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2022 | OriginalPaper | Chapter

Segmentation of Image Using Hybrid K-means Algorithm

Authors : Roopa Kumari, Neena Gupta

Published in: Cyber Security, Privacy and Networking

Publisher: Springer Nature Singapore

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Abstract

Image segmentation is a crucial step to recognizing an object. During the segmentation process, pixels in an image are categorized based on their gray color. In pixel classifications, the K-means clustering algorithm is commonly used. In this approach, the centroid of the segment was measured using arithmetic mean and Euclidean distance. In the proposed paper, the centroid was updated using the hybridization of harmonic and arithmetic means. The proposed algorithm makes use of the harmonic and arithmetic mean features. The experimental results are compared to conventional K-means and harmonic K-means algorithms, demonstrating that the proposed algorithm performs better when checking segmentation consistency.

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Metadata
Title
Segmentation of Image Using Hybrid K-means Algorithm
Authors
Roopa Kumari
Neena Gupta
Copyright Year
2022
Publisher
Springer Nature Singapore
Book
Cyber Security, Privacy and Networking

Print ISBN: 978-981-16-8663-4

Electronic ISBN: 978-981-16-8664-1

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-981-16-8664-1_32