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Machine-Learning-Based Image Feature Selection

Machine-Learning-Based Image Feature Selection

Vivek K. Verma, Tarun Jain
Copyright: © 2022 |Pages: 9
ISBN13: 9781668462911|ISBN10: 1668462915|EISBN13: 9781668462928
DOI: 10.4018/978-1-6684-6291-1.ch048
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MLA

Verma, Vivek K., and Tarun Jain. "Machine-Learning-Based Image Feature Selection." Research Anthology on Machine Learning Techniques, Methods, and Applications, edited by Information Resources Management Association, IGI Global, 2022, pp. 930-938. https://doi.org/10.4018/978-1-6684-6291-1.ch048

APA

Verma, V. K. & Jain, T. (2022). Machine-Learning-Based Image Feature Selection. In I. Management Association (Ed.), Research Anthology on Machine Learning Techniques, Methods, and Applications (pp. 930-938). IGI Global. https://doi.org/10.4018/978-1-6684-6291-1.ch048

Chicago

Verma, Vivek K., and Tarun Jain. "Machine-Learning-Based Image Feature Selection." In Research Anthology on Machine Learning Techniques, Methods, and Applications, edited by Information Resources Management Association, 930-938. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-6684-6291-1.ch048

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Abstract

This is the age of big data where aggregating information is simple and keeping it economical. Tragically, as the measure of machine intelligible data builds, the capacity to comprehend and make utilization of it doesn't keep pace with its development. In content-based image retrieval (CBIR) applications, every database needs its comparing parameter setting for feature extraction. CBIR is the application of computer vision techniques to the image retrieval problem that is the problem of searching for digital images in large databases. In any case, the vast majority of the CBIR frameworks perform ordering by an arrangement of settled and pre-particular parameters. All the major machine-learning-based search algorithms have discussed in this chapter for better understanding related with the image retrieval accuracy. The efficiency of FS using machine learning compared with some other search algorithms and observed for the improvement of the CBIR system.

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