Proceedings of the 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)

Image Saliency Detection Algorithm Based on Super Pixels Partition

Authors
Wenwen Pan, Xiaofei Sun, Xia Wang, Tao Xu, Lina Gong
Corresponding Author
Wenwen Pan
Available Online September 2016.
DOI
https://doi.org/10.2991/amitp-16.2016.84How to use a DOI?
Keywords
Saliency detection, super pixel, saliency map, salient object.
Abstract
This paper proposes an image saliency detection algorithm based on super pixels partition. The algorithm first uses the simple linear iterative clustering method to divide the image into multiple super pixels, and then according to the rules of global saliency to calculate the saliency level of each super pixel, finally the saliency map of the whole image is obtained. Experimental results show that the proposed approach can extract saliency map from the image of different size with different types of salient object, and the effect is better.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-245-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/amitp-16.2016.84How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Wenwen Pan
AU  - Xiaofei Sun
AU  - Xia Wang
AU  - Tao Xu
AU  - Lina Gong
PY  - 2016/09
DA  - 2016/09
TI  - Image Saliency Detection Algorithm Based on Super Pixels Partition
PB  - Atlantis Press
SP  - 433
EP  - 437
SN  - 2352-538X
UR  - https://doi.org/10.2991/amitp-16.2016.84
DO  - https://doi.org/10.2991/amitp-16.2016.84
ID  - Pan2016/09
ER  -