A Robust Image Retireval Algorithm Based on Interest points

DOI

10.2991/csss-14.2014.160How to use a DOI?

Keywords

image retrieval, interest points, annular color histogram, texture features,Gabor

Abstract

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.

Copyright

© 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/).

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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  -