Superpixels Based Interactive Image Segmentation Algorithm

DOI

10.2991/icibet.2013.23How to use a DOI?

Abstract

A superpixels based interactive image segmentation algorithm is proposed in this paper. Firstly the initial segmentation is obtained by MeanShift algorithm, and then a graph is built using pre-segmented regions as nodes, finally min-cut/max-flow algorithm is implemented for global solution. In this process, each region is represented by a color histogram and Bhattacharyya coefficient is chosen to calculate the similarity between any two regions. Extensive experiments are performed and the results show that the presented algorithm obtains much more satisfactory segmentation results with less user interaction and less comsuming time than MSRM algorithm.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jianwu LONG
AU  - Xuanjing SHEN
AU  - ZANG Hui
AU  - Haipeng CHEN
PY  - 2013/03
DA  - 2013/03
TI  - Superpixels Based Interactive Image Segmentation Algorithm
BT  - Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013)
PB  - Atlantis Press
SP  - 112
EP  - 115
SN  - 1951-6851
UR  - https://doi.org/10.2991/icibet.2013.23
DO  - 10.2991/icibet.2013.23
ID  - LONG2013/03
ER  -