Content-Based Image Retrieval Using Texture Structure Histogram

DOI

10.2991/icmt-13.2013.166How to use a DOI?

Keywords

image retrieval texture structure histogram feature representation

Abstract

In this paper, we proposed a novel image feature descriptor, namely texture structure histogram (TSH) for content-based image retrieval. This method using the color and edge orientation information to describe the image texture structure information. Considering the HSV color space conforms to humans' visual perception mechanism, the feature extraction is conducted in the HSV color space. This paper puts forward the non-equal interval quantization scheme that makes the expression of the image information to be more reasonable. In feature representation phase, we use the feature fusion mechanism that makes the color and shape information merge together and get a better results. The experiment re-sults demonstrate that the proposed method more efficient and have a high retrieval performance.

Copyright

© 2013, 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  - Hou Gang
AU  - Feng Qinghe
AU  - Zhang Xiaoxue
AU  - Kong Jun
AU  - Zhang Ming
PY  - 2013/11
DA  - 2013/11
TI  - Content-Based Image Retrieval Using Texture Structure Histogram
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 1349
EP  - 1356
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.166
DO  - 10.2991/icmt-13.2013.166
ID  - Gang2013/11
ER  -