Real-Time Superpixel Segmentation by DBSCAN Clustering Algorithm

In this paper, we propose a real-time image superpixel segmentation method with 50 frames/s by using the density-based spatial clustering of applications with noise (DBSCAN) algorithm. In order to decrease the computational costs of superpixel algorithms, we adopt a fast two-step framework. In the f...

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Bibliographic Details

Published in:	IEEE transactions on image processing Vol. 25; no. 12; pp. 5933 - 5942
Main Authors:	Shen, Jianbing, Hao, Xiaopeng, Liang, Zhiyuan, Liu, Yu, Wang, Wenguan, Shao, Ling
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.12.2016
Subjects:	Clustering algorithms Computational efficiency DBSCAN Image color analysis Image segmentation Optimization Real-time Real-time systems segmentation Shape superpixel
ISSN:	1057-7149, 1941-0042, 1941-0042
Online Access:	Get full text
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