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2019 | OriginalPaper | Chapter

Fast Superpixel Segmentation with Deep Features

Authors : Mubinun Awaisu, Liang Li, Junjie Peng, Jiawan Zhang

Published in: Advances in Computer Graphics

Publisher: Springer International Publishing

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Abstract

In this paper, we propose a superpixel segmentation method which utilizes extracted deep features along with the combination of color and position information of the pixels. It is observed that the results can be improved significantly using better initial seed points. Therefore, we incorporated a one-step k-means clustering to calculate the positions of the initial seed points and applied the active search method to ensure that each pixel belongs to the right seed. The proposed method was also compared to other state-of-the-art methods quantitatively and qualitatively, and was found to produce promising results that adhere to the object boundaries better than others.

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Metadata
Title
Fast Superpixel Segmentation with Deep Features
Authors
Mubinun Awaisu
Liang Li
Junjie Peng
Jiawan Zhang
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-22514-8_38

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