文章基本信息

标题：Image Segmentation Based on Multiplex Networks and Super Pixels
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作者：Ivo S. M. de Oliveira ; Oscar A. C. Linares ; Ary H. M. de Oliveira 等
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2019
卷号：9
期号：3
页码：1-10
DOI：10.5121/csit.2019.90304
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Despite the large number of techniques and applications in the field of image segmentation, it is still an open research field. A recent trend in image segmentation is the usage of graph theory. This work proposes an approach which combines community detection in multiplex networks, in which a layer represents a certain image feature, with super pixels. There are approaches for the segmentation of images of good quality that use a single feature or the combination of several features of the image forming a single graph for the detection of communities and the segmentation. However, with the use of multiplex networks it is possible to use more than one image feature without the need for mathematical operations that can lead to the loss of information of the image features during the generation of the graphs. Through the related experiments, presented in this work, it is possible to identify that such method can offer quality and robust segmentations.
关键词：community detection; complex networks; image segmentation; multiplex networks; super pixels