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Content-Based Image Retrieval Techniques and Their Applications in Medical Science

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Biomedical Signal and Image Processing with Artificial Intelligence

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

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Abstract

Introduction: Content-based image retrieval (CBIR) retrieves the images from the vast image repositories. Research in the CBIR domain gets attention due to the massive number of images generated by the mobiles and various image-capturing machines.

Objectives: Any image retrieval system’s primary goal is to reduce the semantic gap between low-level features and high-level perception.

Methods: The CBIR techniques are classified into multiple categories based on the feature extraction and retrieval mechanism. These categories are feature-based, machine-learning-based, and deep-learning-based methods. The pioneer techniques for each category are explained in detail in this chapter.

Results: The comparative analysis has been done to highlight the advantages of techniques over others.

Conclusion: The various application area of the CBIR has been described. The most evolving application is the content-based medical image retrieval (CBMIR) system. The applicability of the CBMIR system in different medical science domains is explained in detail.

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Authors and Affiliations

  1. C. G. Patel Institute of Technology, Uka Tarsadia University, Bardoli, India

    Mayank R. Kapadia

  2. Sarvajanik College of Engineering and Technology, Surat, India

    Chirag N. Paunwala

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  1. Mayank R. Kapadia
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  2. Chirag N. Paunwala
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Editors and Affiliations

  1. Electronics & Communication Engineering, Sarvajanik College of Engineering and Technology, Surat, India

    Chirag Paunwala

  2. Electronics & Communication Engineering, C. K. Pithawala College of Engineering and Technology, Surat, India

    Mita Paunwala

  3. Electronics & Communication Engineering, G. H. Patel College of Engineering & Technology, Vallabh Vidyanagar, Gujarat, India

    Rahul Kher

  4. Electronics & Communication Engineering, G. H. Patel College of Engineering & Technology, Vallabh Vidyanagar, Gujarat, India

    Falgun Thakkar

  5. A. D. Patel Institute of Technology, New Vallabh Vidyanagar, India

    Heena Kher

  6. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

  7. UTM Razak School, Menara Razak, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

    Norliza Mohd. Noor

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Kapadia, M.R., Paunwala, C.N. (2023). Content-Based Image Retrieval Techniques and Their Applications in Medical Science. In: Paunwala, C., et al. Biomedical Signal and Image Processing with Artificial Intelligence. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-15816-2_7

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  • DOI: https://doi.org/10.1007/978-3-031-15816-2_7

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