Image Retrieval Based on HSV Feature and Edge Direction Feature

DOI

10.2991/ameii-15.2015.185How to use a DOI?

Keywords

CBIR; HSV; Edge Direction;

Abstract

With the development of multimedia and Internet technology, content-based image retrieval (CBIR) systems have been widely used. However, how to automatically detect and target images in an image database still remains challenging. Since the HSV color space is more benefiting with human visual perception mechanism, we convert the image from RGB color space to HSV color space firstly, obtain the color structure map and edge direction index map and then get the color feature and edge direction feature, finally accomplish the retrieval. Experimental results in Corel_10000 data set show that the proposed algorithm performs better both on precision rate and recall rate compared with two classic algorithms of image retrieval.

Copyright

© 2015, 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  - Yanxue Dong
PY  - 2015/04
DA  - 2015/04
TI  - Image Retrieval Based on HSV Feature and Edge Direction Feature
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 1002
EP  - 1007
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.185
DO  - 10.2991/ameii-15.2015.185
ID  - Dong2015/04
ER  -