An image segmentation method based on network clustering model

Yang Jiao, Jianshe Wu and Licheng Jiao

Physica A: Statistical Mechanics and its Applications, 2018, vol. 490, issue C, 1532-1542

Abstract: Network clustering phenomena are ubiquitous in nature and human society. In this paper, a method involving a network clustering model is proposed for mass segmentation in mammograms. First, the watershed transform is used to divide an image into regions, and features of the image are computed. Then a graph is constructed from the obtained regions and features. The network clustering model is applied to realize clustering of nodes in the graph. Compared with two classic methods, the algorithm based on the network clustering model performs more effectively in experiments.

Keywords: Network clustering model; Clustering phenomenon; Graph construction; Image segmentation (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:490:y:2018:i:c:p:1532-1542

DOI: 10.1016/j.physa.2017.08.118

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