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An review on superpixels generation algorithms

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Superpixel segmentation is the oversegmentation of an image into a set of homogeneous regions. Superpixel has many specific properties and has been commonly used as supporting regions for primitives to reduce computations in various computer vision tasks. One property of superpixels is compactness, which is preferred in some applications. In this paper, we give an review on image superpixel segmentation algorithms proposed in recent years. Superpixel segmentation approaches are classified based on the compactness constraint and their main idea are introduced. We also compare these algorithms in visual and evaluate them with five common measurements.

image segmentationsuperpixelcompactness

Zhang Yongxia、Zhang Caiming

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School of Computer Science and Technology, Shandong University, Jinan 250101, China

National Science Foundation of ChinaNational Science Foundation of ChinaNSFC Joint Fund with Zhejiang Integration of Informatization and Industrialization under Key Project

6137307861572292U1609218

2017

10.19583/j.1003-4951.2017.01.0007

计算机辅助绘图设计与制造(英文版)
中国图学学会

计算机辅助绘图设计与制造(英文版)

影响因子：0.155
ISSN：1003-4951
年,卷(期)：2017.27(1)
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