A Robust Image Retireval Algorithm Based on Interest points
Gao Wenwen, Sun Yanhong
Available Online June 2014.
- 10.2991/csss-14.2014.160How to use a DOI?
- image retrieval, interest points, annular color histogram, texture features,Gabor
The global features can not capture all parts of the image having different characteristics and can not contain the spatial features. so in this work we present a novel approach which extracts the local color and texture features based on interest points and utilizes the local information of the interest points to express the contents of images. It not only overcomes the shortage that single image feature can not be truly characterized, but also has a strong robustness to rotation, translation and criterion. Experiment results demonstrate that the proposed approach shows a quite improvement in the retrieval effectiveness.
- © 2014, 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/).
Cite this article
TY - CONF AU - Gao Wenwen AU - Sun Yanhong PY - 2014/06 DA - 2014/06 TI - A Robust Image Retireval Algorithm Based on Interest points BT - Proceedings of the 3rd International Conference on Computer Science and Service System PB - Atlantis Press SP - 690 EP - 693 SN - 1951-6851 UR - https://doi.org/10.2991/csss-14.2014.160 DO - 10.2991/csss-14.2014.160 ID - Wenwen2014/06 ER -