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

Mayank R. Kapadia 1
, 
Chirag N. Paunwala 2
1
 
C. G. Patel Institute of Technology, Uka Tarsadia University, Bardoli, India | 
2
 
Sarvajanik College of Engineering and Technology, Surat, India | 
Publication type: Book Chapter
Publication date: 2022-09-13
Springer Nature
scimago Q4
SJR: 0.147
CiteScore: 2.5
Impact factor: —
ISSN: 25228595, 25228609
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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Kapadia M. R., Paunwala C. N. Content-Based Image Retrieval Techniques and Their Applications in Medical Science // Advances in Industrial Internet of Things, Engineering and Management. 2022. pp. 123-151.
GOST all authors (up to 50) Copy
Kapadia M. R., Paunwala C. N. Content-Based Image Retrieval Techniques and Their Applications in Medical Science // Advances in Industrial Internet of Things, Engineering and Management. 2022. pp. 123-151.
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RIS Copy
TY - GENERIC
DO - 10.1007/978-3-031-15816-2_7
UR - https://doi.org/10.1007/978-3-031-15816-2_7
TI - Content-Based Image Retrieval Techniques and Their Applications in Medical Science
T2 - Advances in Industrial Internet of Things, Engineering and Management
AU - Kapadia, Mayank R.
AU - Paunwala, Chirag N.
PY - 2022
DA - 2022/09/13
PB - Springer Nature
SP - 123-151
SN - 2522-8595
SN - 2522-8609
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@incollection{2022_Kapadia,
author = {Mayank R. Kapadia and Chirag N. Paunwala},
title = {Content-Based Image Retrieval Techniques and Their Applications in Medical Science},
publisher = {Springer Nature},
year = {2022},
pages = {123--151},
month = {sep}
}