An Improved Image Retrieval Algorithm Based on Color Histogram

DOI

10.2991/ameii-15.2015.205How to use a DOI?

Keywords

CBIR; Generalized Histogram; Dominant Color Matrix

Abstract

Color is a basic element of image content and is one of the main sensing features for recognizing images. Color histogram is widely used to retrieve images and the processing mostly concerns the choice and quantization of color space, the definition of color histogram and the distance of two images in color histogram space. In this paper, three key questions on how to make use of the characteristic of color are discussed, that is, expression of color, obtain of the characteristic of color and measurement of similarity. HSV color space can describe characteristic of color well, generalized histogram and block dominant color matrix can express the color distribution well. Experiment results show that the new algorithm proposed in this paper is more efficient and can significantly improve the precision rate.

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/).

Download article (PDF)

TY  - CONF
AU  - Yanxue Dong
PY  - 2015/04
DA  - 2015/04
TI  - An Improved Image Retrieval Algorithm Based on Color Histogram
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 1110
EP  - 1114
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.205
DO  - 10.2991/ameii-15.2015.205
ID  - Dong2015/04
ER  -