feature Extraction Techniques on a CBIR System. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T., Kashyap, R. (eds) Advances in Computing and Data Sciences. ICACDS 2019. Communications in Computer and Information Science, vol 1045. Springer, Singapore. https://doi.org/10.1007/978-981-13-9939-8_30

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  • DOI: https://doi.org/10.1007/978-981-13-9939-8_30

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  • Print ISBN: 978-981-13-9938-1

  • Online ISBN: 978-981-13-9939-8

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