A Survey on Image Segmentation Methods using Clustering Techniques

Nameirakpam Dhanachandra and Yambem Jina Chanu
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Nameirakpam Dhanachandra: EEE Department, National Institute of Technology, Manipur, India
Yambem Jina Chanu: CSE Department, National Institute of Technology, Manipur

European Journal of Engineering and Technology Research, 2017, vol. 2, issue 1, 15-20

Abstract: Image segmentation has been considered as the first step in the image processing. An efficient segmentation result would make it easier for further analysis of image processing. However, there exits many algorithms and approaches for image segmentation. Clustering is one of the commonly used image segmentation techniques. In this paper, we have briefly describe some of the clustering techniques and discuss some of the recent works by researchers on these techniques.

Keywords: Image segmentation; Clustering techniques; K-means; Fuzzy c-means; Subtractive; Expectation Maximization; DBSCAN. (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:2:y:2017:i:1:id:60237

DOI: 10.24018/ejeng.2017.2.1.237

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