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Exponential Fourier Moment-Based CBIR System: A Comparative Study

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Microelectronics, Electromagnetics and Telecommunications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 655))

Abstract

Content-based image retrieval (CBIR) is a technique for browsing, searching, and retrieving images from a large database of image collections. The availability of large amount of image collections necessitates powerful algorithms for image retrieval. CBIR system extracts image information known as features that are used to retrieve relevant images from image database that best match with query image. A moment-based content-based image retrieval system is explored in this paper. Exponential Fourier moment-based CBIR system, improved exponential Fourier moment-based CBIR system, and accurate and fast exponential Fourier-based CBIR system are developed. Comparative analysis is performed on three moment-based CBIR systems in terms of average precision and retrieval time for the two benchmark databases GT face and COIL-100. Among the three moment-based CBIR systems, it is observed that accurate and fast exponential Fourier-based CBIR system delivers good results.

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References

  1. Hu MK Visual pattern recognition by moment invariants. IRE Trans Inform Theory

    Google Scholar 

  2. Teh C-H, Chin RT (1988) On image analysis by the methods of moments. IEEE Trans Pattern Anal Mach Intell 10(4):496–513

    Article  Google Scholar 

  3. Abu-Mostafa YS, Psaltis D (1985) Image normalization by complex moments. IEEE Trans Pattern Anal Mach Intell 1:46–55

    Article  Google Scholar 

  4. Khotanzad A, Hong YH (1990) Invariant image recognition by Zernike moments. IEEE Trans Pattern Anal Mach Intell 12(5):489–497

    Article  Google Scholar 

  5. Hu H-T et al (2014) Orthogonal moments based on exponent functions: exponent-Fourier moments. Pattern Recogn 47(8):2596–2606

    Article  Google Scholar 

  6. Kim WY, Kim YS (2000) A region-based shape descriptor using Zernike moments. Signal Process: Image Commun 16:95–102

    Google Scholar 

  7. Xiao B, Li W-S, Wang G-Y (2015) Errata and comments on “Orthogonal moments based on exponent functions: exponent-Fouriermoments”. Pattern Recogn 48(4):1571–1573

    Article  Google Scholar 

  8. Hu H-T, Quan J, Shao C (2016) Errata and comments on “Errata and comments on orthogonal moments based on exponent functions: exponent-Fourier moments”. Pattern Recogn 52:471–476

    Article  Google Scholar 

  9. Satya PS, Urooj S (2017) Accurate and fast computation of exponent fourier moment, Springer (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Jawaharlal Nehru Technological University Kakinada, University College of Engineering Vizianagaram, Vizianagaram, Andhra Pradesh, India

    J. Surendranadh

  2. Electronics and Communication Engineering, Jawaharlal Nehru Technological University Kakinada, University College of Engineering Vizianagaram, Vizianagaram, Andhra Pradesh, India

    Ch. Srinivasa Rao

Authors
  1. J. Surendranadh
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  2. Ch. Srinivasa Rao
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Corresponding author

Correspondence to J. Surendranadh .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Raghu Institute of Technology, Visakhapatnam, Andhra Pradesh, India

    P. Satish Rama Chowdary

  2. Department of Electronics and Communication Engineering, Raghu Institute of Technology, Visakhapatnam, Andhra Pradesh, India

    V.V.S.S.S. Chakravarthy

  3. Department of Electronics and Telecommunication Engineering, Universitat Ramon Llull, Barcelona, Spain

    Jaume Anguera

  4. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  5. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

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Surendranadh, J., Srinivasa Rao, C. (2021). Exponential Fourier Moment-Based CBIR System: A Comparative Study. In: Chowdary, P., Chakravarthy, V., Anguera, J., Satapathy, S., Bhateja, V. (eds) Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol 655. Springer, Singapore. https://doi.org/10.1007/978-981-15-3828-5_79

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  • DOI: https://doi.org/10.1007/978-981-15-3828-5_79

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-3827-8

  • Online ISBN: 978-981-15-3828-5

  • eBook Packages: EngineeringEngineering (R0)

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