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     Advance Journal of Food Science and Technology`


Method of Fruit Image Segmentation by Improved K-Means

Fangzheng Wang
Yancheng Institute of Health Sciences, Yancheng 224005, China
Advance Journal of Food Science and Technology`  2016  11:838-840
http://dx.doi.org/10.19026/ajfst.10.2271  |  © The Author(s) 2016
Received: May ‎25, ‎2015  |  Accepted: June ‎22, ‎2015  |  Published: April 15, 2016

Abstract

The clustering algorithm of K-means is a widely used clustering algorithm, which characteristic is efficient and simple to implement. In this study, it takes the clustering algorithm of K-means as the starting point, which also explains the improvement of the clustering algorithm of K-means clustering, discussing the application of K-means on the realization of fruit image segmentation.

Keywords:

Clustering algorithm, fruit image segmentation, K-means,


References

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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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